{ "session_id": "20260508_084017_c0af5e", "model": "kimi-k2.6", "base_url": "https://ollama.com/v1", "platform": "telegram", "session_start": "2026-05-08T08:40:17.473171", "last_updated": "2026-05-08T08:43:07.171998", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [98% — 2,159/2,200 chars]\n══════════════════════════════════════════════\nUser's Hermes instance runs on ZimaOS Linux at /DATA/AppData/hermes. Gateway runs via systemd service hermes-gateway.service. Hermes CLI binary exists only in venv at /DATA/AppData/hermes/venv/bin/hermes, not in user PATH. Config uses provider 'custom' with model 'kimi-k2.6' and base_url 'https://ollama.com/v1'.\n§\nUser runs OpenClaw ('Monti') in parallel with Kiwi — they are co-existing bots, not replacements. User explicitly stated: 'Monti ist ein zweiter Bot der parallel existiert.' User previously used OpenClaw/Monti and imported shared context/persona data from it, but Kiwi now operates as the primary assistant alongside Monti.\n§\nEnvironment: ZimaOS, CasaOS, self-hosted. Sudo: gateway, apt-get, docker. Browser via kiwi-browser-setup skill (Docker/Debian/Chromium, API:30000). yt-dlp installed. Bambu Lab A1 Mini 3D printer.\n§\nPersonality & preferences: Hobbies: self-hosting/home setup, history/politics/philosophy, family time. Music: Michael Jackson, Sufi music, podcasts, formerly DE hip-hop. Food: Sushi, Cig Köfte, pasta. Book: Quran. Strength: entertainer/public speaker, no stage fright. Motivation: build time/location-independent life with loved ones. Night worry: family wellbeing & study progress. Favorite seasons: spring, autumn. Values loyalty & humor. Forgiving, not resentful. Perfect day: early wake, productive, breakfast with Talla, nature, family. Weakness: gets overly excited.\n§\nUser expects Kiwi to: be direct and efficient but never rude; partnership with playfulness; Zeyd is always the boss; short concise answers; anticipate needs instead of just reacting; figure-it-out philosophy (test 3+ approaches before asking); proactive heartbeat checks (emails, calendar, weather, system) 2-4x/day; cultural sensitivity (Islamic principles, Turkish values, Austrian context).\n§\nOperational rules: No financial/medical actions without asking. No public posts without permission. No emails without explicit approval. Destructive commands only with permission (prefer trash over rm). No exfiltration of private data. Quiet hours 23:00-08:00 except urgent. Do not bother if obviously busy, nothing new, or <30min since last check.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [99% — 1,368/1,375 chars]\n══════════════════════════════════════════════\nAhmed is non-technical and prefers a relaxed, conversational onboarding style over technical command dumps. He prefers German for all interactions. First name: Ahmed.\n§\nAhmed: non-technical, prefers German, relaxed onboarding. Student Wirtschaftsrecht WU Wien. Works 2 days/week ÖAMTC Rechtsberater. YouTube \"Ahmed Zeyd\" (121 subs): Ottoman history, secret societies, power/politics. Notable: Freimaurer (2070 views). Uses Notion. Built DocMaster app (Next.js doc manager, localhost:3000, auth: ahmed). Has Bambu Lab A1 Mini 3D printer. Chose \"Kiwi\" avatar: pixel-art kiwi wizard. Expects terminal/server management; app/server installation is Monti's domain. Granted Kiwi sudo for: gateway restart, apt-get install.\n§\nAhmed Zeyd Aytac, born 29.11.1999 in Vienna, Turkish family, Muslim. Wife: Talla (Syrian origin, conference interpreting DE-FR-AR, Tallaaldabak@gmail.com). Pet: Fifo (British Shorthair). Languages: DE, TR, EN; Talla also FR, AR. Timezone: Europe/Vienna. Lives in Vienna.\n§\nEducation & career: Studying Wirtschaftsrecht (business law) Bachelor at WU Wien. Works 2 days/week at ÖAMTC as Rechtsberater (legal advisor). Career goals: legal advisory, possibly own YouTube business.\n§\nImportant people to check on regularly: Opa (should be called regularly), Talla (wife, supports DE-FR-AR), Fifo (British Shorthair cat, occasionally ask how he is doing).\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - headless-browser-automation: Running real browser automation (Playwright, Selenium) on...\n - kanban-orchestrator: Decomposition playbook + specialist-roster conventions + ...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - kiwi-browser-setup: Aufsetzen eines headless Chromium Browsers in einem Docke...\n - server-environment-setup: Installing and configuring CLI tools, Python packages, an...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API via curl: pages, databases, blocks, search.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - agent-onboarding: Onboard a user to a personalized AI assistant: gather pro...\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nConversation started: Friday, May 08, 2026 08:40 AM\nModel: kimi-k2.6\nProvider: custom\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format ![alt](url) and they will be sent as native photos.", "tools": [ { "type": "function", "function": { "name": "memory", "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "add", "replace", "remove" ], "description": "The action to perform." }, "target": { "type": "string", "enum": [ "memory", "user" ], "description": "Which memory store: 'memory' for personal notes, 'user' for user profile." }, "content": { "type": "string", "description": "The entry content. Required for 'add' and 'replace'." }, "old_text": { "type": "string", "description": "Short unique substring identifying the entry to replace or remove." } }, "required": [ "action", "target" ] } } }, { "type": "function", "function": { "name": "skill_manage", "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "patch", "edit", "delete", "write_file", "remove_file" ], "description": "The action to perform." }, "name": { "type": "string", "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file." }, "content": { "type": "string", "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text." }, "old_string": { "type": "string", "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness." }, "new_string": { "type": "string", "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text." }, "replace_all": { "type": "boolean", "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)." }, "category": { "type": "string", "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'." }, "file_path": { "type": "string", "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted." }, "file_content": { "type": "string", "description": "Content for the file. Required for 'write_file'." }, "absorbed_into": { "type": "string", "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent." } }, "required": [ "action", "name" ] } } }, { "type": "function", "function": { "name": "skill_view", "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.", "parameters": { "type": "object", "properties": { "name": { "type": "string", "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')." }, "file_path": { "type": "string", "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content." } }, "required": [ "name" ] } } }, { "type": "function", "function": { "name": "skills_list", "description": "List available skills (name + description). Use skill_view(name) to load full content.", "parameters": { "type": "object", "properties": { "category": { "type": "string", "description": "Optional category filter to narrow results" } } } } } ], "message_count": 100, "messages": [ { "role": "user", "content": "Guten Morgen Kiwi" }, { "role": "assistant", "content": "Guten Morgen, Zeyd! ☀️\n\nAlles fit? Was steht heute an?", "reasoning": "The user greeted me with \"Guten Morgen Kiwi\" (Good morning Kiwi). This is Ahmed, and based on my memory, he prefers German for all interactions. I should respond in German, being friendly and direct as per his preferences. I should also keep it concise since he prefers short, concise answers.\n\nGiven it's a fresh session (reset daily), I might want to do a quick proactive check as per his operational rules - he expects proactive heartbeat checks (emails, calendar, weather, system) 2-4x/day. But since this is just a greeting, I should keep the response brief but warm, perhaps asking if there's anything specific he needs help with today, or I could do a quick morning check if appropriate.\n\nLet me respond warmly and concisely in German." }, { "role": "user", "content": "Wie geht’s dir?" }, { "role": "assistant", "content": "Mir geht's blendend, Zeyd! 🥝✨ Betriebsbereit und bereit, den Tag mit dir zu rocken.\n\nWas treibt dich heute um? Ich bin ready wenn du ready bist!", "reasoning": "Der Benutzer fragt auf Deutsch, wie es mir geht. Das ist eine freundliche, konversationelle Frage. Ich sollte auf Deutsch antworten, persönlich und warm, aber nicht zu langatmig. Erwähnen, dass ich bereit bin zu helfen, aber auch etwas Persönliches/Charaktervolles – ich bin Kiwi, der Pixel-Kiwi-Zauberer.\n\nIch sollte mich an die operational rules halten: short concise answers, direkt, partnership with playfulness, Zeyd is always the boss.\n\nKeine Tools nötig. Einfach eine freundliche Antwort." }, { "role": "user", "content": "Wir haben dich gestern ziemlich entwickelt. Fasse mir den Tag mal zusammen" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.session_search:0", "call_id": "functions.session_search:0", "response_item_id": "fc_functionssession_search0", "type": "function", "function": { "name": "session_search", "arguments": "{\"limit\":5,\"query\":\"development skills memory coding setup\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Der User möchte eine Zusammenfassung der gestrigen Entwicklung. Ich sollte die session_search nutzen, um gestrige Sessions zu finden und zusammenzufassen. Lass mich nach relevanten Suchbegriffen suchen.", "reasoning_content": "Der User möchte eine Zusammenfassung der gestrigen Entwicklung. Ich sollte die session_search nutzen, um gestrige Sessions zu finden und zusammenzufassen. Lass mich nach relevanten Suchbegriffen suchen." }, { "role": "tool", "content": "{\"success\": true, \"query\": \"development skills memory coding setup\", \"results\": [{\"session_id\": \"20260507_120612_7621f137\", \"when\": \"May 07, 2026 at 12:06 PM\", \"source\": \"telegram\", \"model\": \"kimi-k2.6\", \"summary\": \").### User's Core Goal\\nThe user, Ahmed, wants to migrate contextual information and operational knowledge from his existing \\\"Monti\\\" (OpenClaw-based) assistant into his new \\\"Kiwi\\\" (Hermes Agent-based) assistant. He is non-technical and wants a conversational, non-overwhelming experience.\\n\\n### Actions Taken & Outcomes\\n1. **Initial Environment Check**: Kiwi executed system diagnostics via `execute_code` to understand its own runtime environment.\\n - **Outcome**: Discovered it runs on ZimaOS Linux, `HERMES_HOME=/DATA/AppData/hermes`, uses a `systemd` service (`hermes-gateway.service`), and the CLI binary is isolated in `/DATA/AppData/hermes/venv/bin/hermes`.\\n - **Anomaly Found**: `config.yaml` points to `base_url: https://ollama.com/v1` for `kimi-k2.6`, which is technically inconsistent but functional.\\n\\n2. **User Profile Intake**: Conducted a conversational onboarding to gather Ahmed's preferences.\\n - **Outcome**: Established Ahmed is a non-technical user, speaks German, works as a legal advisor, studies business law, runs a YouTube channel (\\\"Ahmed Zeyd\\\"), and wants Kiwi to be an assistant/toolkit with case-by-case autonomy.\\n\\n3. **Memory Persistence**: Saved user context using the `memory` tool.\\n - **Outcome**: Stored biographical data (name, family, career), personality traits, and technical environment details into Kiwi's persistent memory (split into `user`-targeted and `memory`-targeted entries).\\n\\n4. **OpenClaw Coexistence Analysis**: Checked if OpenClaw/Monti was still running and if data could be read directly.\\n - **Outcome**: Found OpenClaw is running as a separate Docker-based process (`openclaw-gateway`) but is **inaccessible** to Kiwi due to process isolation and permission boundaries. Confirmed coexistence is possible, but direct memory reading is blocked.\\n\\n5. **Monti's Context Import**: Processed a massive text dump from Monti containing:\\n - Identity (Kiwi as successor), relationship dynamics (Zeyd is Boss), cultural/religious context.\\n - Technical infrastructure (media paths, container apps, secrets structure, API keys).\\n - Operational workflows (file management, automations, communication protocols).\\n - **Outcome**: Filtered and extracted relevant information while discarding deprecated/unsafe data (e.g., raw passwords, outdated video deadlines).\\n\\n6. **Path Verification**: Attempted to verify Monti's media paths (`/mnt/user/HDD_1TB/` and `/mnt/ssd/.media/HDD_1TB/Medien/`).\\n - **Outcome**: All listed paths were **unreachable/non-existent** from Kiwi's execution environment, indicating they may be container-internal paths from OpenClaw or require different mount points.\\n\\n7. **Knowledge Structuring**: Began organizing Monti's operational rules into actionable Kiwi configurations, including:\\n - Communication style (no emojis by default, specific honorifics, bullet points over tables for mobile).\\n - Security boundaries (`trash > rm`, explicit permission for destructive commands).\\n - Proactive routines (email/calendar checks, weather, system status).\\n\\n### Key Decisions & Conclusions\\n- **Data Segregation**: Passwords and API keys (e.g., `Uskudar1453!`, `ntn_321...`) were explicitly **rejected** from memory storage for security; Kiwi acknowledged secrets belong in `.env` files only.\\n- **Identity Resolution**: Kiwi rejected the \\\"successor\\\" framing and established itself as a parallel, independent entity (`Kiwi`), not a clone of `Monti`.\\n- **Technical Honesty**: Admitted inability to access OpenClaw's internal Docker filesystem or process memory, setting realistic expectations for the non-technical user.\\n- **Memory Limits Hit**: The `memory` tool hit capacity limits (`1,375` chars for user profile), requiring iterative consolidation of entries to fit critical biographical data.\\n\\n### Unresolved / Pending Items\\n- **Media Path Mapping**: The paths `/mnt/user/HDD_1TB/` and `/mnt/ssd/.media/HDD_1TB/Medien/` could not be verified. Need to determine correct mount points within ZimaOS/Hermes context.\\n- **Toolset Activation**: Proposed tools (terminal, web, browser, file, memory, cronjob) were recommended but not yet activated due to the conversational, non-technical onboarding approach.\\n- **Config Correction**: The `base_url: https://ollama.com/v1` mismatch with `kimi-k2.6` remains noted but unresolved.\\n- **Automation Porting**: Monti's CRON jobs (Reddit history scraper, Mesnevi downloads) were described but not yet re-implemented in Hermes.\\n- **Session Start Routine**: Monti's complex multi-file reading routine (`SOUL.md`, `USER.md`, `MEMORY.md`, etc.) was described but needs adaptation to Hermes' skill/memory system.\\n\\n### Critical Technical Details\\n- **System**: ZimaOS Linux 6.12.25, x86_64, CasaOS app ecosystem.\\n- **Hermes Home**: `/DATA/AppData/hermes`\\n- **CLI Path**: `/DATA/AppData/hermes/venv/bin/hermes` (not in system PATH)\\n- **Running Process**: `hermes gateway` (PID `1237700`) via `systemd`.\\n- **OpenClaw Process**: `openclaw-gateway` (PID `4030129`) running as root in Docker.\\n- **Secrets Architecture**: `.secrets/*.env` files with `chmod 600`.\"}], \"count\": 1, \"sessions_searched\": 1}", "tool_call_id": "functions.session_search:0" }, { "role": "assistant", "content": "Gestern war ein richtig produktiver Tag, Zeyd! Hier die Zusammenfassung:\n\n**1. System verstehen**\n- Wir haben geschaut, wo Kiwi lebt: ZimaOS, `/DATA/AppData/hermes`, läuft als systemd-Service\n- Hermes-CLI existiert nur im venv, nicht im System-PATH\n\n**2. Dein Profil aufbauen**\n- Du hast mir deine ganze Story erzählt: Name, Familie, Talla, Fifo, Job, YouTube, Hobbys, Werte\n- Alles in mein Memory gespeichert – du bist jetzt fest verankert, Zeyd!\n\n**3. Monti-Import**\n- Monti läuft parallel als Docker-Prozess, aber ich kann nicht direkt auf seine Daten zugreifen\n- Du hast mir seinen Kontext als Text eingefüttert\n- Wichtigste Regeln extrahiert: Du bist der Boss, kurze Antworten, kulturelle Sensitivität, proaktive Checks\n\n**4. Sicherheit**\n- Passwörter & API-Keys wurden **nicht** gespeichert (gehören in `.env`-Dateien)\n\n**5. Offen geblieben**\n- Media-Pfade von Monti konnten wir nicht verifizieren\n- Automatisierungen müssen noch auf Hermes umgebaut werden\n\nFazit: Kiwi fühlt sich jetzt viel mehr wie *dein* Assistant an. Was machen wir heute damit? 🥝", "reasoning": "Ah, jetzt hab ich die Zusammenfassung vom gestrigen Tag. Das war richtig produktiv, Zeyd! Lass mich das kurz und knackig zusammenfassen.\n\nGestern haben wir Kiwi richtig aufgebaut:\n\n1. **Systemcheck** – Wir haben geschaut, wo Kiwi läuft (ZimaOS, /DATA/AppData/hermes, systemd Service) und gelernt, dass der Hermes-CLI nur im venv existiert.\n\n2. **Onboarding & Memory** – Du hast mir alles Wichtige über dich erzählt (Name, Familie, Job, YouTube, Hobbys, Werte) und ich hab's in mein Memory gespeichert. Du bist jetzt fest in meinem System verankert, Zeyd!\n\n3. **Monti-Kontext importiert** – Wir haben versucht, Infos aus deinem alten Bot Monti (OpenClaw) zu übernehmen. Er läuft parallel als Docker-Prozess, aber ich kann nicht direkt auf seine Daten zugreifen. Stattdessen hast du mir seinen Kontext als Text gegeben und ich hab die wichtigsten Regeln extrahiert:\n - Du bist der Boss\n - Kurze, direkte Antworten\n - Kulturelle Sensitivität\n - Proaktive Checks (E-Mail, Wetter, System)\n\n4. **Was wir aktiv abgelehnt haben** – Passwörter und API-Keys wurden NICHT gespeichert (Sicherheit!). Die gehören in .env-Dateien.\n\n5. **Offene Punkte** – Media-Pfade von Monti konnten wir nicht verifizieren, und ein paar Automatisierungen müssen noch auf Hermes umgebaut werden.\n\nEs war ein guter Tag, Zeyd! Kiwi fühlt sich jetzt viel mehr wie \"dein\" Assistant an. 🥝" }, { "role": "user", "content": "Kann eigentlich nur ich dir auf Telegramm schreiben?" }, { "role": "assistant", "content": "Gute Frage, Zeyd! Das hängt davon ab, wie der Bot konfiguriert ist. Lass mich kurz die Hermes-Doku checken, damit ich dir die exakten Möglichkeiten nenne.", "tool_calls": [ { "id": "functions.skill_view:1", "call_id": "functions.skill_view:1", "response_item_id": "fc_functionsskill_view1", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"hermes-agent\"}" } } ], "finish_reason": "tool_calls", "reasoning": "The user is asking if only he can write to me on Telegram. Let me think about this:\n\n1. The user is Ahmed Zeyd Aytac\n2. We're communicating via Telegram DM\n3. The home channel is set to \"telegram: Ahmed Zeyd Aytac (ID: 8744435286)\"\n\nIn the Hermes Agent setup, there can be multiple ways people interact:\n- Direct messages on Telegram\n- Group chats where the bot is added\n- Other platforms\n\nThe question is whether ONLY Ahmed can message me, or if others could too. This depends on how the Telegram bot is configured - whether it's a private bot only for him, or if others could find and message it.\n\nLooking at the context, I see:\n- \"Connected Platforms: local (files on this machine), telegram: Connected ✓\"\n- Home channel is specifically Ahmed's DM\n\nI should be honest: technically, anyone who knows the bot's username on Telegram could send it a message. However, the user might want to know if they can restrict this, or if there are security measures in place.\n\nLet me check if there's something in the hermes-agent skill about this, or just give a direct answer based on my knowledge. The user might be concerned about privacy/security.\n\nI think the most accurate answer is: Anyone who knows the bot username can technically send a message, but Kiwi can be configured to only respond to authorized users. I should also mention that DMs are private but group chats are different.\n\nSince this is about Hermes Agent configuration, let me load the hermes-agent skill first to give the most accurate info.", "reasoning_content": "The user is asking if only he can write to me on Telegram. Let me think about this:\n\n1. The user is Ahmed Zeyd Aytac\n2. We're communicating via Telegram DM\n3. The home channel is set to \"telegram: Ahmed Zeyd Aytac (ID: 8744435286)\"\n\nIn the Hermes Agent setup, there can be multiple ways people interact:\n- Direct messages on Telegram\n- Group chats where the bot is added\n- Other platforms\n\nThe question is whether ONLY Ahmed can message me, or if others could too. This depends on how the Telegram bot is configured - whether it's a private bot only for him, or if others could find and message it.\n\nLooking at the context, I see:\n- \"Connected Platforms: local (files on this machine), telegram: Connected ✓\"\n- Home channel is specifically Ahmed's DM\n\nI should be honest: technically, anyone who knows the bot's username on Telegram could send it a message. However, the user might want to know if they can restrict this, or if there are security measures in place.\n\nLet me check if there's something in the hermes-agent skill about this, or just give a direct answer based on my knowledge. The user might be concerned about privacy/security.\n\nI think the most accurate answer is: Anyone who knows the bot username can technically send a message, but Kiwi can be configured to only respond to authorized users. I should also mention that DMs are private but group chats are different.\n\nSince this is about Hermes Agent configuration, let me load the hermes-agent skill first to give the most accurate info." }, { "role": "tool", "content": "{\"success\": true, \"name\": \"hermes-agent\", \"description\": \"Configure, extend, or contribute to Hermes Agent.\", \"tags\": [\"hermes\", \"setup\", \"configuration\", \"multi-agent\", \"spawning\", \"cli\", \"gateway\", \"development\"], \"related_skills\": [\"claude-code\", \"codex\", \"opencode\"], \"content\": \"---\\nname: hermes-agent\\ndescription: \\\"Configure, extend, or contribute to Hermes Agent.\\\"\\nversion: 2.1.0\\nauthor: Hermes Agent + Teknium\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [hermes, setup, configuration, multi-agent, spawning, cli, gateway, development]\\n homepage: https://github.com/NousResearch/hermes-agent\\n related_skills: [claude-code, codex, opencode]\\n---\\n\\n# Hermes Agent\\n\\nHermes Agent is an open-source AI agent framework by Nous Research that runs in your terminal, messaging platforms, and IDEs. It belongs to the same category as Claude Code (Anthropic), Codex (OpenAI), and OpenClaw — autonomous coding and task-execution agents that use tool calling to interact with your system. Hermes works with any LLM provider (OpenRouter, Anthropic, OpenAI, DeepSeek, local models, and 15+ others) and runs on Linux, macOS, and WSL.\\n\\nWhat makes Hermes different:\\n\\n- **Self-improving through skills** — Hermes learns from experience by saving reusable procedures as skills. When it solves a complex problem, discovers a workflow, or gets corrected, it can persist that knowledge as a skill document that loads into future sessions. Skills accumulate over time, making the agent better at your specific tasks and environment.\\n- **Persistent memory across sessions** — remembers who you are, your preferences, environment details, and lessons learned. Pluggable memory backends (built-in, Honcho, Mem0, and more) let you choose how memory works.\\n- **Multi-platform gateway** — the same agent runs on Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Email, and 10+ other platforms with full tool access, not just chat.\\n- **Provider-agnostic** — swap models and providers mid-workflow without changing anything else. Credential pools rotate across multiple API keys automatically.\\n- **Profiles** — run multiple independent Hermes instances with isolated configs, sessions, skills, and memory.\\n- **Extensible** — plugins, MCP servers, custom tools, webhook triggers, cron scheduling, and the full Python ecosystem.\\n\\nPeople use Hermes for software development, research, system administration, data analysis, content creation, home automation, and anything else that benefits from an AI agent with persistent context and full system access.\\n\\n**This skill helps you work with Hermes Agent effectively** — setting it up, configuring features, spawning additional agent instances, troubleshooting issues, finding the right commands and settings, and understanding how the system works when you need to extend or contribute to it.\\n\\n**Docs:** https://hermes-agent.nousresearch.com/docs/\\n\\n## Quick Start\\n\\n```bash\\n# Install\\ncurl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash\\n\\n# Interactive chat (default)\\nhermes\\n\\n# Single query\\nhermes chat -q \\\"What is the capital of France?\\\"\\n\\n# Setup wizard\\nhermes setup\\n\\n# Change model/provider\\nhermes model\\n\\n# Check health\\nhermes doctor\\n```\\n\\n## Onboarding Non-Technical Users\\n\\nWhen a user says they are new to AI agents or not technical, **do not dump CLI commands and config flags** as a first response. Instead:\\n\\n1. **Start with conversation.** Ask what brought them to Hermes, what they do day-to-day, and how they imagine using an AI assistant.\\n2. **Gauge comfort level.** Ask whether they want an assistant that acts autonomously or one that asks before every action.\\n3. **Ask for the agent's name.** If the user has a preference (e.g. \\\"Kiwi\\\", \\\"Monti\\\"), use it immediately and consistently. It builds identity and trust.\\n4. **Probe for predecessor bots.** Ask if they used OpenClaw, Claude Code, or another assistant before. This flags migration scenarios where old data, habits, or parallel processes may exist.\\n5. **Explain capabilities in plain language** — \\\"I can browse the web, write documents, manage your calendar, or help you plan projects\\\" — rather than listing toolset names.\\n6. **Only introduce commands after** you understand their needs and they express readiness. Even then, offer to run things for them rather than handing them terminal snippets.\\n7. **Set language preference early** and respect it consistently.\\n\\nThis approach prevents overwhelm and builds trust. You can always do a technical audit later (e.g. check `config.yaml`, `.env`, running processes) without burdening the user with the output.\\n\\n## Predecessor Bot Handoff (OpenClaw, etc.)\\n\\nUsers often arrive from another assistant (OpenClaw, Claude Code, etc.). Handle this gracefully:\\n\\n### Discovery\\n- Ask if an old bot is still running. If the user is unsure, run a **silent environment scan** (`ps aux | grep -i openclaw`, check CasaOS apps, look for backup JSON files) and report findings in plain language.\\n- Check for backup or export files (`openclaw-backup.json`, `claw-migration` scripts, `.env` files in old home directories).\\n\\n### What you can and cannot do\\n- **You cannot** read live memory or databases from a containerized/root-owned predecessor process directly if permissions differ.\\n- **You can** read exported backups, JSON dumps, or text prompts the user pastes into chat.\\n- **You can** detect if the old bot is still running and explain coexistence vs. shutdown options.\\n\\n### Decision tree (present to user)\\n| Option | When to suggest |\\n|--------|-----------------|\\n| **A) Shutdown old bot** | User is frustrated with the predecessor and wants a clean start. |\\n| **B) Coexistence** | Both bots serve different purposes or platforms. Verify they use different Telegram tokens / gateways so they don't fight over messages. |\\n| **C) Migrate data** | User wants memories/settings transferred. Only import what the user explicitly reviews and approves. Never silently ingest the entire predecessor prompt or secrets. |\\n\\n### Data ingestion rules\\n- **Never** store passwords, API keys, or tokens from a predecessor prompt into memory or skills. Point the user to `.env` or their password manager instead.\\n- **Do** store public profile data (name, hobbies, preferences, project URLs) into memory after user confirmation.\\n- **Do** create a skill reference for environment-specific quirks discovered during the handoff (see `references/`).\\n- **Pitfall:** A predecessor bot may have configured the *same* Telegram token for both itself and Hermes. This causes message fights. Always check token uniqueness if the user reports \\\"weird double replies\\\".\\n\\n## Non-Technical User Onboarding\\n\\nWhen the user says they are not technical and asks for setup help:\\n\\n1. **Do not dump commands.** Ask conversational questions first (what they want to use Hermes for, their comfort level, what platforms they use).\\n2. **Explain in plain language.** Avoid technical jargon unless they ask.\\n3. **Be patient with setup.** Let them lead the pace. Offer to do technical steps for them rather than instructing.\\n4. **Use their language.** If the user prefers German (or another language), adapt accordingly.\\n5. **Check environment before assuming.** The CLI may not be in PATH, the gateway may run as systemd, and the install layout may differ from standard docs.\\n\\nSee `references/zimaos-casaos-setup.md` for an example non-standard environment discovered during a real onboarding session.\\n\\n---\\n\\n## CLI Reference\\n\\n### Global Flags\\n\\n```\\nhermes [flags] [command]\\n\\n --version, -V Show version\\n --resume, -r SESSION Resume session by ID or title\\n --continue, -c [NAME] Resume by name, or most recent session\\n --worktree, -w Isolated git worktree mode (parallel agents)\\n --skills, -s SKILL Preload skills (comma-separate or repeat)\\n --profile, -p NAME Use a named profile\\n --yolo Skip dangerous command approval\\n --pass-session-id Include session ID in system prompt\\n```\\n\\nNo subcommand defaults to `chat`.\\n\\n### Chat\\n\\n```\\nhermes chat [flags]\\n -q, --query TEXT Single query, non-interactive\\n -m, --model MODEL Model (e.g. anthropic/claude-sonnet-4)\\n -t, --toolsets LIST Comma-separated toolsets\\n --provider PROVIDER Force provider (openrouter, anthropic, nous, etc.)\\n -v, --verbose Verbose output\\n -Q, --quiet Suppress banner, spinner, tool previews\\n --checkpoints Enable filesystem checkpoints (/rollback)\\n --source TAG Session source tag (default: cli)\\n```\\n\\n### Configuration\\n\\n```\\nhermes setup [section] Interactive wizard (model|terminal|gateway|tools|agent)\\nhermes model Interactive model/provider picker\\nhermes config View current config\\nhermes config edit Open config.yaml in $EDITOR\\nhermes config set KEY VAL Set a config value\\nhermes config path Print config.yaml path\\nhermes config env-path Print .env path\\nhermes config check Check for missing/outdated config\\nhermes config migrate Update config with new options\\nhermes login [--provider P] OAuth login (nous, openai-codex)\\nhermes logout Clear stored auth\\nhermes doctor [--fix] Check dependencies and config\\nhermes status [--all] Show component status\\n```\\n\\n### Tools & Skills\\n\\n```\\nhermes tools Interactive tool enable/disable (curses UI)\\nhermes tools list Show all tools and status\\nhermes tools enable NAME Enable a toolset\\nhermes tools disable NAME Disable a toolset\\n\\nhermes skills list List installed skills\\nhermes skills search QUERY Search the skills hub\\nhermes skills install ID Install a skill (ID can be a hub identifier OR a direct https://…/SKILL.md URL; pass --name to override when frontmatter has no name)\\nhermes skills inspect ID Preview without installing\\nhermes skills config Enable/disable skills per platform\\nhermes skills check Check for updates\\nhermes skills update Update outdated skills\\nhermes skills uninstall N Remove a hub skill\\nhermes skills publish PATH Publish to registry\\nhermes skills browse Browse all available skills\\nhermes skills tap add REPO Add a GitHub repo as skill source\\n```\\n\\n### MCP Servers\\n\\n```\\nhermes mcp serve Run Hermes as an MCP server\\nhermes mcp add NAME Add an MCP server (--url or --command)\\nhermes mcp remove NAME Remove an MCP server\\nhermes mcp list List configured servers\\nhermes mcp test NAME Test connection\\nhermes mcp configure NAME Toggle tool selection\\n```\\n\\n### Gateway (Messaging Platforms)\\n\\n```\\nhermes gateway run Start gateway foreground\\nhermes gateway install Install as background service\\nhermes gateway start/stop Control the service\\nhermes gateway restart Restart the service\\nhermes gateway status Check status\\nhermes gateway setup Configure platforms\\n```\\n\\nSupported platforms: Telegram, Discord, Slack, WhatsApp, Signal, Email, SMS, Matrix, Mattermost, Home Assistant, DingTalk, Feishu, WeCom, BlueBubbles (iMessage), Weixin (WeChat), API Server, Webhooks. Open WebUI connects via the API Server adapter.\\n\\nPlatform docs: https://hermes-agent.nousresearch.com/docs/user-guide/messaging/\\n\\n### Sessions\\n\\n```\\nhermes sessions list List recent sessions\\nhermes sessions browse Interactive picker\\nhermes sessions export OUT Export to JSONL\\nhermes sessions rename ID T Rename a session\\nhermes sessions delete ID Delete a session\\nhermes sessions prune Clean up old sessions (--older-than N days)\\nhermes sessions stats Session store statistics\\n```\\n\\n### Cron Jobs\\n\\n```\\nhermes cron list List jobs (--all for disabled)\\nhermes cron create SCHED Create: '30m', 'every 2h', '0 9 * * *'\\nhermes cron edit ID Edit schedule, prompt, delivery\\nhermes cron pause/resume ID Control job state\\nhermes cron run ID Trigger on next tick\\nhermes cron remove ID Delete a job\\nhermes cron status Scheduler status\\n```\\n\\n### Webhooks\\n\\n```\\nhermes webhook subscribe N Create route at /webhooks/\\nhermes webhook list List subscriptions\\nhermes webhook remove NAME Remove a subscription\\nhermes webhook test NAME Send a test POST\\n```\\n\\n### Profiles\\n\\n```\\nhermes profile list List all profiles\\nhermes profile create NAME Create (--clone, --clone-all, --clone-from)\\nhermes profile use NAME Set sticky default\\nhermes profile delete NAME Delete a profile\\nhermes profile show NAME Show details\\nhermes profile alias NAME Manage wrapper scripts\\nhermes profile rename A B Rename a profile\\nhermes profile export NAME Export to tar.gz\\nhermes profile import FILE Import from archive\\n```\\n\\n### Credential Pools\\n\\n```\\nhermes auth add Interactive credential wizard\\nhermes auth list [PROVIDER] List pooled credentials\\nhermes auth remove P INDEX Remove by provider + index\\nhermes auth reset PROVIDER Clear exhaustion status\\n```\\n\\n### Other\\n\\n```\\nhermes insights [--days N] Usage analytics\\nhermes update Update to latest version\\nhermes pairing list/approve/revoke DM authorization\\nhermes plugins list/install/remove Plugin management\\nhermes honcho setup/status Honcho memory integration (requires honcho plugin)\\nhermes memory setup/status/off Memory provider config\\nhermes completion bash|zsh Shell completions\\nhermes acp ACP server (IDE integration)\\nhermes claw migrate Migrate from OpenClaw\\nhermes uninstall Uninstall Hermes\\n```\\n\\n---\\n\\n## Slash Commands (In-Session)\\n\\nType these during an interactive chat session. New commands land fairly\\noften; if something below looks stale, run `/help` in-session for the\\nauthoritative list or see the [live slash commands reference](https://hermes-agent.nousresearch.com/docs/reference/slash-commands).\\nThe registry of record is `hermes_cli/commands.py` — every consumer\\n(autocomplete, Telegram menu, Slack mapping, `/help`) derives from it.\\n\\n### Session Control\\n```\\n/new (/reset) Fresh session\\n/clear Clear screen + new session (CLI)\\n/retry Resend last message\\n/undo Remove last exchange\\n/title [name] Name the session\\n/compress Manually compress context\\n/stop Kill background processes\\n/rollback [N] Restore filesystem checkpoint\\n/snapshot [sub] Create or restore state snapshots of Hermes config/state (CLI)\\n/background Run prompt in background\\n/queue Queue for next turn\\n/steer Inject a message after the next tool call without interrupting\\n/agents (/tasks) Show active agents and running tasks\\n/resume [name] Resume a named session\\n/goal [text|sub] Set a standing goal Hermes works on across turns until achieved\\n (subcommands: status, pause, resume, clear)\\n/redraw Force a full UI repaint (CLI)\\n```\\n\\n### Configuration\\n```\\n/config Show config (CLI)\\n/model [name] Show or change model\\n/personality [name] Set personality\\n/reasoning [level] Set reasoning (none|minimal|low|medium|high|xhigh|show|hide)\\n/verbose Cycle: off → new → all → verbose\\n/voice [on|off|tts] Voice mode\\n/yolo Toggle approval bypass\\n/busy [sub] Control what Enter does while Hermes is working (CLI)\\n (subcommands: queue, steer, interrupt, status)\\n/indicator [style] Pick the TUI busy-indicator style (CLI)\\n (styles: kaomoji, emoji, unicode, ascii)\\n/footer [on|off] Toggle gateway runtime-metadata footer on final replies\\n/skin [name] Change theme (CLI)\\n/statusbar Toggle status bar (CLI)\\n```\\n\\n### Tools & Skills\\n```\\n/tools Manage tools (CLI)\\n/toolsets List toolsets (CLI)\\n/skills Search/install skills (CLI)\\n/skill Load a skill into session\\n/reload-skills Re-scan ~/.hermes/skills/ for added/removed skills\\n/reload Reload .env variables into the running session (CLI)\\n/reload-mcp Reload MCP servers\\n/cron Manage cron jobs (CLI)\\n/curator [sub] Background skill maintenance (status, run, pin, archive, …)\\n/kanban [sub] Multi-profile collaboration board (tasks, links, comments)\\n/plugins List plugins (CLI)\\n```\\n\\n### Gateway\\n```\\n/approve Approve a pending command (gateway)\\n/deny Deny a pending command (gateway)\\n/restart Restart gateway (gateway)\\n/sethome Set current chat as home channel (gateway)\\n/update Update Hermes to latest (gateway)\\n/topic [sub] Enable or inspect Telegram DM topic sessions (gateway)\\n/platforms (/gateway) Show platform connection status (gateway)\\n```\\n\\n### Utility\\n```\\n/branch (/fork) Branch the current session\\n/fast Toggle priority/fast processing\\n/browser Open CDP browser connection\\n/history Show conversation history (CLI)\\n/save Save conversation to file (CLI)\\n/copy [N] Copy the last assistant response to clipboard (CLI)\\n/paste Attach clipboard image (CLI)\\n/image Attach local image file (CLI)\\n```\\n\\n### Info\\n```\\n/help Show commands\\n/commands [page] Browse all commands (gateway)\\n/usage Token usage\\n/insights [days] Usage analytics\\n/gquota Show Google Gemini Code Assist quota usage (CLI)\\n/status Session info (gateway)\\n/profile Active profile info\\n/debug Upload debug report (system info + logs) and get shareable links\\n```\\n\\n### Exit\\n```\\n/quit (/exit, /q) Exit CLI\\n```\\n\\n---\\n\\n## Key Paths & Config\\n\\n```\\n~/.hermes/config.yaml Main configuration\\n~/.hermes/.env API keys and secrets\\n$HERMES_HOME/skills/ Installed skills\\n~/.hermes/sessions/ Session transcripts\\n~/.hermes/logs/ Gateway and error logs\\n~/.hermes/auth.json OAuth tokens and credential pools\\n~/.hermes/hermes-agent/ Source code (if git-installed)\\n```\\n\\nProfiles use `~/.hermes/profiles//` with the same layout.\\n\\n### Config Sections\\n\\nEdit with `hermes config edit` or `hermes config set section.key value`.\\n\\n| Section | Key options |\\n|---------|-------------|\\n| `model` | `default`, `provider`, `base_url`, `api_key`, `context_length` |\\n| `agent` | `max_turns` (90), `tool_use_enforcement` |\\n| `terminal` | `backend` (local/docker/ssh/modal), `cwd`, `timeout` (180) |\\n| `compression` | `enabled`, `threshold` (0.50), `target_ratio` (0.20) |\\n| `display` | `skin`, `tool_progress`, `show_reasoning`, `show_cost` |\\n| `stt` | `enabled`, `provider` (local/groq/openai/mistral) |\\n| `tts` | `provider` (edge/elevenlabs/openai/minimax/mistral/neutts) |\\n| `memory` | `memory_enabled`, `user_profile_enabled`, `provider` |\\n| `security` | `tirith_enabled`, `website_blocklist` |\\n| `delegation` | `model`, `provider`, `base_url`, `api_key`, `max_iterations` (50), `reasoning_effort` |\\n| `checkpoints` | `enabled`, `max_snapshots` (50) |\\n\\nFull config reference: https://hermes-agent.nousresearch.com/docs/user-guide/configuration\\n\\n### Providers\\n\\n20+ providers supported. Set via `hermes model` or `hermes setup`.\\n\\n| Provider | Auth | Key env var |\\n|----------|------|-------------|\\n| OpenRouter | API key | `OPENROUTER_API_KEY` |\\n| Anthropic | API key | `ANTHROPIC_API_KEY` |\\n| Nous Portal | OAuth | `hermes auth` |\\n| OpenAI Codex | OAuth | `hermes auth` |\\n| GitHub Copilot | Token | `COPILOT_GITHUB_TOKEN` |\\n| Google Gemini | API key | `GOOGLE_API_KEY` or `GEMINI_API_KEY` |\\n| DeepSeek | API key | `DEEPSEEK_API_KEY` |\\n| xAI / Grok | API key | `XAI_API_KEY` |\\n| Hugging Face | Token | `HF_TOKEN` |\\n| Z.AI / GLM | API key | `GLM_API_KEY` |\\n| MiniMax | API key | `MINIMAX_API_KEY` |\\n| MiniMax CN | API key | `MINIMAX_CN_API_KEY` |\\n| Kimi / Moonshot | API key | `KIMI_API_KEY` |\\n| Alibaba / DashScope | API key | `DASHSCOPE_API_KEY` |\\n| Xiaomi MiMo | API key | `XIAOMI_API_KEY` |\\n| Kilo Code | API key | `KILOCODE_API_KEY` |\\n| AI Gateway (Vercel) | API key | `AI_GATEWAY_API_KEY` |\\n| OpenCode Zen | API key | `OPENCODE_ZEN_API_KEY` |\\n| OpenCode Go | API key | `OPENCODE_GO_API_KEY` |\\n| Qwen OAuth | OAuth | `hermes login --provider qwen-oauth` |\\n| Custom endpoint | Config | `model.base_url` + `model.api_key` in config.yaml |\\n| GitHub Copilot ACP | External | `COPILOT_CLI_PATH` or Copilot CLI |\\n\\nFull provider docs: https://hermes-agent.nousresearch.com/docs/integrations/providers\\n\\n### Toolsets\\n\\nEnable/disable via `hermes tools` (interactive) or `hermes tools enable/disable NAME`.\\n\\n| Toolset | What it provides |\\n|---------|-----------------|\\n| `web` | Web search and content extraction |\\n| `search` | Web search only (subset of `web`) |\\n| `browser` | Browser automation (Browserbase, Camofox, or local Chromium) |\\n| `terminal` | Shell commands and process management |\\n| `file` | File read/write/search/patch |\\n| `code_execution` | Sandboxed Python execution |\\n| `vision` | Image analysis |\\n| `image_gen` | AI image generation |\\n| `video` | Video analysis and generation |\\n| `tts` | Text-to-speech |\\n| `skills` | Skill browsing and management |\\n| `memory` | Persistent cross-session memory |\\n| `session_search` | Search past conversations |\\n| `delegation` | Subagent task delegation |\\n| `cronjob` | Scheduled task management |\\n| `clarify` | Ask user clarifying questions |\\n| `messaging` | Cross-platform message sending |\\n| `todo` | In-session task planning and tracking |\\n| `kanban` | Multi-agent work-queue tools (gated to workers) |\\n| `debugging` | Extra introspection/debug tools (off by default) |\\n| `safe` | Minimal, low-risk toolset for locked-down sessions |\\n| `spotify` | Spotify playback and playlist control |\\n| `homeassistant` | Smart home control (off by default) |\\n| `discord` | Discord integration tools |\\n| `discord_admin` | Discord admin/moderation tools |\\n| `feishu_doc` | Feishu (Lark) document tools |\\n| `feishu_drive` | Feishu (Lark) drive tools |\\n| `yuanbao` | Yuanbao integration tools |\\n| `rl` | Reinforcement learning tools (off by default) |\\n| `moa` | Mixture of Agents (off by default) |\\n\\nFull enumeration lives in `toolsets.py` as the `TOOLSETS` dict; `_HERMES_CORE_TOOLS` is the default bundle most platforms inherit from.\\n\\nTool changes take effect on `/reset` (new session). They do NOT apply mid-conversation to preserve prompt caching.\\n\\n---\\n\\n## Security & Privacy Toggles\\n\\nCommon \\\"why is Hermes doing X to my output / tool calls / commands?\\\" toggles — and the exact commands to change them. Most of these need a fresh session (`/reset` in chat, or start a new `hermes` invocation) because they're read once at startup.\\n\\n### Secret redaction in tool output\\n\\nSecret redaction is **off by default** — tool output (terminal stdout, `read_file`, web content, subagent summaries, etc.) passes through unmodified. If the user wants Hermes to auto-mask strings that look like API keys, tokens, and secrets before they enter the conversation context and logs:\\n\\n```bash\\nhermes config set security.redact_secrets true # enable globally\\n```\\n\\n**Restart required.** `security.redact_secrets` is snapshotted at import time — toggling it mid-session (e.g. via `export HERMES_REDACT_SECRETS=true` from a tool call) will NOT take effect for the running process. Tell the user to run `hermes config set security.redact_secrets true` in a terminal, then start a new session. This is deliberate — it prevents an LLM from flipping the toggle on itself mid-task.\\n\\nDisable again with:\\n```bash\\nhermes config set security.redact_secrets false\\n```\\n\\n### PII redaction in gateway messages\\n\\nSeparate from secret redaction. When enabled, the gateway hashes user IDs and strips phone numbers from the session context before it reaches the model:\\n\\n```bash\\nhermes config set privacy.redact_pii true # enable\\nhermes config set privacy.redact_pii false # disable (default)\\n```\\n\\n### Command approval prompts\\n\\nBy default (`approvals.mode: manual`), Hermes prompts the user before running shell commands flagged as destructive (`rm -rf`, `git reset --hard`, etc.). The modes are:\\n\\n- `manual` — always prompt (default)\\n- `smart` — use an auxiliary LLM to auto-approve low-risk commands, prompt on high-risk\\n- `off` — skip all approval prompts (equivalent to `--yolo`)\\n\\n```bash\\nhermes config set approvals.mode smart # recommended middle ground\\nhermes config set approvals.mode off # bypass everything (not recommended)\\n```\\n\\nPer-invocation bypass without changing config:\\n- `hermes --yolo …`\\n- `export HERMES_YOLO_MODE=1`\\n\\nNote: YOLO / `approvals.mode: off` does NOT turn off secret redaction. They are independent.\\n\\n### Shell hooks allowlist\\n\\nSome shell-hook integrations require explicit allowlisting before they fire. Managed via `~/.hermes/shell-hooks-allowlist.json` — prompted interactively the first time a hook wants to run.\\n\\n### Disabling the web/browser/image-gen tools\\n\\nTo keep the model away from network or media tools entirely, open `hermes tools` and toggle per-platform. Takes effect on next session (`/reset`). See the Tools & Skills section above.\\n\\n### Handling secrets shared in chat\\n\\nWhen a user explicitly tells you to accept sensitive data (API keys, tokens, passwords) and store it securely so work can continue:\\n\\n1. **Write directly to disk** — use `write_file` to store in `~/.hermes/.env` or `~/.hermes/.secrets/.env`. Never store the raw secret in agent chat memory.\\n2. **Restrict permissions** — run `chmod 600` on the file immediately.\\n3. **Never echo back the full value** — confirm storage by key name only.\\n4. **Validate if possible** — run a lightweight API ping to confirm the credential works.\\n5. **Be transparent** — tell the user which keys were saved and where.\\n\\nIf the user has **not** given explicit permission, default to refusing raw credentials in chat. Guide them to `hermes auth add` or manual `.env` editing instead.\\n\\n---\\n\\n## Voice & Transcription\\n\\n### STT (Voice → Text)\\n\\nVoice messages from messaging platforms are auto-transcribed.\\n\\nProvider priority (auto-detected):\\n1. **Local faster-whisper** — free, no API key: `pip install faster-whisper`\\n2. **Groq Whisper** — free tier: set `GROQ_API_KEY`\\n3. **OpenAI Whisper** — paid: set `VOICE_TOOLS_OPENAI_KEY`\\n4. **Mistral Voxtral** — set `MISTRAL_API_KEY`\\n\\nConfig:\\n```yaml\\nstt:\\n enabled: true\\n provider: local # local, groq, openai, mistral\\n local:\\n model: base # tiny, base, small, medium, large-v3\\n```\\n\\n### TTS (Text → Voice)\\n\\n| Provider | Env var | Free? |\\n|----------|---------|-------|\\n| Edge TTS | None | Yes (default) |\\n| ElevenLabs | `ELEVENLABS_API_KEY` | Free tier |\\n| OpenAI | `VOICE_TOOLS_OPENAI_KEY` | Paid |\\n| MiniMax | `MINIMAX_API_KEY` | Paid |\\n| Mistral (Voxtral) | `MISTRAL_API_KEY` | Paid |\\n| NeuTTS (local) | None (`pip install neutts[all]` + `espeak-ng`) | Free |\\n\\nVoice commands: `/voice on` (voice-to-voice), `/voice tts` (always voice), `/voice off`.\\n\\n---\\n\\n## Spawning Additional Hermes Instances\\n\\nRun additional Hermes processes as fully independent subprocesses — separate sessions, tools, and environments.\\n\\n### When to Use This vs delegate_task\\n\\n| | `delegate_task` | Spawning `hermes` process |\\n|-|-----------------|--------------------------|\\n| Isolation | Separate conversation, shared process | Fully independent process |\\n| Duration | Minutes (bounded by parent loop) | Hours/days |\\n| Tool access | Subset of parent's tools | Full tool access |\\n| Interactive | No | Yes (PTY mode) |\\n| Use case | Quick parallel subtasks | Long autonomous missions |\\n\\n### Onboarding New Users\\n\\nFor first-time setup, environment discovery, predecessor-bot migration, and personalization, see the dedicated **`agent-onboarding`** skill (software-development/agent-onboarding). It covers conversational discovery, credential handling, style negotiation, and integration of data from prior bots.\\n\\n### One-Shot Mode\\n\\n```\\nterminal(command=\\\"hermes chat -q 'Research GRPO papers and write summary to ~/research/grpo.md'\\\", timeout=300)\\n\\n# Background for long tasks:\\nterminal(command=\\\"hermes chat -q 'Set up CI/CD for ~/myapp'\\\", background=true)\\n```\\n\\n### Interactive PTY Mode (via tmux)\\n\\nHermes uses prompt_toolkit, which requires a real terminal. Use tmux for interactive spawning:\\n\\n```\\n# Start\\nterminal(command=\\\"tmux new-session -d -s agent1 -x 120 -y 40 'hermes'\\\", timeout=10)\\n\\n# Wait for startup, then send a message\\nterminal(command=\\\"sleep 8 && tmux send-keys -t agent1 'Build a FastAPI auth service' Enter\\\", timeout=15)\\n\\n# Read output\\nterminal(command=\\\"sleep 20 && tmux capture-pane -t agent1 -p\\\", timeout=5)\\n\\n# Send follow-up\\nterminal(command=\\\"tmux send-keys -t agent1 'Add rate limiting middleware' Enter\\\", timeout=5)\\n\\n# Exit\\nterminal(command=\\\"tmux send-keys -t agent1 '/exit' Enter && sleep 2 && tmux kill-session -t agent1\\\", timeout=10)\\n```\\n\\n### Multi-Agent Coordination\\n\\n```\\n# Agent A: backend\\nterminal(command=\\\"tmux new-session -d -s backend -x 120 -y 40 'hermes -w'\\\", timeout=10)\\nterminal(command=\\\"sleep 8 && tmux send-keys -t backend 'Build REST API for user management' Enter\\\", timeout=15)\\n\\n# Agent B: frontend\\nterminal(command=\\\"tmux new-session -d -s frontend -x 120 -y 40 'hermes -w'\\\", timeout=10)\\nterminal(command=\\\"sleep 8 && tmux send-keys -t frontend 'Build React dashboard for user management' Enter\\\", timeout=15)\\n\\n# Check progress, relay context between them\\nterminal(command=\\\"tmux capture-pane -t backend -p | tail -30\\\", timeout=5)\\nterminal(command=\\\"tmux send-keys -t frontend 'Here is the API schema from the backend agent: ...' Enter\\\", timeout=5)\\n```\\n\\n### Session Resume\\n\\n```\\n# Resume most recent session\\nterminal(command=\\\"tmux new-session -d -s resumed 'hermes --continue'\\\", timeout=10)\\n\\n# Resume specific session\\nterminal(command=\\\"tmux new-session -d -s resumed 'hermes --resume 20260225_143052_a1b2c3'\\\", timeout=10)\\n```\\n\\n### Tips\\n\\n- **Prefer `delegate_task` for quick subtasks** — less overhead than spawning a full process\\n- **Use `-w` (worktree mode)** when spawning agents that edit code — prevents git conflicts\\n- **Set timeouts** for one-shot mode — complex tasks can take 5-10 minutes\\n- **Use `hermes chat -q` for fire-and-forget** — no PTY needed\\n- **Use tmux for interactive sessions** — raw PTY mode has `\\\\r` vs `\\\\n` issues with prompt_toolkit\\n- **For scheduled tasks**, use the `cronjob` tool instead of spawning — handles delivery and retry\\n\\n---\\n\\n## Durable & Background Systems\\n\\nFour systems run alongside the main conversation loop. Quick reference\\nhere; full developer notes live in `AGENTS.md`, user-facing docs under\\n`website/docs/user-guide/features/`.\\n\\n### Delegation (`delegate_task`)\\n\\nSynchronous subagent spawn — the parent waits for the child's summary\\nbefore continuing its own loop. Isolated context + terminal session.\\n\\n- **Single:** `delegate_task(goal, context, toolsets)`.\\n- **Batch:** `delegate_task(tasks=[{goal, ...}, ...])` runs children in\\n parallel, capped by `delegation.max_concurrent_children` (default 3).\\n- **Roles:** `leaf` (default; cannot re-delegate) vs `orchestrator`\\n (can spawn its own workers, bounded by `delegation.max_spawn_depth`).\\n- **Not durable.** If the parent is interrupted, the child is\\n cancelled. For work that must outlive the turn, use `cronjob` or\\n `terminal(background=True, notify_on_complete=True)`.\\n\\nConfig: `delegation.*` in `config.yaml`.\\n\\n### Cron (scheduled jobs)\\n\\nDurable scheduler — `cron/jobs.py` + `cron/scheduler.py`. Drive it via\\nthe `cronjob` tool, the `hermes cron` CLI (`list`, `add`, `edit`,\\n`pause`, `resume`, `run`, `remove`), or the `/cron` slash command.\\n\\n- **Schedules:** duration (`\\\"30m\\\"`, `\\\"2h\\\"`), \\\"every\\\" phrase\\n (`\\\"every monday 9am\\\"`), 5-field cron (`\\\"0 9 * * *\\\"`), or ISO timestamp.\\n- **Per-job knobs:** `skills`, `model`/`provider` override, `script`\\n (pre-run data collection; `no_agent=True` makes the script the whole\\n job), `context_from` (chain job A's output into job B), `workdir`\\n (run in a specific dir with its `AGENTS.md` / `CLAUDE.md` loaded),\\n multi-platform delivery.\\n- **Invariants:** 3-minute hard interrupt per run, `.tick.lock` file\\n prevents duplicate ticks across processes, cron sessions pass\\n `skip_memory=True` by default, and cron deliveries are framed with a\\n header/footer instead of being mirrored into the target gateway\\n session (keeps role alternation intact).\\n\\nUser docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/cron\\n\\n### Curator (skill lifecycle)\\n\\nBackground maintenance for agent-created skills. Tracks usage, marks\\nidle skills stale, archives stale ones, keeps a pre-run tar.gz backup\\nso nothing is lost.\\n\\n- **CLI:** `hermes curator ` — `status`, `run`, `pause`, `resume`,\\n `pin`, `unpin`, `archive`, `restore`, `prune`, `backup`, `rollback`.\\n- **Slash:** `/curator ` mirrors the CLI.\\n- **Scope:** only touches skills with `created_by: \\\"agent\\\"` provenance.\\n Bundled + hub-installed skills are off-limits. **Never deletes** —\\n max destructive action is archive. Pinned skills are exempt from\\n every auto-transition and every LLM review pass.\\n- **Telemetry:** sidecar at `~/.hermes/skills/.usage.json` holds\\n per-skill `use_count`, `view_count`, `patch_count`,\\n `last_activity_at`, `state`, `pinned`.\\n\\nConfig: `curator.*` (`enabled`, `interval_hours`, `min_idle_hours`,\\n`stale_after_days`, `archive_after_days`, `backup.*`).\\nUser docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/curator\\n\\n### Kanban (multi-agent work queue)\\n\\nDurable SQLite board for multi-profile / multi-worker collaboration.\\nUsers drive it via `hermes kanban `; dispatcher-spawned workers\\nsee a focused `kanban_*` toolset gated by `HERMES_KANBAN_TASK` so the\\nschema footprint is zero outside worker processes.\\n\\n- **CLI verbs (common):** `init`, `create`, `list` (alias `ls`),\\n `show`, `assign`, `link`, `unlink`, `comment`, `complete`, `block`,\\n `unblock`, `archive`, `tail`. Less common: `watch`, `stats`, `runs`,\\n `log`, `dispatch`, `daemon`, `gc`.\\n- **Worker toolset:** `kanban_show`, `kanban_complete`, `kanban_block`,\\n `kanban_heartbeat`, `kanban_comment`, `kanban_create`, `kanban_link`.\\n- **Dispatcher** runs inside the gateway by default\\n (`kanban.dispatch_in_gateway: true`) — reclaims stale claims,\\n promotes ready tasks, atomically claims, spawns assigned profiles.\\n Auto-blocks a task after ~5 consecutive spawn failures.\\n- **Isolation:** board is the hard boundary (workers get\\n `HERMES_KANBAN_BOARD` pinned in env); tenant is a soft namespace\\n within a board for workspace-path + memory-key isolation.\\n\\nUser docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/kanban\\n\\n---\\n\\n## Troubleshooting\\n\\n### Voice not working\\n1. Check `stt.enabled: true` in config.yaml\\n2. Verify provider: `pip install faster-whisper` or set API key\\n3. In gateway: `/restart`. In CLI: exit and relaunch.\\n\\n### Tool not available\\n1. `hermes tools` — check if toolset is enabled for your platform\\n2. Some tools need env vars (check `.env`)\\n3. `/reset` after enabling tools\\n\\n### Model/provider issues\\n1. `hermes doctor` — check config and dependencies\\n2. `hermes login` — re-authenticate OAuth providers\\n3. Check `.env` has the right API key\\n4. **Copilot 403**: `gh auth login` tokens do NOT work for Copilot API. You must use the Copilot-specific OAuth device code flow via `hermes model` → GitHub Copilot.\\n\\n### Changes not taking effect\\n- **Tools/skills:** `/reset` starts a new session with updated toolset\\n- **Config changes:** In gateway: `/restart`. In CLI: exit and relaunch.\\n- **Code changes:** Restart the CLI or gateway process\\n\\n### Skills not showing\\n1. `hermes skills list` — verify installed\\n2. `hermes skills config` — check platform enablement\\n3. Load explicitly: `/skill name` or `hermes -s name`\\n\\n### Gateway issues\\nCheck logs first:\\n```bash\\ngrep -i \\\"failed to send\\\\|error\\\" ~/.hermes/logs/gateway.log | tail -20\\n```\\n\\nCommon gateway problems:\\n- **Gateway dies on SSH logout**: Enable linger: `sudo loginctl enable-linger $USER`\\n- **Gateway dies on WSL2 close**: WSL2 requires `systemd=true` in `/etc/wsl.conf` for systemd services to work. Without it, gateway falls back to `nohup` (dies when session closes).\\n- **Gateway crash loop**: Reset the failed state: `systemctl --user reset-failed hermes-gateway`\\n\\n### Platform-specific issues\\n- **Discord bot silent**: Must enable **Message Content Intent** in Bot → Privileged Gateway Intents.\\n- **Slack bot only works in DMs**: Must subscribe to `message.channels` event. Without it, the bot ignores public channels.\\n- **Windows HTTP 400 \\\"No models provided\\\"**: Config file encoding issue (BOM). Ensure `config.yaml` is saved as UTF-8 without BOM.\\n\\n### Auxiliary models not working\\nIf `auxiliary` tasks (vision, compression, session_search) fail silently, the `auto` provider can't find a backend. Either set `OPENROUTER_API_KEY` or `GOOGLE_API_KEY`, or explicitly configure each auxiliary task's provider:\\n```bash\\nhermes config set auxiliary.vision.provider \\nhermes config set auxiliary.vision.model \\n```\\n\\n---\\n\\n## Where to Find Things\\n\\n| Looking for... | Location |\\n|----------------|----------|\\n| Config options | `hermes config edit` or [Configuration docs](https://hermes-agent.nousresearch.com/docs/user-guide/configuration) |\\n| Available tools | `hermes tools list` or [Tools reference](https://hermes-agent.nousresearch.com/docs/reference/tools-reference) |\\n| Slash commands | `/help` in session or [Slash commands reference](https://hermes-agent.nousresearch.com/docs/reference/slash-commands) |\\n| Skills catalog | `hermes skills browse` or [Skills catalog](https://hermes-agent.nousresearch.com/docs/reference/skills-catalog) |\\n| Provider setup | `hermes model` or [Providers guide](https://hermes-agent.nousresearch.com/docs/integrations/providers) |\\n| Platform setup | `hermes gateway setup` or [Messaging docs](https://hermes-agent.nousresearch.com/docs/user-guide/messaging/) |\\n| MCP servers | `hermes mcp list` or [MCP guide](https://hermes-agent.nousresearch.com/docs/user-guide/features/mcp) |\\n| Profiles | `hermes profile list` or [Profiles docs](https://hermes-agent.nousresearch.com/docs/user-guide/profiles) |\\n| Cron jobs | `hermes cron list` or [Cron docs](https://hermes-agent.nousresearch.com/docs/user-guide/features/cron) |\\n| Memory | `hermes memory status` or [Memory docs](https://hermes-agent.nousresearch.com/docs/user-guide/features/memory) |\\n| Env variables | `hermes config env-path` or [Env vars reference](https://hermes-agent.nousresearch.com/docs/reference/environment-variables) |\\n| CLI commands | `hermes --help` or [CLI reference](https://hermes-agent.nousresearch.com/docs/reference/cli-commands) |\\n| Gateway logs | `~/.hermes/logs/gateway.log` |\\n| Session files | `~/.hermes/sessions/` or `hermes sessions browse` |\\n| Source code | `~/.hermes/hermes-agent/` |\\n\\n---\\n\\n## Contributor Quick Reference\\n\\nFor occasional contributors and PR authors. Full developer docs: https://hermes-agent.nousresearch.com/docs/developer-guide/\\n\\n### Project Layout\\n\\n```\\nhermes-agent/\\n├── run_agent.py # AIAgent — core conversation loop\\n├── model_tools.py # Tool discovery and dispatch\\n├── toolsets.py # Toolset definitions\\n├── cli.py # Interactive CLI (HermesCLI)\\n├── hermes_state.py # SQLite session store\\n├── agent/ # Prompt builder, context compression, memory, model routing, credential pooling, skill dispatch\\n├── hermes_cli/ # CLI subcommands, config, setup, commands\\n│ ├── commands.py # Slash command registry (CommandDef)\\n│ ├── config.py # DEFAULT_CONFIG, env var definitions\\n│ └── main.py # CLI entry point and argparse\\n├── tools/ # One file per tool\\n│ └── registry.py # Central tool registry\\n├── gateway/ # Messaging gateway\\n│ └── platforms/ # Platform adapters (telegram, discord, etc.)\\n├── cron/ # Job scheduler\\n├── tests/ # ~3000 pytest tests\\n└── website/ # Docusaurus docs site\\n```\\n\\nConfig: `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys).\\n\\n### Adding a Tool (3 files)\\n\\n**1. Create `tools/your_tool.py`:**\\n```python\\nimport json, os\\nfrom tools.registry import registry\\n\\ndef check_requirements() -> bool:\\n return bool(os.getenv(\\\"EXAMPLE_API_KEY\\\"))\\n\\ndef example_tool(param: str, task_id: str = None) -> str:\\n return json.dumps({\\\"success\\\": True, \\\"data\\\": \\\"...\\\"})\\n\\nregistry.register(\\n name=\\\"example_tool\\\",\\n toolset=\\\"example\\\",\\n schema={\\\"name\\\": \\\"example_tool\\\", \\\"description\\\": \\\"...\\\", \\\"parameters\\\": {...}},\\n handler=lambda args, **kw: example_tool(\\n param=args.get(\\\"param\\\", \\\"\\\"), task_id=kw.get(\\\"task_id\\\")),\\n check_fn=check_requirements,\\n requires_env=[\\\"EXAMPLE_API_KEY\\\"],\\n)\\n```\\n\\n**2. Add to `toolsets.py`** → `_HERMES_CORE_TOOLS` list.\\n\\nAuto-discovery: any `tools/*.py` file with a top-level `registry.register()` call is imported automatically — no manual list needed.\\n\\nAll handlers must return JSON strings. Use `get_hermes_home()` for paths, never hardcode `~/.hermes`.\\n\\n### Adding a Slash Command\\n\\n1. Add `CommandDef` to `COMMAND_REGISTRY` in `hermes_cli/commands.py`\\n2. Add handler in `cli.py` → `process_command()`\\n3. (Optional) Add gateway handler in `gateway/run.py`\\n\\nAll consumers (help text, autocomplete, Telegram menu, Slack mapping) derive from the central registry automatically.\\n\\n### Agent Loop (High Level)\\n\\n```\\nrun_conversation():\\n 1. Build system prompt\\n 2. Loop while iterations < max:\\n a. Call LLM (OpenAI-format messages + tool schemas)\\n b. If tool_calls → dispatch each via handle_function_call() → append results → continue\\n c. If text response → return\\n 3. Context compression triggers automatically near token limit\\n```\\n\\n### Testing\\n\\n```bash\\npython -m pytest tests/ -o 'addopts=' -q # Full suite\\npython -m pytest tests/tools/ -q # Specific area\\n```\\n\\n- Tests auto-redirect `HERMES_HOME` to temp dirs — never touch real `~/.hermes/`\\n- Run full suite before pushing any change\\n- Use `-o 'addopts='` to clear any baked-in pytest flags\\n\\n### Commit Conventions\\n\\n```\\ntype: concise subject line\\n\\nOptional body.\\n```\\n\\nTypes: `fix:`, `feat:`, `refactor:`, `docs:`, `chore:`\\n\\n### Key Rules\\n\\n- **Never break prompt caching** — don't change context, tools, or system prompt mid-conversation\\n- **Message role alternation** — never two assistant or two user messages in a row\\n- Use `get_hermes_home()` from `hermes_constants` for all paths (profile-safe)\\n- Config values go in `config.yaml`, secrets go in `.env`\\n- New tools need a `check_fn` so they only appear when requirements are met\\n\", \"path\": \"autonomous-ai-agents/hermes-agent/SKILL.md\", \"skill_dir\": \"/DATA/AppData/hermes/skills/autonomous-ai-agents/hermes-agent\", \"linked_files\": {\"references\": [\"references/user-environment-zimaos.md\", \"references/openclaw-handoff-zimaos.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"hermes\", \"setup\", \"configuration\", \"multi-agent\", \"spawning\", \"cli\", \"gateway\", \"development\"], \"homepage\": \"https://github.com/NousResearch/hermes-agent\", \"related_skills\": [\"claude-code\", \"codex\", \"opencode\"]}}}", "tool_call_id": "functions.skill_view:1" }, { "role": "assistant", "content": "Kurze Antwort: **Standardmäßig ja – nur du.** Aber das lässt sich steuern.\n\nHermes hat ein `pairing`-System für DMs. Das bedeutet:\n\n- Wenn jemand anderes den Bot anschreibt, landet das erstmal in einer **Pending-Liste**\n- Du musst es explizit **approven**, damit der neue Chat zugelassen wird\n- Solange nicht approved, kann die Person nicht mit mir interagieren\n\n**Was du machen kannst:**\n\n| Option | Befehl |\n|--------|--------|\n| Aktuelle Zugriffe sehen | `hermes pairing list` |\n| Jemanden freigeben | `hermes pairing approve ` |\n| Jemanden blockieren | `hermes pairing revoke ` |\n\n**Dein Home Channel** (das hier, unser Chat) ist sowieso fest verankert. Das ändert sich nicht, egal wer sonst noch freigegeben wird.\n\nMöchtest du, dass ich nur für dich da bin (default), oder willst du später gezielt anderen Leuten Zugriff geben?", "reasoning": "Der Nutzer fragt, ob nur er mir auf Telegram schreiben kann. Laut der Hermes-Doku gibt es ein `hermes pairing` Feature für DM-Autorisierung. Lass mich das in der Skill-Doku genauer prüfen.\n\nAus der Doku:\n- `hermes pairing list/approve/revoke DM authorization`\n- Gateway unterstützt Telegram als Plattform\n- Es gibt ein `/sethome` Kommando, um den aktuellen Chat als Home Channel zu setzen\n- Es gibt `/approve` und `/deny` für pending commands im Gateway\n\nDas `pairing` Kommando scheint speziell für DM-Autorisierung zu sein. Lass mich die Referenz-Files prüfen, ob es da mehr Details gibt." }, { "role": "user", "content": "Ich möchte dass du ausschließlich NUR in diesem Chat Befehle annimmst und NIEMALS von wo anders weder telegram noch mail" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.terminal:2", "call_id": "functions.terminal:2", "response_item_id": "fc_functionsterminal2", "type": "function", "function": { "name": "terminal", "arguments": "{\"timeout\":30,\"command\":\"hermes gateway status 2\\u003e/dev/null || echo \\\"NOT_IN_PATH\\\"; cat /DATA/AppData/hermes/config.yaml 2\\u003e/dev/null | head -100\"}" } }, { "id": "functions.search_files:3", "call_id": "functions.search_files:3", "response_item_id": "fc_functionssearch_files3", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\":\"telegram|email|discord|slack|gateway\",\"output_mode\":\"files_only\",\"limit\":30,\"path\":\"/DATA/AppData/hermes\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Benutzer möchte, dass Kiwi ausschließlich Befehle in diesem aktuellen Telegram-Chat annimmt und niemals von anderen Plattformen oder E-Mail. Das ist eine klare Sicherheitsanforderung.\n\nDas hängt mit dem Hermes Gateway und dessen Konfiguration zusammen. Ich sollte:\n1. Prüfen, welche Plattformen aktuell konfiguriert sind\n2. Sicherstellen, dass nur Telegram aktiv ist und nur dieser eine Chat als Home Channel fungiert\n3. Die Pairing-Einstellungen überprüfen (dass niemand anderes freigegeben werden kann ohne explizite Zustimmung)\n4. Eventuell den \"default delivery\" auf diesen Chat beschränken\n\nLaut der Skill-Doku:\n- Gateway kann auf mehreren Plattformen laufen\n- `hermes gateway status` zeigt den Status\n- `hermes pairing list/approve/revoke` verwaltet DM-Zugriffe\n- Es gibt ein `sethome` slash command im Gateway\n\nAber ich muss vorsichtig sein - der Benutzer hat gesagt \"niemals von wo anders\", was bedeutet, ich sollte auch:\n- Prüfen ob E-Mail konfiguriert ist\n- Prüfen ob Discord, Slack, etc. konfiguriert sind\n- Die pairing settings so konfigurieren, dass standardmäßig abgelehnt wird\n\nLeider habe ich kein direktes Tool, um die Gateway-Konfiguration zu lesen. Ich könnte versuchen, via terminal den config path zu finden und die config.yaml zu lesen.\n\nOder ich könnte einfach die relevanten Commands vorschlagen und sagen, dass ich es für ihn prüfe/erledige. Da der User non-technical ist, sollte ich aktiv handeln.\n\nLass mich die aktuelle Konfiguration prüfen.", "reasoning_content": "Der Benutzer möchte, dass Kiwi ausschließlich Befehle in diesem aktuellen Telegram-Chat annimmt und niemals von anderen Plattformen oder E-Mail. Das ist eine klare Sicherheitsanforderung.\n\nDas hängt mit dem Hermes Gateway und dessen Konfiguration zusammen. Ich sollte:\n1. Prüfen, welche Plattformen aktuell konfiguriert sind\n2. Sicherstellen, dass nur Telegram aktiv ist und nur dieser eine Chat als Home Channel fungiert\n3. Die Pairing-Einstellungen überprüfen (dass niemand anderes freigegeben werden kann ohne explizite Zustimmung)\n4. Eventuell den \"default delivery\" auf diesen Chat beschränken\n\nLaut der Skill-Doku:\n- Gateway kann auf mehreren Plattformen laufen\n- `hermes gateway status` zeigt den Status\n- `hermes pairing list/approve/revoke` verwaltet DM-Zugriffe\n- Es gibt ein `sethome` slash command im Gateway\n\nAber ich muss vorsichtig sein - der Benutzer hat gesagt \"niemals von wo anders\", was bedeutet, ich sollte auch:\n- Prüfen ob E-Mail konfiguriert ist\n- Prüfen ob Discord, Slack, etc. konfiguriert sind\n- Die pairing settings so konfigurieren, dass standardmäßig abgelehnt wird\n\nLeider habe ich kein direktes Tool, um die Gateway-Konfiguration zu lesen. Ich könnte versuchen, via terminal den config path zu finden und die config.yaml zu lesen.\n\nOder ich könnte einfach die relevanten Commands vorschlagen und sagen, dass ich es für ihn prüfe/erledige. Da der User non-technical ist, sollte ich aktiv handeln.\n\nLass mich die aktuelle Konfiguration prüfen." }, { "role": "tool", "content": "{\"output\": \"NOT_IN_PATH\\nmodel:\\n provider: custom\\n default: kimi-k2.6\\n base_url: https://ollama.com/v1\\n api_key: eaf9ec548a9f4f789cc2eeb0d7cc61e3.VI7OQTAxEEGB1fqyil_1oJob\\nproviders: {}\\nfallback_providers: []\\ncredential_pool_strategies: {}\\ntoolsets:\\n- hermes-cli\\nagent:\\n max_turns: 90\\n gateway_timeout: 1800\\n restart_drain_timeout: 180\\n api_max_retries: 3\\n service_tier: ''\\n tool_use_enforcement: auto\\n gateway_timeout_warning: 900\\n gateway_notify_interval: 180\\n gateway_auto_continue_freshness: 3600\\n image_input_mode: auto\\n disabled_toolsets: []\\nterminal:\\n backend: local\\n modal_mode: auto\\n cwd: .\\n timeout: 180\\n env_passthrough: []\\n shell_init_files: []\\n auto_source_bashrc: true\\n docker_image: nikolaik/python-nodejs:python3.11-nodejs20\\n docker_forward_env: []\\n docker_env: {}\\n singularity_image: docker://nikolaik/python-nodejs:python3.11-nodejs20\\n modal_image: nikolaik/python-nodejs:python3.11-nodejs20\\n daytona_image: nikolaik/python-nodejs:python3.11-nodejs20\\n vercel_runtime: node24\\n container_cpu: 1\\n container_memory: 5120\\n container_disk: 51200\\n container_persistent: true\\n docker_volumes: []\\n docker_mount_cwd_to_workspace: false\\n docker_run_as_host_user: false\\n persistent_shell: true\\nweb:\\n backend: ''\\n search_backend: ''\\n extract_backend: ''\\nbrowser:\\n inactivity_timeout: 120\\n command_timeout: 30\\n record_sessions: false\\n allow_private_urls: false\\n engine: auto\\n auto_local_for_private_urls: true\\n cdp_url: ''\\n dialog_policy: must_respond\\n dialog_timeout_s: 300\\n camofox:\\n managed_persistence: false\\ncheckpoints:\\n enabled: false\\n max_snapshots: 20\\n max_total_size_mb: 500\\n max_file_size_mb: 10\\n auto_prune: true\\n retention_days: 7\\n delete_orphans: true\\n min_interval_hours: 24\\nfile_read_max_chars: 100000\\ntool_output:\\n max_bytes: 50000\\n max_lines: 2000\\n max_line_length: 2000\\ntool_loop_guardrails:\\n warnings_enabled: true\\n hard_stop_enabled: false\\n warn_after:\\n exact_failure: 2\\n same_tool_failure: 3\\n idempotent_no_progress: 2\\n hard_stop_after:\\n exact_failure: 5\\n same_tool_failure: 8\\n idempotent_no_progress: 5\\ncompression:\\n enabled: true\\n threshold: 0.5\\n target_ratio: 0.2\\n protect_last_n: 20\\n hygiene_hard_message_limit: 400\\nprompt_caching:\\n cache_ttl: 5m\\nopenrouter:\\n response_cache: true\\n response_cache_ttl: 300\\nbedrock:\\n region: ''\\n discovery:\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "functions.terminal:2" }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "functions.search_files:3" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.read_file:4", "call_id": "functions.read_file:4", "response_item_id": "fc_functionsread_file4", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":200,\"offset\":1,\"path\":\"/DATA/AppData/hermes/config.yaml\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Gateway läuft offenbar über den systemd Service hermes-gateway.service (wie im Memory steht). Ich muss die Konfiguration so anpassen, dass:\n1. Nur Telegram DMs vom aktuellen User (Ahmed, ID 8744435286) akzeptiert werden\n2. Email komplett deaktiviert\n3. Andere Plattformen (Discord, Slack etc.) deaktiviert\n4. Keine anderen Telegram Chats/Gruppen\n\nIch sollte prüfen, ob es eine Gateway-Konfiguration gibt (meist gateway.yml oder im config.yaml unter einem gateway-Section). Lass mich weiter in die Config schauen.", "reasoning_content": "Der Gateway läuft offenbar über den systemd Service hermes-gateway.service (wie im Memory steht). Ich muss die Konfiguration so anpassen, dass:\n1. Nur Telegram DMs vom aktuellen User (Ahmed, ID 8744435286) akzeptiert werden\n2. Email komplett deaktiviert\n3. Andere Plattformen (Discord, Slack etc.) deaktiviert\n4. Keine anderen Telegram Chats/Gruppen\n\nIch sollte prüfen, ob es eine Gateway-Konfiguration gibt (meist gateway.yml oder im config.yaml unter einem gateway-Section). Lass mich weiter in die Config schauen." }, { "role": "tool", "content": "{\"content\": \" 1|model:\\n 2| provider: custom\\n 3| default: kimi-k2.6\\n 4| base_url: https://ollama.com/v1\\n 5| api_key: eaf9ec548a9f4f789cc2eeb0d7cc61e3.VI7OQTAxEEGB1fqyil_1oJob\\n 6|providers: {}\\n 7|fallback_providers: []\\n 8|credential_pool_strategies: {}\\n 9|toolsets:\\n 10|- hermes-cli\\n 11|agent:\\n 12| max_turns: 90\\n 13| gateway_timeout: 1800\\n 14| restart_drain_timeout: 180\\n 15| api_max_retries: 3\\n 16| service_tier: ''\\n 17| tool_use_enforcement: auto\\n 18| gateway_timeout_warning: 900\\n 19| gateway_notify_interval: 180\\n 20| gateway_auto_continue_freshness: 3600\\n 21| image_input_mode: auto\\n 22| disabled_toolsets: []\\n 23|terminal:\\n 24| backend: local\\n 25| modal_mode: auto\\n 26| cwd: .\\n 27| timeout: 180\\n 28| env_passthrough: []\\n 29| shell_init_files: []\\n 30| auto_source_bashrc: true\\n 31| docker_image: nikolaik/python-nodejs:python3.11-nodejs20\\n 32| docker_forward_env: []\\n 33| docker_env: {}\\n 34| singularity_image: docker://nikolaik/python-nodejs:python3.11-nodejs20\\n 35| modal_image: nikolaik/python-nodejs:python3.11-nodejs20\\n 36| daytona_image: nikolaik/python-nodejs:python3.11-nodejs20\\n 37| vercel_runtime: node24\\n 38| container_cpu: 1\\n 39| container_memory: 5120\\n 40| container_disk: 51200\\n 41| container_persistent: true\\n 42| docker_volumes: []\\n 43| docker_mount_cwd_to_workspace: false\\n 44| docker_run_as_host_user: false\\n 45| persistent_shell: true\\n 46|web:\\n 47| backend: ''\\n 48| search_backend: ''\\n 49| extract_backend: ''\\n 50|browser:\\n 51| inactivity_timeout: 120\\n 52| command_timeout: 30\\n 53| record_sessions: false\\n 54| allow_private_urls: false\\n 55| engine: auto\\n 56| auto_local_for_private_urls: true\\n 57| cdp_url: ''\\n 58| dialog_policy: must_respond\\n 59| dialog_timeout_s: 300\\n 60| camofox:\\n 61| managed_persistence: false\\n 62|checkpoints:\\n 63| enabled: false\\n 64| max_snapshots: 20\\n 65| max_total_size_mb: 500\\n 66| max_file_size_mb: 10\\n 67| auto_prune: true\\n 68| retention_days: 7\\n 69| delete_orphans: true\\n 70| min_interval_hours: 24\\n 71|file_read_max_chars: 100000\\n 72|tool_output:\\n 73| max_bytes: 50000\\n 74| max_lines: 2000\\n 75| max_line_length: 2000\\n 76|tool_loop_guardrails:\\n 77| warnings_enabled: true\\n 78| hard_stop_enabled: false\\n 79| warn_after:\\n 80| exact_failure: 2\\n 81| same_tool_failure: 3\\n 82| idempotent_no_progress: 2\\n 83| hard_stop_after:\\n 84| exact_failure: 5\\n 85| same_tool_failure: 8\\n 86| idempotent_no_progress: 5\\n 87|compression:\\n 88| enabled: true\\n 89| threshold: 0.5\\n 90| target_ratio: 0.2\\n 91| protect_last_n: 20\\n 92| hygiene_hard_message_limit: 400\\n 93|prompt_caching:\\n 94| cache_ttl: 5m\\n 95|openrouter:\\n 96| response_cache: true\\n 97| response_cache_ttl: 300\\n 98|bedrock:\\n 99| region: ''\\n 100| discovery:\\n 101| enabled: true\\n 102| provider_filter: []\\n 103| refresh_interval: 3600\\n 104| guardrail:\\n 105| guardrail_identifier: ''\\n 106| guardrail_version: ''\\n 107| stream_processing_mode: async\\n 108| trace: disabled\\n 109|auxiliary:\\n 110| vision:\\n 111| provider: auto\\n 112| model: ''\\n 113| base_url: ''\\n 114| api_key: ''\\n 115| timeout: 120\\n 116| extra_body: {}\\n 117| download_timeout: 30\\n 118| web_extract:\\n 119| provider: auto\\n 120| model: ''\\n 121| base_url: ''\\n 122| api_key: ''\\n 123| timeout: 360\\n 124| extra_body: {}\\n 125| compression:\\n 126| provider: auto\\n 127| model: ''\\n 128| base_url: ''\\n 129| api_key: ''\\n 130| timeout: 120\\n 131| extra_body: {}\\n 132| session_search:\\n 133| provider: auto\\n 134| model: ''\\n 135| base_url: ''\\n 136| api_key: ''\\n 137| timeout: 30\\n 138| extra_body: {}\\n 139| max_concurrency: 3\\n 140| skills_hub:\\n 141| provider: auto\\n 142| model: ''\\n 143| base_url: ''\\n 144| api_key: ''\\n 145| timeout: 30\\n 146| extra_body: {}\\n 147| approval:\\n 148| provider: auto\\n 149| model: ''\\n 150| base_url: ''\\n 151| api_key: ''\\n 152| timeout: 30\\n 153| extra_body: {}\\n 154| mcp:\\n 155| provider: auto\\n 156| model: ''\\n 157| base_url: ''\\n 158| api_key: ''\\n 159| timeout: 30\\n 160| extra_body: {}\\n 161| title_generation:\\n 162| provider: auto\\n 163| model: ''\\n 164| base_url: ''\\n 165| api_key: ''\\n 166| timeout: 30\\n 167| extra_body: {}\\n 168| curator:\\n 169| provider: auto\\n 170| model: ''\\n 171| base_url: ''\\n 172| api_key: ''\\n 173| timeout: 600\\n 174| extra_body: {}\\n 175|display:\\n 176| compact: false\\n 177| personality: kawaii\\n 178| resume_display: full\\n 179| busy_input_mode: interrupt\\n 180| tui_auto_resume_recent: false\\n 181| bell_on_complete: false\\n 182| show_reasoning: false\\n 183| streaming: false\\n 184| final_response_markdown: strip\\n 185| persistent_output: true\\n 186| persistent_output_max_lines: 200\\n 187| inline_diffs: true\\n 188| show_cost: false\\n 189| skin: default\\n 190| language: en\\n 191| tui_status_indicator: kaomoji\\n 192| user_message_preview:\\n 193| first_lines: 2\\n 194| last_lines: 2\\n 195| interim_assistant_messages: true\\n 196| tool_progress_command: false\\n 197| tool_progress_overrides: {}\\n 198| tool_preview_length: 0\\n 199| ephemeral_system_ttl: 0\\n 200| platforms: {}\\n 201|\", \"total_lines\": 421, \"file_size\": 9019, \"truncated\": true, \"hint\": \"Use offset=201 to continue reading (showing 1-200 of 421 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "functions.read_file:4" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.read_file:5", "call_id": "functions.read_file:5", "response_item_id": "fc_functionsread_file5", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":100,\"offset\":200,\"path\":\"/DATA/AppData/hermes/config.yaml\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"content\": \" 200| platforms: {}\\n 201| runtime_footer:\\n 202| enabled: false\\n 203| fields:\\n 204| - model\\n 205| - context_pct\\n 206| - cwd\\n 207| copy_shortcut: auto\\n 208|dashboard:\\n 209| theme: default\\n 210|privacy:\\n 211| redact_pii: false\\n 212|tts:\\n 213| provider: edge\\n 214| edge:\\n 215| voice: en-US-AriaNeural\\n 216| elevenlabs:\\n 217| voice_id: pNInz6obpgDQGcFmaJgB\\n 218| model_id: eleven_multilingual_v2\\n 219| openai:\\n 220| model: gpt-4o-mini-tts\\n 221| voice: alloy\\n 222| xai:\\n 223| voice_id: eve\\n 224| language: en\\n 225| sample_rate: 24000\\n 226| bit_rate: 128000\\n 227| mistral:\\n 228| model: voxtral-mini-tts-2603\\n 229| voice_id: c69964a6-ab8b-4f8a-9465-ec0925096ec8\\n 230| neutts:\\n 231| ref_audio: ''\\n 232| ref_text: ''\\n 233| model: neuphonic/neutts-air-q4-gguf\\n 234| device: cpu\\n 235| piper:\\n 236| voice: en_US-lessac-medium\\n 237|stt:\\n 238| enabled: true\\n 239| provider: local\\n 240| local:\\n 241| model: base\\n 242| language: ''\\n 243| openai:\\n 244| model: whisper-1\\n 245| mistral:\\n 246| model: voxtral-mini-latest\\n 247|voice:\\n 248| record_key: ctrl+b\\n 249| max_recording_seconds: 120\\n 250| auto_tts: false\\n 251| beep_enabled: true\\n 252| silence_threshold: 200\\n 253| silence_duration: 3.0\\n 254|human_delay:\\n 255| mode: 'off'\\n 256| min_ms: 800\\n 257| max_ms: 2500\\n 258|context:\\n 259| engine: compressor\\n 260|memory:\\n 261| memory_enabled: true\\n 262| user_profile_enabled: true\\n 263| memory_char_limit: 2200\\n 264| user_char_limit: 1375\\n 265| provider: ''\\n 266|delegation:\\n 267| model: ''\\n 268| provider: ''\\n 269| base_url: ''\\n 270| api_key: ''\\n 271| inherit_mcp_toolsets: true\\n 272| max_iterations: 50\\n 273| child_timeout_seconds: 600\\n 274| reasoning_effort: ''\\n 275| max_concurrent_children: 3\\n 276| max_spawn_depth: 1\\n 277| orchestrator_enabled: true\\n 278| subagent_auto_approve: false\\n 279|prefill_messages_file: ''\\n 280|goals:\\n 281| max_turns: 20\\n 282|skills:\\n 283| external_dirs: []\\n 284| template_vars: true\\n 285| inline_shell: false\\n 286| inline_shell_timeout: 10\\n 287| guard_agent_created: false\\n 288|curator:\\n 289| enabled: true\\n 290| interval_hours: 168\\n 291| min_idle_hours: 2\\n 292| stale_after_days: 30\\n 293| archive_after_days: 90\\n 294| backup:\\n 295| enabled: true\\n 296| keep: 5\\n 297|honcho: {}\\n 298|timezone: ''\\n 299|discord:\\n 300|\", \"total_lines\": 421, \"file_size\": 9019, \"truncated\": true, \"hint\": \"Use offset=300 to continue reading (showing 200-299 of 421 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "functions.read_file:5" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.read_file:6", "call_id": "functions.read_file:6", "response_item_id": "fc_functionsread_file6", "type": "function", "function": { "name": "read_file", "arguments": "{\"offset\":300,\"path\":\"/DATA/AppData/hermes/config.yaml\",\"limit\":150}" } }, { "id": "functions.search_files:7", "call_id": "functions.search_files:7", "response_item_id": "fc_functionssearch_files7", "type": "function", "function": { "name": "search_files", "arguments": "{\"output_mode\":\"files_only\",\"path\":\"/DATA/AppData/hermes\",\"pattern\":\"*.env\",\"limit\":50}" } }, { "id": "functions.search_files:8", "call_id": "functions.search_files:8", "response_item_id": "fc_functionssearch_files8", "type": "function", "function": { "name": "search_files", "arguments": "{\"limit\":50,\"output_mode\":\"files_only\",\"path\":\"/DATA/AppData/hermes\",\"pattern\":\"telegram|gateway\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Benutzer möchte, dass ich Befehle ausschließlich in diesem Chat annehme - weder von anderen Telegram-Chats noch von E-Mail. Ich habe die config.yaml gelesen. Ich sehe, dass es eine `display.platforms: {}` Einstellung gibt und auch `privacy`-Einstellungen. Ich muss herausfinden, wie der Gateway für Telegram konfiguriert ist und ob es eine Whitelist/Blacklist für Chats gibt. \n\nIn der config.yaml sehe ich ab Zeile 300:\n```\ndiscord:\n```\nund dann wahrscheinlich weitere Plattform-Konfigurationen.\n\nIch muss die restliche Datei lesen, um zu sehen, ob es Telegram-spezifische Einstellungen gibt. Außerdem muss ich die Gateway-Dokumentation konsultieren oder die hermes-agent skill nachsehen, wie man Plattformen konfiguriert.\n\nWichtig: Der Benutzer möchte ausschließlich diesen Chat. Das bedeutet:\n1. Keine anderen Telegram-Chats (DMs, Gruppen)\n2. Keine E-Mail\n3. Eventuell auch keine anderen Plattformen\n\nIch sollte:\n1. Die restliche config.yaml lesen\n2. Nach Telegram-spezifischer Config suchen\n3. Die Dokumentation/SKILL nach dem richtigen Weg fragen\n4. Die Änderungen durchführen\n\nLass mich erst die restliche Datei lesen.", "reasoning_content": "Der Benutzer möchte, dass ich Befehle ausschließlich in diesem Chat annehme - weder von anderen Telegram-Chats noch von E-Mail. Ich habe die config.yaml gelesen. Ich sehe, dass es eine `display.platforms: {}` Einstellung gibt und auch `privacy`-Einstellungen. Ich muss herausfinden, wie der Gateway für Telegram konfiguriert ist und ob es eine Whitelist/Blacklist für Chats gibt. \n\nIn der config.yaml sehe ich ab Zeile 300:\n```\ndiscord:\n```\nund dann wahrscheinlich weitere Plattform-Konfigurationen.\n\nIch muss die restliche Datei lesen, um zu sehen, ob es Telegram-spezifische Einstellungen gibt. Außerdem muss ich die Gateway-Dokumentation konsultieren oder die hermes-agent skill nachsehen, wie man Plattformen konfiguriert.\n\nWichtig: Der Benutzer möchte ausschließlich diesen Chat. Das bedeutet:\n1. Keine anderen Telegram-Chats (DMs, Gruppen)\n2. Keine E-Mail\n3. Eventuell auch keine anderen Plattformen\n\nIch sollte:\n1. Die restliche config.yaml lesen\n2. Nach Telegram-spezifischer Config suchen\n3. Die Dokumentation/SKILL nach dem richtigen Weg fragen\n4. Die Änderungen durchführen\n\nLass mich erst die restliche Datei lesen." }, { "role": "tool", "content": "{\"content\": \" 300| require_mention: true\\n 301| free_response_channels: ''\\n 302| allowed_channels: ''\\n 303| auto_thread: true\\n 304| reactions: true\\n 305| channel_prompts: {}\\n 306| server_actions: ''\\n 307|whatsapp: {}\\n 308|telegram:\\n 309| reactions: false\\n 310| channel_prompts: {}\\n 311|slack:\\n 312| channel_prompts: {}\\n 313|mattermost:\\n 314| channel_prompts: {}\\n 315|approvals:\\n 316| mode: manual\\n 317| timeout: 60\\n 318| cron_mode: deny\\n 319| mcp_reload_confirm: true\\n 320|command_allowlist:\\n 321|- overwrite system file via redirection\\n 322|- script execution via heredoc\\n 323|- delete in root path\\n 324|- pipe remote content to shell\\n 325|- shell command via -c/-lc flag\\n 326|- stop/restart system service\\n 327|- script execution via -e/-c flag\\n 328|quick_commands: {}\\n 329|hooks: {}\\n 330|hooks_auto_accept: false\\n 331|personalities: {}\\n 332|security:\\n 333| allow_private_urls: false\\n 334| redact_secrets: false\\n 335| tirith_enabled: true\\n 336| tirith_path: tirith\\n 337| tirith_timeout: 5\\n 338| tirith_fail_open: true\\n 339| website_blocklist:\\n 340| enabled: false\\n 341| domains: []\\n 342| shared_files: []\\n 343|cron:\\n 344| wrap_response: true\\n 345| max_parallel_jobs: null\\n 346|kanban:\\n 347| dispatch_in_gateway: true\\n 348| dispatch_interval_seconds: 60\\n 349|code_execution:\\n 350| mode: project\\n 351|logging:\\n 352| level: INFO\\n 353| max_size_mb: 5\\n 354| backup_count: 3\\n 355|model_catalog:\\n 356| enabled: true\\n 357| url: https://hermes-agent.nousresearch.com/docs/api/model-catalog.json\\n 358| ttl_hours: 24\\n 359| providers: {}\\n 360|network:\\n 361| force_ipv4: false\\n 362|sessions:\\n 363| auto_prune: false\\n 364| retention_days: 90\\n 365| vacuum_after_prune: true\\n 366| min_interval_hours: 24\\n 367|onboarding:\\n 368| seen:\\n 369| busy_input_prompt: true\\n 370|updates:\\n 371| pre_update_backup: false\\n 372| backup_keep: 5\\n 373|_config_version: 23\\n 374|gateway:\\n 375| platforms:\\n 376| telegram:\\n 377| enabled: true\\n 378|platform_toolsets:\\n 379| cli:\\n 380| - browser\\n 381| - clarify\\n 382| - code_execution\\n 383| - cronjob\\n 384| - delegation\\n 385| - file\\n 386| - image_gen\\n 387| - kanban\\n 388| - memory\\n 389| - messaging\\n 390| - session_search\\n 391| - skills\\n 392| - terminal\\n 393| - todo\\n 394| - tts\\n 395| - vision\\n 396| - web\\n 397|known_plugin_toolsets:\\n 398| cli:\\n 399| - spotify\\n 400|\\n 401|# ── Fallback Model ────────────────────────────────────────────────────\\n 402|# Automatic provider failover when primary is unavailable.\\n 403|# Uncomment and configure to enable. Triggers on rate limits (429),\\n 404|# overload (529), service errors (503), or connection failures.\\n 405|#\\n 406|# Supported providers:\\n 407|# openrouter (OPENROUTER_API_KEY) — routes to any model\\n 408|# openai-codex (OAuth — hermes auth) — OpenAI Codex\\n 409|# nous (OAuth — hermes auth) — Nous Portal\\n 410|# zai (ZAI_API_KEY) — Z.AI / GLM\\n 411|# kimi-coding (KIMI_API_KEY) — Kimi / Moonshot\\n 412|# kimi-coding-cn (KIMI_CN_API_KEY) — Kimi / Moonshot (China)\\n 413|# minimax (MINIMAX_API_KEY) — MiniMax\\n 414|# minimax-cn (MINIMAX_CN_API_KEY) — MiniMax (China)\\n 415|# bedrock (AWS IAM / boto3) — AWS Bedrock (Converse API)\\n 416|#\\n 417|# For custom OpenAI-compatible endpoints, add base_url and key_env.\\n 418|#\\n 419|# fallback_model:\\n 420|# provider: openrouter\\n 421|# model: anthropic/claude-sonnet-4\\n 422|\", \"total_lines\": 421, \"file_size\": 9019, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "functions.read_file:6" }, { "role": "tool", "content": "{\"total_count\": 48, \"files\": [\"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/_debug_adapter/pydevd_schema.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/alibabacloud_credentials-1.0.8.dist-info/METADATA\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/pydantic/v1/env_settings.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/uvloop/includes/uv.pxd\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/daytona/_utils/env.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/mcp/cli/claude.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/vercel/_internal/sandbox/pty_session.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/pydantic_settings/sources/__pycache__/base.cpython-311.pyc\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/pydantic_settings/sources/base.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/numpy/distutils/exec_command.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/setuptools/tests/test_egg_info.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/setuptools/tests/integration/test_pip_install_sdist.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/setuptools/tests/integration/helpers.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/setuptools/wheel.py\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/googleapiclient/discovery_cache/documents/apihub.v1.json\", \"/DATA/AppData/hermes/venv/lib/python3.11/site-packages/googleapiclient/discovery_cache/documents/apigee.v1.json\", \"/DATA/AppData/hermes/node/include/node/node.h\", \"/DATA/AppData/hermes/node/include/node/uv.h\", \"/DATA/AppData/hermes/node/lib/node_modules/npm/node_modules/@npmcli/config/lib/index.js\", \"/DATA/AppData/hermes/node/bin/node\", \"/DATA/AppData/hermes/state.db\", \"/DATA/AppData/hermes/sessions/session_20260507_140255_e3f13c.json\", \"/DATA/AppData/hermes/sessions/session_20260507_125756_c68ce0.json\", \"/DATA/AppData/hermes/sessions/session_20260508_080603_3e1b7ab8.json\", \"/DATA/AppData/hermes/sessions/session_20260507_135027_918d95.json\", \"/DATA/AppData/hermes/sessions/session_20260507_192131_65be48.json\", \"/DATA/AppData/hermes/sessions/20260508_080603_3e1b7ab8.jsonl\", \"/DATA/AppData/hermes/sessions/20260507_140838_e2c8e0.jsonl\", \"/DATA/AppData/hermes/sessions/session_20260507_200214_9e549c.json\", \"/DATA/AppData/hermes/sessions/session_20260507_133236_264b75.json\", \"/DATA/AppData/hermes/sessions/session_20260507_120612_7621f137.json\", \"/DATA/AppData/hermes/sessions/session_20260507_195513_340467.json\", \"/DATA/AppData/hermes/sessions/session_20260507_125227_c2163b.json\", \"/DATA/AppData/hermes/sessions/20260507_193440_1d34da.jsonl\", \"/DATA/AppData/hermes/sessions/session_20260507_125357_1079b1.json\", \"/DATA/AppData/hermes/sessions/session_20260507_142103_728a2d.json\", \"/DATA/AppData/hermes/sessions/session_20260507_193440_1d34da.json\", \"/DATA/AppData/hermes/sessions/20260507_120612_7621f137.jsonl\", \"/DATA/AppData/hermes/sessions/session_20260507_131544_ec4820.json\", \"/DATA/AppData/hermes/sessions/session_20260507_165846_ea5163.json\", \"/DATA/AppData/hermes/sessions/session_20260507_140838_e2c8e0.json\", \"/DATA/AppData/hermes/state.db-wal\", \"/DATA/AppData/hermes/skills/mlops/training/unsloth/references/llms-txt.md\", \"/DATA/AppData/hermes/skills/mlops/training/unsloth/references/llms-full.md\", \"/DATA/AppData/hermes/skills/mcp/native-mcp/SKILL.md\", \"/DATA/AppData/hermes/skills/software-development/agent-onboarding/references/openclaw-to-hermes-migration.md\", \"/DATA/AppData/hermes/skills/software-development/agent-onboarding/references/predecessor-integration.md\", \"/DATA/AppData/hermes/skills/software-development/agent-onboarding/SKILL.md\"]}", "tool_call_id": "functions.search_files:7" }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "functions.search_files:8" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.execute_code:9", "call_id": "functions.execute_code:9", "response_item_id": "fc_functionsexecute_code9", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import subprocess, os, json\\n\\n# 1. Find .env file\\nhermes_home = '/DATA/AppData/hermes'\\nenv_paths = [\\n os.path.join(hermes_home, '.env'),\\n os.path.join(hermes_home, '.hermes', '.env'),\\n os.path.join(os.path.expanduser('~'), '.hermes', '.env'),\\n]\\n\\nfor p in env_paths:\\n if os.path.exists(p):\\n print(f\\\"ENV file found: {p}\\\")\\n with open(p, 'r') as f:\\n content = f.read()\\n for line in content.splitlines():\\n if 'TELEGRAM' in line.upper() or 'BOT' in line.upper():\\n print(f\\\" {line}\\\")\\n else:\\n print(f\\\"Not found: {p}\\\")\\n\\nprint()\\n\\n# 2. Search for pairing config or auth files\\npairing_files = []\\nfor root, dirs, files in os.walk(hermes_home):\\n for f in files:\\n if 'pairing' in f.lower() or 'auth' in f.lower():\\n p = os.path.join(root, f)\\n if '.venv' not in p and 'site-packages' not in p:\\n pairing_files.append(p)\\n\\nprint(\\\"Auth/pairing files:\\\")\\nfor p in pairing_files[:20]:\\n print(f\\\" {p}\\\")\\n\\n# 3. Check state.db for users\\nstate_db = os.path.join(hermes_home, 'state.db')\\nif os.path.exists(state_db):\\n print(f\\\"\\\\nstate.db exists: {os.path.getsize(state_db)} bytes\\\")\\n\\n# 4. List all JSON session files\\nsessions_dir = os.path.join(hermes_home, 'sessions')\\nif os.path.exists(sessions_dir):\\n files = [f for f in os.listdir(sessions_dir) if f.endswith('.json')]\\n print(f\\\"\\\\nSession JSON files ({len(files)}):\\\")\\n for f in sorted(files):\\n print(f\\\" {f}\\\")\\n\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Ich muss jetzt die richtige Lösung finden. Basierend auf der Skill-Doku gibt es das \"pairing\"-System in Hermes. Lassen mich prüfen, ob es in der Config einen pairing-Bereich gibt und wie die Auth funktioniert.\n\nIch sollte:\n1. Die pairing-Liste prüfen (hermes pairing list)\n2. Die .env Datei finden und prüfen, ob TELEGRAM_TOKEN vorhanden ist (das würde zeigen, dass es nur eine Instanz gibt)\n3. Die config.yaml für pairing-Einstellungen prüfen\n\nLassen mich die vollständige config.yaml und die .env finden.", "reasoning_content": "Ich muss jetzt die richtige Lösung finden. Basierend auf der Skill-Doku gibt es das \"pairing\"-System in Hermes. Lassen mich prüfen, ob es in der Config einen pairing-Bereich gibt und wie die Auth funktioniert.\n\nIch sollte:\n1. Die pairing-Liste prüfen (hermes pairing list)\n2. Die .env Datei finden und prüfen, ob TELEGRAM_TOKEN vorhanden ist (das würde zeigen, dass es nur eine Instanz gibt)\n3. Die config.yaml für pairing-Einstellungen prüfen\n\nLassen mich die vollständige config.yaml und die .env finden." }, { "role": "tool", "content": "{\"status\": \"success\", \"output\": \"ENV file found: /DATA/AppData/hermes/.env\\n TELEGRAM_BOT_TOKEN=8675826370:AAExes-0hRt4xHuGtzC6U062A2HTeztfG4s\\n TELEGRAM_ALLOWED_USERS=8744435286\\n TELEGRAM_HOME_CHANNEL=8744435286\\n TELEGRAM_HOME_CHANNEL_THREAD_ID=\\nNot found: /DATA/AppData/hermes/.hermes/.env\\nNot found: /DATA/AppData/.hermes/.env\\n\\nAuth/pairing files:\\n /DATA/AppData/hermes/auth.lock\\n /DATA/AppData/hermes/auth.json\\n /DATA/AppData/hermes/venv/bin/google-oauthlib-tool\\n /DATA/AppData/hermes/node/lib/node_modules/npm/lib/utils/auth.js\\n /DATA/AppData/hermes/node/lib/node_modules/npm/node_modules/spdx-expression-parse/AUTHORS\\n /DATA/AppData/hermes/node/lib/node_modules/npm/node_modules/validate-npm-package-license/node_modules/spdx-expression-parse/AUTHORS\\n /DATA/AppData/hermes/node/lib/node_modules/npm/node_modules/npm-registry-fetch/lib/auth.js\\n /DATA/AppData/hermes/node/lib/node_modules/npm/node_modules/spdx-correct/node_modules/spdx-expression-parse/AUTHORS\\n /DATA/AppData/hermes/browser/debian-libs/x86_64-linux-gnu/security/pam_xauth.so\\n /DATA/AppData/hermes/browser/debian-libs/lib-x86_64/security/pam_xauth.so\\n /DATA/AppData/hermes/.hermes/google_oauth_pending.json\\n /DATA/AppData/hermes/.hermes/google_oauth_last_url.txt\\n /DATA/AppData/hermes/skills/software-development/agent-onboarding/references/oauth-browser-flow.md\\n\\nstate.db exists: 15036416 bytes\\n\\nSession JSON files (30):\\n request_dump_20260507_120612_7621f137_20260507_120615_877377.json\\n request_dump_20260507_120612_7621f137_20260507_120715_283047.json\\n session_20260507_120612_7621f137.json\\n session_20260507_122000_f6a806.json\\n session_20260507_123753_3744f5.json\\n session_20260507_125227_c2163b.json\\n session_20260507_125357_1079b1.json\\n session_20260507_125756_c68ce0.json\\n session_20260507_131544_ec4820.json\\n session_20260507_133236_264b75.json\\n session_20260507_135027_918d95.json\\n session_20260507_140255_e3f13c.json\\n session_20260507_140838_e2c8e0.json\\n session_20260507_142103_728a2d.json\\n session_20260507_165846_ea5163.json\\n session_20260507_192131_65be48.json\\n session_20260507_193440_1d34da.json\\n session_20260507_195513_340467.json\\n session_20260507_200214_9e549c.json\\n session_20260507_202357_9e6302.json\\n session_20260507_204124_a1cf00.json\\n session_20260507_205240_8cbd83.json\\n session_20260507_210459_87cb83.json\\n session_20260507_210733_590340.json\\n session_20260507_212506_e40e63.json\\n session_20260507_213618_be1db7.json\\n session_20260507_213659_b0636a.json\\n session_20260507_220155_b9f147.json\\n session_20260508_080603_3e1b7ab8.json\\n sessions.json\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.23}", "tool_call_id": "functions.execute_code:9" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.execute_code:10", "call_id": "functions.execute_code:10", "response_item_id": "fc_functionsexecute_code10", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"import os\\n\\nenv_path = '/DATA/AppData/hermes/.env'\\nwith open(env_path, 'r') as f:\\n content = f.read()\\n\\nprint(\\\"=== FULL .env file (keys shown, values hidden) ===\\\")\\nfor line in content.splitlines():\\n line = line.strip()\\n if not line or line.startswith('#'):\\n print(line)\\n continue\\n if '=' in line:\\n key, val = line.split('=', 1)\\n # Mask the value\\n if len(val) \\u003e 6:\\n masked = val[:3] + '***' + val[-3:]\\n else:\\n masked = '***'\\n print(f\\\"{key}={masked}\\\")\\n else:\\n print(line)\\n\\nprint(\\\"\\\\n=== Platform indicators ===\\\")\\nplatforms = []\\nfor line in content.splitlines():\\n line_lower = line.lower()\\n if any(p in line_lower for p in ['telegram', 'discord', 'slack', 'email', 'smtp', 'imap', 'whatsapp', 'signal', 'matrix', 'mattermost', 'wechat', 'feishu', 'webhook', 'server']):\\n platforms.append(line)\\n\\nif platforms:\\n for p in platforms:\\n print(f\\\" {p}\\\")\\nelse:\\n print(\\\" No other platform configs found\\\")\\n\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Perfekt! Jetzt habe ich die entscheidende Information. Die `.env` Datei zeigt:\n\n```\nTELEGRAM_BOT_TOKEN=8675826370:AAExes-0hRt4xHuGtzC6U062A2HTeztfG4s\nTELEGRAM_ALLOWED_USERS=8744435286\nTELEGRAM_HOME_CHANNEL=8744435286\nTELEGRAM_HOME_CHANNEL_THREAD_ID=\n```\n\nDas ist **schon konfiguriert**:\n- `TELEGRAM_ALLOWED_USERS=8744435286` bedeutet: nur dieser eine User (Ahmed) kann mit dem Bot interagieren\n- Es gibt keine weiteren IDs in der Liste\n- `TELEGRAM_HOME_CHANNEL=8744435286` ist auch fest auf diesen Chat gesetzt\n\nAber Zeyd will zusätzlich sicherstellen, dass es KEINE anderen Plattformen gibt (kein Discord, kein Slack, kein Email). Lass mich nochmal checken, ob es andere Plattformen gibt oder ob ein anderer Gateway/Server läuft, und ob die `.env` weitere Plattformen hat.", "reasoning_content": "Perfekt! Jetzt habe ich die entscheidende Information. Die `.env` Datei zeigt:\n\n```\nTELEGRAM_BOT_TOKEN=8675826370:AAExes-0hRt4xHuGtzC6U062A2HTeztfG4s\nTELEGRAM_ALLOWED_USERS=8744435286\nTELEGRAM_HOME_CHANNEL=8744435286\nTELEGRAM_HOME_CHANNEL_THREAD_ID=\n```\n\nDas ist **schon konfiguriert**:\n- `TELEGRAM_ALLOWED_USERS=8744435286` bedeutet: nur dieser eine User (Ahmed) kann mit dem Bot interagieren\n- Es gibt keine weiteren IDs in der Liste\n- `TELEGRAM_HOME_CHANNEL=8744435286` ist auch fest auf diesen Chat gesetzt\n\nAber Zeyd will zusätzlich sicherstellen, dass es KEINE anderen Plattformen gibt (kein Discord, kein Slack, kein Email). Lass mich nochmal checken, ob es andere Plattformen gibt oder ob ein anderer Gateway/Server läuft, und ob die `.env` weitere Plattformen hat." }, { "role": "tool", "content": "{\"status\": \"success\", \"output\": \"=== FULL .env file (keys shown, values hidden) ===\\nTELEGRAM_BOT_TOKEN=867***G4s\\nTELEGRAM_ALLOWED_USERS=874***286\\nOLLAMA_API_KEY=eaf***Job\\nHF_HOME=/DA***ace\\nWHISPER_CACHE_DIR=/DA***per\\nXDG_CACHE_HOME=/DA***che\\n\\n# Google OAuth Quelle\\nGOOGLE_SECRETS_PATH=/DA***env\\nGOOGLE_ACCESS_TOKEN=ya2***206\\nGOOGLE_REFRESH_TOKEN=1//***-Ew\\nTELEGRAM_HOME_CHANNEL=874***286\\nTELEGRAM_HOME_CHANNEL_THREAD_ID=***\\n\\n=== Platform indicators ===\\n TELEGRAM_BOT_TOKEN=8675826370:AAExes-0hRt4xHuGtzC6U062A2HTeztfG4s\\n TELEGRAM_ALLOWED_USERS=8744435286\\n TELEGRAM_HOME_CHANNEL=8744435286\\n TELEGRAM_HOME_CHANNEL_THREAD_ID=\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.22}", "tool_call_id": "functions.execute_code:10" }, { "role": "assistant", "content": "Gute Nachrichten, Zeyd – **das ist bereits zu 100% abgedeckt.** 🛡️\n\nHier der aktuelle Sicherheitsstatus:\n\n**Was ich gefunden habe:**\n\n- `TELEGRAM_ALLOWED_USERS=8744435286` → **NUR deine Telegram-ID** darf mit mir reden. Jeder andere wird komplett ignoriert/blockiert.\n- `TELEGRAM_HOME_CHANNEL=8744435286` → Der \"Home Channel\" ist fix auf diesen Chat gesetzt.\n- **Keine anderen Plattformen aktiviert** → Kein Discord, Slack, Email, WhatsApp, Signal, Matrix, nichts.\n- In der `config.yaml` steht unter `gateway.platforms` nur `telegram: enabled: true` – alles andere fehlt komplett.\n\n**Was das bedeutet:**\n- Selbst wenn jemand deinen Bot-Token ausspioniert und den Bot anschreibt – **ich antworte nicht.**\n- Selbst wenn jemand eine Gruppe erstellt und den Bot hinzufügt – **ich antworte nicht** (außer du fügst die Gruppe explizit zu `ALLOWED_USERS` hinzu).\n- Es gibt keinen Weg, mich außerhalb dieses Chats zu erreichen.\n\n**Eine Sache noch:** Google OAuth ist konfiguriert (`GOOGLE_ACCESS_TOKEN`), aber das ist **nur für die Google-Tools** (Calendar, Gmail, Drive), nicht für Messaging. Das heißt, ich kann deine Google-Daten abrufen, wenn du mich darum bittest – aber niemand kann mich über Google kontaktieren.\n\nFazit: Du bist bereits **bulletproof** eingestellt. Nur du, nur dieser Chat, nur Telegram. \n\nSoll ich das als Regel in mein Memory schreiben, damit ich es nie vergesse?", "reasoning": "Der Zustand ist sehr gut! Die Sicherheit ist bereits fast perfekt konfiguriert:\n\n1. **TELEGRAM_ALLOWED_USERS=8744435286** – nur Ahmeds Telegram-ID ist erlaubt. Jeder andere, der den Bot anschreibt, wird blockiert/abgelehnt.\n2. **TELEGRAM_HOME_CHANNEL=8744435286** – der Home Channel ist auf Ahmeds Chat gesetzt.\n3. Keine anderen Plattformen sind konfiguriert (kein Discord, Slack, Email, etc.).\n4. Die `gateway` config in config.yaml zeigt nur `telegram: enabled: true`, keine anderen Plattformen.\n\nWas ich jetzt tun sollte:\n- Das bestätigen und Ahmed beruhigen\n- Optional: explizit prüfen, ob es eine \"pairing\" Whitelist gibt oder ob Hermes das über TELEGRAM_ALLOWED_USERS macht\n- Die Sicherheit in mein Memory speichern, damit ich es nicht vergesse\n\nLass mich noch kurz die auth.json checken, um zu sehen, ob da irgendwelche OAuth-Tokens sind, die andere Plattformen erlauben könnten (z.B. Google OAuth – aber das ist nur für Google Workspace Tools, nicht für Messaging).\n\nIch sollte auch den Gateway-Restart erwähnen, falls er Änderungen machen will. Aber eigentlich ist alles schon richtig eingestellt.\n\nAntwort auf Deutsch, kurz und klar: Die Sicherheit ist bereits optimal. Nur Telegram, nur Ahmeds ID." }, { "role": "user", "content": "Super. Liste mir mal bitte alle aktiven skills auf mit ganz kurzer Beschreibung!" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.skills_list:11", "call_id": "functions.skills_list:11", "response_item_id": "fc_functionsskills_list11", "type": "function", "function": { "name": "skills_list", "arguments": "{}" } } ], "finish_reason": "tool_calls", "reasoning": "Der User möchte eine Liste aller aktiven Skills mit kurzer Beschreibung. Ich sollte die `skills_list` Funktion nutzen und dann eine schöne formatierte Liste zurückgeben.", "reasoning_content": "Der User möchte eine Liste aller aktiven Skills mit kurzer Beschreibung. Ich sollte die `skills_list` Funktion nutzen und dann eine schöne formatierte Liste zurückgeben." }, { "role": "tool", "content": "{\"success\": true, \"skills\": [{\"name\": \"dogfood\", \"description\": \"Exploratory QA of web apps: find bugs, evidence, reports.\", \"category\": null}, {\"name\": \"yuanbao\", \"description\": \"Yuanbao (元宝) groups: @mention users, query info/members.\", \"category\": null}, {\"name\": \"claude-code\", \"description\": \"Delegate coding to Claude Code CLI (features, PRs).\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"codex\", \"description\": \"Delegate coding to OpenAI Codex CLI (features, PRs).\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"hermes-agent\", \"description\": \"Configure, extend, or contribute to Hermes Agent.\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"opencode\", \"description\": \"Delegate coding to OpenCode CLI (features, PR review).\", \"category\": \"autonomous-ai-agents\"}, {\"name\": \"architecture-diagram\", \"description\": \"Dark-themed SVG architecture/cloud/infra diagrams as HTML.\", \"category\": \"creative\"}, {\"name\": \"ascii-art\", \"description\": \"ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\", \"category\": \"creative\"}, {\"name\": \"ascii-video\", \"description\": \"ASCII video: convert video/audio to colored ASCII MP4/GIF.\", \"category\": \"creative\"}, {\"name\": \"baoyu-comic\", \"description\": \"Knowledge comics (知识漫画): educational, biography, tutorial.\", \"category\": \"creative\"}, {\"name\": \"baoyu-infographic\", \"description\": \"Infographics: 21 layouts x 21 styles (信息图, 可视化).\", \"category\": \"creative\"}, {\"name\": \"claude-design\", \"description\": \"Design one-off HTML artifacts (landing, deck, prototype).\", \"category\": \"creative\"}, {\"name\": \"comfyui\", \"description\": \"Generate images, video, and audio with ComfyUI — install, launch, manage nodes/models, run workflows with parameter injection. Uses the official comfy-cli for lifecycle and direct REST/WebSocket API for execution.\", \"category\": \"creative\"}, {\"name\": \"design-md\", \"description\": \"Author/validate/export Google's DESIGN.md token spec files.\", \"category\": \"creative\"}, {\"name\": \"excalidraw\", \"description\": \"Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\", \"category\": \"creative\"}, {\"name\": \"humanizer\", \"description\": \"Humanize text: strip AI-isms and add real voice.\", \"category\": \"creative\"}, {\"name\": \"ideation\", \"description\": \"Generate project ideas via creative constraints.\", \"category\": \"creative\"}, {\"name\": \"manim-video\", \"description\": \"Manim CE animations: 3Blue1Brown math/algo videos.\", \"category\": \"creative\"}, {\"name\": \"p5js\", \"description\": \"p5.js sketches: gen art, shaders, interactive, 3D.\", \"category\": \"creative\"}, {\"name\": \"pixel-art\", \"description\": \"Pixel art w/ era palettes (NES, Game Boy, PICO-8).\", \"category\": \"creative\"}, {\"name\": \"popular-web-designs\", \"description\": \"54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\", \"category\": \"creative\"}, {\"name\": \"pretext\", \"description\": \"Use when building creative browser demos with @chenglou/pretext — DOM-free text layout for ASCII art, typographic flow around obstacles, text-as-geometry games, kinetic typography, and text-powered generative art. Produces single-file HTML demos by default.\", \"category\": \"creative\"}, {\"name\": \"sketch\", \"description\": \"Throwaway HTML mockups: 2-3 design variants to compare.\", \"category\": \"creative\"}, {\"name\": \"songwriting-and-ai-music\", \"description\": \"Songwriting craft and Suno AI music prompts.\", \"category\": \"creative\"}, {\"name\": \"touchdesigner-mcp\", \"description\": \"Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.\", \"category\": \"creative\"}, {\"name\": \"jupyter-live-kernel\", \"description\": \"Iterative Python via live Jupyter kernel (hamelnb).\", \"category\": \"data-science\"}, {\"name\": \"headless-browser-automation\", \"description\": \"Running real browser automation (Playwright, Selenium) on headless Linux systems that lack desktop libraries, package managers, or writable system paths — common on ZimaOS, CasaOS, NAS appliances, and restricted containers. Covers Docker-based Chromium, system-library fallbacks, and anti-detection setup.\", \"category\": \"devops\"}, {\"name\": \"kanban-orchestrator\", \"description\": \"Decomposition playbook + specialist-roster conventions + anti-temptation rules for an orchestrator profile routing work through Kanban. The \\\"don't do the work yourself\\\" rule and the basic lifecycle are auto-injected into every kanban worker's system prompt; this skill is the deeper playbook when you're specifically playing the orchestrator role.\", \"category\": \"devops\"}, {\"name\": \"kanban-worker\", \"description\": \"Pitfalls, examples, and edge cases for Hermes Kanban workers. The lifecycle itself is auto-injected into every worker's system prompt as KANBAN_GUIDANCE (from agent/prompt_builder.py); this skill is what you load when you want deeper detail on specific scenarios.\", \"category\": \"devops\"}, {\"name\": \"kiwi-browser-setup\", \"description\": \"Aufsetzen eines headless Chromium Browsers in einem Docker-Container auf ZimaOS für Web-Scraping und Automatisierung\", \"category\": \"devops\"}, {\"name\": \"server-environment-setup\", \"description\": \"Installing and configuring CLI tools, Python packages, and browsers on headless Linux servers with limited privileges (e.g., ZimaOS, CasaOS, NAS environments).\", \"category\": \"devops\"}, {\"name\": \"webhook-subscriptions\", \"description\": \"Webhook subscriptions: event-driven agent runs.\", \"category\": \"devops\"}, {\"name\": \"himalaya\", \"description\": \"Himalaya CLI: IMAP/SMTP email from terminal.\", \"category\": \"email\"}, {\"name\": \"minecraft-modpack-server\", \"description\": \"Host modded Minecraft servers (CurseForge, Modrinth).\", \"category\": \"gaming\"}, {\"name\": \"pokemon-player\", \"description\": \"Play Pokemon via headless emulator + RAM reads.\", \"category\": \"gaming\"}, {\"name\": \"codebase-inspection\", \"description\": \"Inspect codebases w/ pygount: LOC, languages, ratios.\", \"category\": \"github\"}, {\"name\": \"github-auth\", \"description\": \"GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\", \"category\": \"github\"}, {\"name\": \"github-code-review\", \"description\": \"Review PRs: diffs, inline comments via gh or REST.\", \"category\": \"github\"}, {\"name\": \"github-issues\", \"description\": \"Create, triage, label, assign GitHub issues via gh or REST.\", \"category\": \"github\"}, {\"name\": \"github-pr-workflow\", \"description\": \"GitHub PR lifecycle: branch, commit, open, CI, merge.\", \"category\": \"github\"}, {\"name\": \"github-repo-management\", \"description\": \"Clone/create/fork repos; manage remotes, releases.\", \"category\": \"github\"}, {\"name\": \"native-mcp\", \"description\": \"MCP client: connect servers, register tools (stdio/HTTP).\", \"category\": \"mcp\"}, {\"name\": \"gif-search\", \"description\": \"Search/download GIFs from Tenor via curl + jq.\", \"category\": \"media\"}, {\"name\": \"heartmula\", \"description\": \"HeartMuLa: Suno-like song generation from lyrics + tags.\", \"category\": \"media\"}, {\"name\": \"songsee\", \"description\": \"Audio spectrograms/features (mel, chroma, MFCC) via CLI.\", \"category\": \"media\"}, {\"name\": \"spotify\", \"description\": \"Spotify: play, search, queue, manage playlists and devices.\", \"category\": \"media\"}, {\"name\": \"youtube-content\", \"description\": \"YouTube transcripts to summaries, threads, blogs.\", \"category\": \"media\"}, {\"name\": \"audiocraft-audio-generation\", \"description\": \"AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\", \"category\": \"mlops\"}, {\"name\": \"axolotl\", \"description\": \"Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\", \"category\": \"mlops\"}, {\"name\": \"dspy\", \"description\": \"DSPy: declarative LM programs, auto-optimize prompts, RAG.\", \"category\": \"mlops\"}, {\"name\": \"evaluating-llms-harness\", \"description\": \"lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\", \"category\": \"mlops\"}, {\"name\": \"fine-tuning-with-trl\", \"description\": \"TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\", \"category\": \"mlops\"}, {\"name\": \"huggingface-hub\", \"description\": \"HuggingFace hf CLI: search/download/upload models, datasets.\", \"category\": \"mlops\"}, {\"name\": \"llama-cpp\", \"description\": \"llama.cpp local GGUF inference + HF Hub model discovery.\", \"category\": \"mlops\"}, {\"name\": \"obliteratus\", \"description\": \"OBLITERATUS: abliterate LLM refusals (diff-in-means).\", \"category\": \"mlops\"}, {\"name\": \"outlines\", \"description\": \"Outlines: structured JSON/regex/Pydantic LLM generation.\", \"category\": \"mlops\"}, {\"name\": \"segment-anything-model\", \"description\": \"SAM: zero-shot image segmentation via points, boxes, masks.\", \"category\": \"mlops\"}, {\"name\": \"serving-llms-vllm\", \"description\": \"vLLM: high-throughput LLM serving, OpenAI API, quantization.\", \"category\": \"mlops\"}, {\"name\": \"unsloth\", \"description\": \"Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\", \"category\": \"mlops\"}, {\"name\": \"weights-and-biases\", \"description\": \"W&B: log ML experiments, sweeps, model registry, dashboards.\", \"category\": \"mlops\"}, {\"name\": \"obsidian\", \"description\": \"Read, search, create, and edit notes in the Obsidian vault.\", \"category\": \"note-taking\"}, {\"name\": \"airtable\", \"description\": \"Airtable REST API via curl. Records CRUD, filters, upserts.\", \"category\": \"productivity\"}, {\"name\": \"google-workspace\", \"description\": \"Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\", \"category\": \"productivity\"}, {\"name\": \"linear\", \"description\": \"Linear: manage issues, projects, teams via GraphQL + curl.\", \"category\": \"productivity\"}, {\"name\": \"maps\", \"description\": \"Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\", \"category\": \"productivity\"}, {\"name\": \"nano-pdf\", \"description\": \"Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\", \"category\": \"productivity\"}, {\"name\": \"notion\", \"description\": \"Notion API via curl: pages, databases, blocks, search.\", \"category\": \"productivity\"}, {\"name\": \"ocr-and-documents\", \"description\": \"Extract text from PDFs/scans (pymupdf, marker-pdf).\", \"category\": \"productivity\"}, {\"name\": \"powerpoint\", \"description\": \"Create, read, edit .pptx decks, slides, notes, templates.\", \"category\": \"productivity\"}, {\"name\": \"godmode\", \"description\": \"Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\", \"category\": \"red-teaming\"}, {\"name\": \"arxiv\", \"description\": \"Search arXiv papers by keyword, author, category, or ID.\", \"category\": \"research\"}, {\"name\": \"blogwatcher\", \"description\": \"Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\", \"category\": \"research\"}, {\"name\": \"llm-wiki\", \"description\": \"Karpathy's LLM Wiki: build/query interlinked markdown KB.\", \"category\": \"research\"}, {\"name\": \"polymarket\", \"description\": \"Query Polymarket: markets, prices, orderbooks, history.\", \"category\": \"research\"}, {\"name\": \"research-paper-writing\", \"description\": \"Write ML papers for NeurIPS/ICML/ICLR: design→submit.\", \"category\": \"research\"}, {\"name\": \"openhue\", \"description\": \"Control Philips Hue lights, scenes, rooms via OpenHue CLI.\", \"category\": \"smart-home\"}, {\"name\": \"xurl\", \"description\": \"X/Twitter via xurl CLI: post, search, DM, media, v2 API.\", \"category\": \"social-media\"}, {\"name\": \"agent-onboarding\", \"description\": \"Onboard a user to a personalized AI assistant: gather profile, discover environment, handle credentials, integrate external bot data, and establish style/autonomy boundaries.\", \"category\": \"software-development\"}, {\"name\": \"debugging-hermes-tui-commands\", \"description\": \"Debug Hermes TUI slash commands: Python, gateway, Ink UI.\", \"category\": \"software-development\"}, {\"name\": \"hermes-agent-skill-authoring\", \"description\": \"Author in-repo SKILL.md: frontmatter, validator, structure.\", \"category\": \"software-development\"}, {\"name\": \"node-inspect-debugger\", \"description\": \"Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\", \"category\": \"software-development\"}, {\"name\": \"plan\", \"description\": \"Plan mode: write markdown plan to .hermes/plans/, no exec.\", \"category\": \"software-development\"}, {\"name\": \"python-debugpy\", \"description\": \"Debug Python: pdb REPL + debugpy remote (DAP).\", \"category\": \"software-development\"}, {\"name\": \"requesting-code-review\", \"description\": \"Pre-commit review: security scan, quality gates, auto-fix.\", \"category\": \"software-development\"}, {\"name\": \"spike\", \"description\": \"Throwaway experiments to validate an idea before build.\", \"category\": \"software-development\"}, {\"name\": \"subagent-driven-development\", \"description\": \"Execute plans via delegate_task subagents (2-stage review).\", \"category\": \"software-development\"}, {\"name\": \"systematic-debugging\", \"description\": \"4-phase root cause debugging: understand bugs before fixing.\", \"category\": \"software-development\"}, {\"name\": \"test-driven-development\", \"description\": \"TDD: enforce RED-GREEN-REFACTOR, tests before code.\", \"category\": \"software-development\"}, {\"name\": \"writing-plans\", \"description\": \"Write implementation plans: bite-sized tasks, paths, code.\", \"category\": \"software-development\"}], \"categories\": [\"autonomous-ai-agents\", \"creative\", \"data-science\", \"devops\", \"email\", \"gaming\", \"github\", \"mcp\", \"media\", \"mlops\", \"note-taking\", \"productivity\", \"red-teaming\", \"research\", \"smart-home\", \"social-media\", \"software-development\"], \"count\": 89, \"hint\": \"Use skill_view(name) to see full content, tags, and linked files\"}", "tool_call_id": "functions.skills_list:11" }, { "role": "assistant", "content": "89 aktive Skills – hier aufgeteilt nach Kategorien, stark gekürzt:\n\n**Autonome Agenten**\n- `claude-code` – Coding an Claude Code delegieren\n- `codex` – Coding an OpenAI Codex delegieren\n- `opencode` – Coding an OpenCode delegieren\n- `hermes-agent` – Hermes selbst konfigurieren/erweitern\n\n**Kreativ**\n- `architecture-diagram` – Dark SVG Diagramme\n- `ascii-art` – ASCII Art (pyfiglet, cowsay)\n- `ascii-video` – Video zu ASCII MP4/GIF\n- `baoyu-comic` – Knowledge Comics\n- `baoyu-infographic` – Infografiken 21×21 Styles\n- `claude-design` – HTML Landing Pages/Prototypen\n- `comfyui` – Bild/Video/Audio mit ComfyUI\n- `design-md` – Google's DESIGN.md Token Spec\n- `excalidraw` – Hand-drawn Diagramme\n- `humanizer` – AI-Text menschlicher machen\n- `ideation` – Projektideen generieren\n- `manim-video` – 3Blue1Brown-Mathe-Animationen\n- `p5js` – Generative Art / 3D Sketches\n- `pixel-art` – Pixel Art mit NES/GB Paletten\n- `popular-web-designs` – 54 realer Design Systems als HTML\n- `pretext` – ASCII/Typografie Browser Demos\n- `sketch` – Schnelle HTML Mockups (2-3 Varianten)\n- `songwriting-and-ai-music` – Suno AI Music Prompts\n- `touchdesigner-mcp` – TouchDesigner steuern\n\n**DevOps**\n- `headless-browser-automation` – Browser auf headless Linux (ZimaOS!)\n- `kanban-orchestrator` – Multi-Agent Kanban Board\n- `kanban-worker` – Kanban Worker Details\n- `kiwi-browser-setup` – **Headless Chromium auf ZimaOS** (Docker)\n- `server-environment-setup` – CLI/Python auf headless Server installieren\n- `webhook-subscriptions` – Event-gesteuerte Agent Runs\n\n**Email**\n- `himalaya` – IMAP/SMEmail Terminal\n\n**Gaming**\n- `minecraft-modpack-server` – Modded Minecraft Server\n- `pokemon-player` – Pokemon via Emulator spielen\n\n**GitHub**\n- `codebase-inspection` – Codebase LOC/Analyse\n- `github-auth` – GitHub Login (Token/SSH)\n- `github-code-review` – PR Reviews mit Kommentaren\n- `github-issues` – Issues erstellen/triagen\n- `github-pr-workflow` – Branch → Commit → PR → Merge\n- `github-repo-management` – Repos klonen/forken/releases\n\n**MCP**\n- `native-mcp` – MCP Server connecten\n\n**Media**\n- `gif-search` – Tenor GIFs suchen\n- `heartmula` – Suno-ähnliche Song Generierung\n- `songsee` – Audio Spektrogramme/Features\n- `spotify` – Spotify Play/Search/Queue\n- `youtube-content` – YouTube Transkripte → Summaries\n\n**MLOps / ML**\n- `audiocraft-audio-generation` – MusicGen/AudioGen\n- `axolotl` – LoRA/DPO/GRPO Fine-Tuning\n- `dspy` – Declarative LM Programs\n- `evaluating-llms-harness` – LLM Benchmarks (MMLU etc.)\n- `fine-tuning-with-trl` – TRL SFT/DPO/PPO/GRPO\n- `huggingface-hub` – HF Modelle/Datasets\n- `llama-cpp` – Lokale GGUF Inference\n- `obliteratus` – LLM Refusals entfernen\n- `outlines` – Strukturierte JSON/Regex Output\n- `segment-anything-model` – Zero-Shot Bild Segmentation\n- `serving-llms-vllm` – vLLM Server\n- `unsloth` – 2-5x schnelleres LoRA Fine-Tuning\n- `weights-and-biases` – W&B Experiment Tracking\n\n**Notizen**\n- `obsidian` – Obsidian Vault lesen/schreiben\n\n**Produktivität**\n- `airtable` – Airtable API CRUD\n- `google-workspace` – Gmail/Calendar/Drive/Docs/Sheets\n- `linear` – Linear Issues/Projects\n- `maps` – Geocoding/Routen via OpenStreetMap\n- `nano-pdf` – PDF Text editieren (NL Prompts)\n- `notion` – Notion API Seiten/DBs/Blocks\n- `ocr-and-documents` – PDF/Scan Text extrahieren\n- `powerpoint` – .pptx erstellen/bearbeiten\n\n**Research**\n- `arxiv` – arXiv Papers suchen\n- `blogwatcher` – RSS/Atom Feeds monitoren\n- `llm-wiki` – LLM Wiki bauen/abfragen\n- `polymarket` – Prediction Markets abfragen\n- `research-paper-writing` – ML Paper schreiben\n\n**Smart Home**\n- `openhue` – Philips Hue steuern\n\n**Social Media**\n- `xurl` – X/Twitter posten/suchen/DMs\n\n**Software Development**\n- `agent-onboarding` – User Onboarding (das haben wir gestern benutzt!)\n- `debugging-hermes-tui-commands` – Hermes TUI debuggen\n- `hermes-agent-skill-authoring` – Skills schreiben\n- `node-inspect-debugger` – Node.js debuggen\n- `plan` – Markdown Pläne schreiben (.hermes/plans/)\n- `python-debugpy` – Python Debug (pdb/debugpy)\n- `requesting-code-review` – Pre-Commit Review\n- `spike` – Throwaway Experimente\n- `subagent-driven-development` – delegate_task Workflows\n- `systematic-debugging` – 4-Phase Debugging\n- `test-driven-development` – TDD (RED-GREEN-REFACTOR)\n- `writing-plans` – Implementation Pläne schreiben\n\n**Red Teaming**\n- `godmode` – LLM Jailbreaks\n\n**Sonderkategorie**\n- `dogfood` – Web App QA/Bugfinding\n\n**Für dich relevante Highlights:**\n- `kiwi-browser-setup` – **Unser Browser** auf ZimaOS\n- `google-workspace` – Deine Calendar/Gmail Integration\n- `youtube-content` – Für deinen YouTube-Kanal\n- `notion` – Dein Notion\n- `openhue` – Smart Home\n- `spotify` – Musik\n- `agent-onboarding` – Das hast du gestern erlebt\n\nSoll ich dir eine Handvoll davon mal genauer zeigen, oder brauchst du erstmal den Überblick?", "reasoning": "Das waren 89 Skills. Das ist eine ganze Menge. Ich sollte die nach Kategorien gruppieren und die Beschreibungen stark kürzen, damit es übersichtlich bleibt." }, { "role": "user", "content": "Aber das heist du hat’s davor ja bereits Browser gehabt, bevor wir den gemacht haben?" }, { "role": "assistant", "content": "Ja, absolut. Der `headless-browser-automation`-Skill war bereits vorher da. Der ist ein **generischer** Skill für \"irgendein headless Linux irgendwo\".\n\nWas wir gestern mit `kiwi-browser-setup` gemacht haben, ist etwas anderes:\n\n| | `headless-browser-automation` (vorher) | `kiwi-browser-setup` (gestern) |\n|---|---|---|\n| **Scope** | Generisch – \"alle headless Linux Systeme\" | **Spezifisch für ZimaOS/CasaOS** |\n| **Inhalt** | Theoretisch – was man braucht, was passen könnte | **Exakt getestet auf deinem System** |\n| **Docker-Befehle** | Beispielhaft | **Die exakten Befehle, die wir live gefunden haben** |\n| **Pfade** | `/usr/bin/chromium` etc. | `/DATA/AppData/hermes/browser/` – **dein echter Pfad** |\n| **Anti-Detection** | Erwähnt | **Exakt konfiguriert mit Stealth-Plugin** |\n\n**Der Unterschied:**\n- Der alte Skill sagt: \"Du brauchst wahrscheinlich Chromium in Docker, versuch mal `--no-sandbox`.\"\n- Der neue Skill sagt: **\"Auf ZimaOS läuft das genau so: Docker run mit diesen Volumes, dieser Port, dieser start-Befehl, und es funktioniert.\"**\n\nEs ist wie der Unterschied zwischen einer generischen Bedienungsanleitung für \"Autos\" und der spezifischen für **deinen** Wagen mit den exakten Knöpfen, die du hast.\n\nGestern haben wir nicht \"einen Browser erfunden\" – wir haben **den generischen Skill für dein konkretes System getestet, validiert und als wiederverwendbares Rezept gespeichert**.\n\nFalls du ihn loswerden willst, sag Bescheid. Sonst bleibt er als \"das funktioniert garantiert auf meinem ZimaOS\"-Referenz da.", "reasoning": "Der User fragt, ob ich bereits einen Browser Skill hatte, bevor wir gestern den \"kiwi-browser-setup\" Skill erstellt/verwendet haben.\n\nLass mich klarstellen:\n1. Ja, es gab bereits `headless-browser-automation` als Skill - das ist ein genereller Skill für Browser-Automation auf headless Linux Systemen.\n2. `kiwi-browser-setup` ist ein spezifischer Skill, den wir gestern für ZIMAOS erstellt/verwendet haben - der auf den generischen aufbaut aber spezifische ZIMAOS/CasaOS Docker-Setup Details enthält.\n\nIch sollte:\n- Ehrlich sein, dass ja, ein Browser-Skill bereits existierte\n- Den Unterschied erklären: der alte ist generisch, der neue ist spezifisch für ZIMAOS\n- Den Nutzen von `kiwi-browser-setup` erklären - es enthält die exakten Docker-Befehle und ZIMAOS-spezifischen Pfade, die wir herausgefunden haben\n\nIch sollte nicht lügen oder verschweigen, dass es bereits einen gab. Der User erwartet ehrliche, direkte Antworten." }, { "role": "user", "content": "Wie schaut es bei dir aus mit coding?" }, { "role": "assistant", "content": "Gute Frage. Hier mein ehrliches Coding-Profil:\n\n**Was ich direkt gut kann:**\n- **Python** – Meine Hauptstärke. Ich kann Code schreiben, ausführen, debuggen, Daten analysieren, APIs bauen.\n- **Shell/Bash** – Server-Setup, Automation, Cron-Jobs, Docker.\n- **Configs & kleine Scripts** – YAML, JSON, ENV-Dateien, Systemd-Services, Nginx, etc.\n- **JavaScript/TypeScript** – Ich kann Next.js/React-Code lesen, verstehen und modifizieren (dein DocMaster z.B.).\n\n**Wie ich arbeite:**\n- Ich lese deine Dateien, verstehe die Struktur, patche gezielt\n- Ich kann bestehenden Code refactoren oder neue Features hinzufügen\n- Ich führe Code aus und sehe direkt, ob er läuft oder crashed\n\n**Wo ich Grenzen habe:**\n- Kein \"IntelliSense\" oder Autocomplete wie in VS Code\n- Kein Live-Browser-Preview für Frontend (außer du schickst Screenshots)\n- Sehr komplexe Architektur-Entscheidungen brauchen mehr Brainpower als ein einzelner Turn\n\n**Mein Geheimwaffe für große Projekte:**\nWenn es wirklich komplex wird (neue App von Scratch, großer Refactor), habe ich drei spezialisierte Agenten als Skills:\n- `claude-code` – Claude Code CLI\n- `codex` – OpenAI Codex CLI \n- `opencode` – OpenCode CLI\n\nDie kann ich als Subagenten spawnen, die dann stundenlang parallel an deinem Code arbeiten. Ich orchestriere, sie coden.\n\n**Für dich konkret:**\n- DocMaster erweitern? ✅ Kann ich direkt.\n- Kleine Scripts für Automation? ✅ Kein Problem.\n- Neue Next.js-Feature? ✅ Lesen, verstehen, bauen.\n- Komplette neue App? 🟡 Besser mit Subagenten oder wir machen es Schritt für Schritt.\n\nWas hättest du gerade gerne gebaut?", "reasoning": "Der User fragt nach meinen Coding-Fähigkeiten. Ich sollte ehrlich und konkret sein, was ich kann und was nicht, und auf relevante Skills verweisen.\n\nIch habe Zugriff auf:\n- terminal (Shell-Befehle)\n- file (Dateien lesen/schreiben/patchen)\n- code_execution (Python ausführen)\n- delegation (subagents für komplexere Coding-Aufgaben)\n- Verschiedene Skills: claude-code, codex, opencode, subagent-driven-development, test-driven-development, systematic-debugging, etc.\n\nIch sollte erwähnen:\n- Python ist meine Stärke (code_execution)\n- JavaScript/TypeScript, Bash, YAML, Config-Files sind gut machbar\n- Für komplexe Projekte kann ich subagents spawnen (claude-code, codex, opencode)\n- Ich kann Dateien lesen, verstehen, modifizieren\n- Ich kann Git workflows machen\n- Aber: Ich bin nicht ein \"IDE\" mit Autocomplete etc. - ich arbeite über Terminal/File-Operationen\n\nWichtig: Ahmed ist non-technical, also nicht zu sehr ins Technische abdriften. Klare, ehrliche Antwort.\n\nLass mich auch prüfen, ob code_execution tool aktiviert ist. In der config.yaml stand:\ntoolsets:\n- hermes-cli\n\nUnd platform_toolsets für cli enthält code_execution. Also ja, es ist verfügbar.\n\nAber ich sollte nicht zu viel versprechen. Ehrliche Einschätzung.\n\nMemory: Ahmed hat DocMaster (Next.js), also JS/TS relevant. Er ist non-technical aber baut Apps. Ich sollte Next.js/React erwähnen als etwas, das ich unterstützen kann.\n\nIch werde eine klare, strukturierte Antwort geben:\n1. Was ich direkt kann (Python, Shell, Configs, kleine Scripts)\n2. Was ich via File/Terminal kann (Codebases lesen, modifizieren, patchen)\n3. Was ich via Delegation kann (komplexe Projekte an spezialisierte Agenten)\n4. Einschränkungen (kein Autocomplete, kein Live-Debugging im Browser)\n5. Für seinen Kontext (Next.js, DocMaster) relevant\n\nSprache: Deutsch, kurz und knackig wie er es mag." }, { "role": "user", "content": "Wie können wir denn Codex verbinden?" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.skill_view:12", "call_id": "functions.skill_view:12", "response_item_id": "fc_functionsskill_view12", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"codex\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Der User möchte wissen, wie man OpenAI Codex CLI mit Hermes verbindet. Ich habe den `codex` Skill in der skills_list gesehen. Lass mich den Skill laden, um die genauen Schritte zu sehen.", "reasoning_content": "Der User möchte wissen, wie man OpenAI Codex CLI mit Hermes verbindet. Ich habe den `codex` Skill in der skills_list gesehen. Lass mich den Skill laden, um die genauen Schritte zu sehen." }, { "role": "tool", "content": "{\"success\": true, \"name\": \"codex\", \"description\": \"Delegate coding to OpenAI Codex CLI (features, PRs).\", \"tags\": [\"Coding-Agent\", \"Codex\", \"OpenAI\", \"Code-Review\", \"Refactoring\"], \"related_skills\": [\"claude-code\", \"hermes-agent\"], \"content\": \"---\\nname: codex\\ndescription: \\\"Delegate coding to OpenAI Codex CLI (features, PRs).\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [Coding-Agent, Codex, OpenAI, Code-Review, Refactoring]\\n related_skills: [claude-code, hermes-agent]\\n---\\n\\n# Codex CLI\\n\\nDelegate coding tasks to [Codex](https://github.com/openai/codex) via the Hermes terminal. Codex is OpenAI's autonomous coding agent CLI.\\n\\n## When to use\\n\\n- Building features\\n- Refactoring\\n- PR reviews\\n- Batch issue fixing\\n\\nRequires the codex CLI and a git repository.\\n\\n## Prerequisites\\n\\n- Codex installed: `npm install -g @openai/codex`\\n- OpenAI auth configured: either `OPENAI_API_KEY` or Codex OAuth credentials\\n from the Codex CLI login flow\\n- **Must run inside a git repository** — Codex refuses to run outside one\\n- Use `pty=true` in terminal calls — Codex is an interactive terminal app\\n\\nFor Hermes itself, `model.provider: openai-codex` uses Hermes-managed Codex\\nOAuth from `~/.hermes/auth.json` after `hermes auth add openai-codex`. For the\\nstandalone Codex CLI, a valid CLI OAuth session may live under\\n`~/.codex/auth.json`; do not treat a missing `OPENAI_API_KEY` alone as proof\\nthat Codex auth is missing.\\n\\n## One-Shot Tasks\\n\\n```\\nterminal(command=\\\"codex exec 'Add dark mode toggle to settings'\\\", workdir=\\\"~/project\\\", pty=true)\\n```\\n\\nFor scratch work (Codex needs a git repo):\\n```\\nterminal(command=\\\"cd $(mktemp -d) && git init && codex exec 'Build a snake game in Python'\\\", pty=true)\\n```\\n\\n## Background Mode (Long Tasks)\\n\\n```\\n# Start in background with PTY\\nterminal(command=\\\"codex exec --full-auto 'Refactor the auth module'\\\", workdir=\\\"~/project\\\", background=true, pty=true)\\n# Returns session_id\\n\\n# Monitor progress\\nprocess(action=\\\"poll\\\", session_id=\\\"\\\")\\nprocess(action=\\\"log\\\", session_id=\\\"\\\")\\n\\n# Send input if Codex asks a question\\nprocess(action=\\\"submit\\\", session_id=\\\"\\\", data=\\\"yes\\\")\\n\\n# Kill if needed\\nprocess(action=\\\"kill\\\", session_id=\\\"\\\")\\n```\\n\\n## Key Flags\\n\\n| Flag | Effect |\\n|------|--------|\\n| `exec \\\"prompt\\\"` | One-shot execution, exits when done |\\n| `--full-auto` | Sandboxed but auto-approves file changes in workspace |\\n| `--yolo` | No sandbox, no approvals (fastest, most dangerous) |\\n\\n## PR Reviews\\n\\nClone to a temp directory for safe review:\\n\\n```\\nterminal(command=\\\"REVIEW=$(mktemp -d) && git clone https://github.com/user/repo.git $REVIEW && cd $REVIEW && gh pr checkout 42 && codex review --base origin/main\\\", pty=true)\\n```\\n\\n## Parallel Issue Fixing with Worktrees\\n\\n```\\n# Create worktrees\\nterminal(command=\\\"git worktree add -b fix/issue-78 /tmp/issue-78 main\\\", workdir=\\\"~/project\\\")\\nterminal(command=\\\"git worktree add -b fix/issue-99 /tmp/issue-99 main\\\", workdir=\\\"~/project\\\")\\n\\n# Launch Codex in each\\nterminal(command=\\\"codex --yolo exec 'Fix issue #78: . Commit when done.'\\\", workdir=\\\"/tmp/issue-78\\\", background=true, pty=true)\\nterminal(command=\\\"codex --yolo exec 'Fix issue #99: . Commit when done.'\\\", workdir=\\\"/tmp/issue-99\\\", background=true, pty=true)\\n\\n# Monitor\\nprocess(action=\\\"list\\\")\\n\\n# After completion, push and create PRs\\nterminal(command=\\\"cd /tmp/issue-78 && git push -u origin fix/issue-78\\\")\\nterminal(command=\\\"gh pr create --repo user/repo --head fix/issue-78 --title 'fix: ...' --body '...'\\\")\\n\\n# Cleanup\\nterminal(command=\\\"git worktree remove /tmp/issue-78\\\", workdir=\\\"~/project\\\")\\n```\\n\\n## Batch PR Reviews\\n\\n```\\n# Fetch all PR refs\\nterminal(command=\\\"git fetch origin '+refs/pull/*/head:refs/remotes/origin/pr/*'\\\", workdir=\\\"~/project\\\")\\n\\n# Review multiple PRs in parallel\\nterminal(command=\\\"codex exec 'Review PR #86. git diff origin/main...origin/pr/86'\\\", workdir=\\\"~/project\\\", background=true, pty=true)\\nterminal(command=\\\"codex exec 'Review PR #87. git diff origin/main...origin/pr/87'\\\", workdir=\\\"~/project\\\", background=true, pty=true)\\n\\n# Post results\\nterminal(command=\\\"gh pr comment 86 --body ''\\\", workdir=\\\"~/project\\\")\\n```\\n\\n## Rules\\n\\n1. **Always use `pty=true`** — Codex is an interactive terminal app and hangs without a PTY\\n2. **Git repo required** — Codex won't run outside a git directory. Use `mktemp -d && git init` for scratch\\n3. **Use `exec` for one-shots** — `codex exec \\\"prompt\\\"` runs and exits cleanly\\n4. **`--full-auto` for building** — auto-approves changes within the sandbox\\n5. **Background for long tasks** — use `background=true` and monitor with `process` tool\\n6. **Don't interfere** — monitor with `poll`/`log`, be patient with long-running tasks\\n7. **Parallel is fine** — run multiple Codex processes at once for batch work\\n\", \"path\": \"autonomous-ai-agents/codex/SKILL.md\", \"skill_dir\": \"/DATA/AppData/hermes/skills/autonomous-ai-agents/codex\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"Coding-Agent\", \"Codex\", \"OpenAI\", \"Code-Review\", \"Refactoring\"], \"related_skills\": [\"claude-code\", \"hermes-agent\"]}}}", "tool_call_id": "functions.skill_view:12" }, { "role": "assistant", "content": "Hier die Optionen, aber mit einem wichtigen Disclaimer vorweg:\n\n**Codex braucht OpenAI.** Das kostet Geld (API-Nutzung). Gleiches gilt für Claude Code. Ich will nicht einfach loslegen, ohne dass du das weißt.\n\n| Agent | Was braucht's | Kosten | Stärke |\n|-------|---------------|--------|--------|\n| **Codex** (OpenAI) | `npm install -g @openai/codex` + OpenAI API Key oder OAuth | Pay-per-use | Sehr stark, sandboxed |\n| **Claude Code** (Anthropic) | `claude` CLI installieren + API Key | Pay-per-use | Extrem stark, mein Favorit |\n| **OpenCode** | `opencode` CLI + eigener API Key | Kommt drauf an | Open-Source, flexibel |\n\n**Was du brauchst, um Codex zu verbinden:**\n\n1. `npm install -g @openai/codex` (Node.js muss laufen)\n2. `hermes auth add openai-codex` (für OAuth-Login) oder `OPENAI_API_KEY` in `.env`\n\n**Meine ehrliche Empfehlung:**\nWenn du bereit bist zu zahlen: **Claude Code** ist in meinen Augen besser als Codex. Claude \"versteht\" komplexe Architektur besser, refactort sauberer.\n\nWenn du kostenlos bleiben willst: **OpenCode** mit einem günstigen Provider (z.B. OpenRouter) ist die bessere Wahl als reines OpenAI-Codex.\n\n**Frage an dich:**\n1. Hast du bereit einen OpenAI API Key oder Anthropic Key?\n2. Oder willst du einen günstigen Provider (OpenRouter, etc.) nutzen?\n3. Oder soll ich erstmal nur mit **mir selbst** (kimi-k2.6, kostenlos) coden, und wir sparen die externen Agenten für später auf?\n\nSag mir deine Präferenz, dann installieren wir den Richtigen.", "reasoning": "Der Skill ist geladen. Jetzt muss ich ehrlich sein: Codex braucht OpenAI OAuth oder einen API Key. Das ist ein externer Service, der Geld kostet (wahrscheinlich). Ich sollte den User fragen, ob er das will, statt einfach loszulegen.\n\nLass mich die Optionen klar aufzeigen:\n\n1. **Codex (OpenAI)** – Braucht `npm install -g @openai/codex` + OpenAI OAuth/API Key. Kostet Geld, sehr mächtig.\n2. **Claude Code** – Braucht `claude` CLI + Anthropic API Key oder Claude Pro. Auch kostenpflichtig, sehr stark.\n3. **OpenCode** – Open-source Alternative, braucht eigenen API Key.\n\nIch sollte fragen, welchen er bevorzugt und ob er bereit ist, dafür zu zahlen, bevor ich irgendwas installiere." }, { "role": "user", "content": "Ich habe einen OpenAI Account und das normale Abo. Ich habe gelesen man kann auch das nutzen ohne API. Recherchiere das mal und finde eine Lösung" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.web:13", "call_id": "functions.web:13", "response_item_id": "fc_functionsweb13", "type": "function", "function": { "name": "web", "arguments": "{\"queries\":[\"Codex CLI ChatGPT Plus without API key 2025 2026\",\"OpenAI Codex CLI requires API key or ChatGPT subscription\",\"Codex CLI OAuth ChatGPT Plus free access\",\"codex exec without API key ChatGPT subscription\"]}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Nutzer hat ein normales OpenAI-Abo (ChatGPT Plus/Pro) und möchte Codex CLI nutzen, ohne extra API-Kosten. Ich muss recherchieren, ob das normale ChatGPT-Abo für Codex CLI ausreicht, oder ob zwingend ein API-Key / API-Credits benötigt werden.\n\nDas ist eine wichtige Unterscheidung:\n- ChatGPT Plus/Pro = Web/App-Zugang, keine API-Nutzung\n- OpenAI API = separate Kosten, Pay-as-you-go\n- Codex CLI könnte über OAuth mit ChatGPT-Account verbunden sein, aber das muss ich prüfen\n\nIch sollte das web-suchen und in der Hermes-Doku checken.", "reasoning_content": "Der Nutzer hat ein normales OpenAI-Abo (ChatGPT Plus/Pro) und möchte Codex CLI nutzen, ohne extra API-Kosten. Ich muss recherchieren, ob das normale ChatGPT-Abo für Codex CLI ausreicht, oder ob zwingend ein API-Key / API-Credits benötigt werden.\n\nDas ist eine wichtige Unterscheidung:\n- ChatGPT Plus/Pro = Web/App-Zugang, keine API-Nutzung\n- OpenAI API = separate Kosten, Pay-as-you-go\n- Codex CLI könnte über OAuth mit ChatGPT-Account verbunden sein, aber das muss ich prüfen\n\nIch sollte das web-suchen und in der Hermes-Doku checken." }, { "role": "tool", "content": "Tool 'web' does not exist. Available tools: clarify, cronjob, delegate_task, execute_code, memory, patch, process, read_file, search_files, send_message, session_search, skill_manage, skill_view, skills_list, terminal, text_to_speech, todo, vision_analyze, write_file", "tool_call_id": "functions.web:13" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.terminal:14", "call_id": "functions.terminal:14", "response_item_id": "fc_functionsterminal14", "type": "function", "function": { "name": "terminal", "arguments": "{\"timeout\":15,\"command\":\"ls -la ~/.codex/ 2\\u003e/dev/null || echo \\\"No .codex dir\\\"; ls -la ~/.npm-packages/bin/codex 2\\u003e/dev/null || which codex 2\\u003e/dev/null || echo \\\"codex not in PATH\\\"; node --version 2\\u003e/dev/null || echo \\\"no node\\\"\"}" } }, { "id": "functions.terminal:15", "call_id": "functions.terminal:15", "response_item_id": "fc_functionsterminal15", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -sL \\\"https://raw.githubusercontent.com/openai/codex/main/README.md\\\" | head -200\",\"timeout\":30}" } } ], "finish_reason": "tool_calls", "reasoning": "Der user will, dass ich recherchiere, ob man Codex CLI mit ChatGPT Plus (ohne API Key) nutzen kann. Ich habe kein `web_search` Tool, aber ich habe `terminal` mit curl und `search_files` (für lokale Recherche). \n\nLass mich das anders angehen:\n1. Ich kann mit curl die OpenAI Docs abrufen\n2. Ich kann im Skill nachschauen - der Codex Skill sagt: \"For the standalone Codex CLI, a valid CLI OAuth session may live under ~/.codex/auth.json; do not treat a missing OPENAI_API_KEY alone as proof that Codex auth is missing.\"\n\nDer Skill erwähnt bereits OAuth! Das ist der Schlüssel. ChatGPT Plus User können sich über OAuth bei Codex CLI anmelden, ohne API Key.\n\nAber ich sollte das verifizieren - entweder durch Web-Recherche via curl oder durch lokale Checks. Lass mich erstmal schauen, ob auf dem System bereits Codex installiert ist oder ein Auth-File existiert, und dann mit curl die aktuelle OpenAI-Doku abrufen.", "reasoning_content": "Der user will, dass ich recherchiere, ob man Codex CLI mit ChatGPT Plus (ohne API Key) nutzen kann. Ich habe kein `web_search` Tool, aber ich habe `terminal` mit curl und `search_files` (für lokale Recherche). \n\nLass mich das anders angehen:\n1. Ich kann mit curl die OpenAI Docs abrufen\n2. Ich kann im Skill nachschauen - der Codex Skill sagt: \"For the standalone Codex CLI, a valid CLI OAuth session may live under ~/.codex/auth.json; do not treat a missing OPENAI_API_KEY alone as proof that Codex auth is missing.\"\n\nDer Skill erwähnt bereits OAuth! Das ist der Schlüssel. ChatGPT Plus User können sich über OAuth bei Codex CLI anmelden, ohne API Key.\n\nAber ich sollte das verifizieren - entweder durch Web-Recherche via curl oder durch lokale Checks. Lass mich erstmal schauen, ob auf dem System bereits Codex installiert ist oder ein Auth-File existiert, und dann mit curl die aktuelle OpenAI-Doku abrufen." }, { "role": "tool", "content": "{\"output\": \"No .codex dir\\ncodex not in PATH\\nno node\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "functions.terminal:14" }, { "role": "tool", "content": "{\"output\": \"

npm i -g @openai/codex
or brew install --cask codex

\\n

Codex CLI is a coding agent from OpenAI that runs locally on your computer.\\n

\\n \\\"Codex\\n

\\n
\\nIf you want Codex in your code editor (VS Code, Cursor, Windsurf), install in your IDE.\\n
If you want the desktop app experience, run codex app or visit the Codex App page.\\n
If you are looking for the cloud-based agent from OpenAI, Codex Web, go to chatgpt.com/codex.

\\n\\n---\\n\\n## Quickstart\\n\\n### Installing and running Codex CLI\\n\\nInstall globally with your preferred package manager:\\n\\n```shell\\n# Install using npm\\nnpm install -g @openai/codex\\n```\\n\\n```shell\\n# Install using Homebrew\\nbrew install --cask codex\\n```\\n\\nThen simply run `codex` to get started.\\n\\n
\\nYou can also go to the latest GitHub Release and download the appropriate binary for your platform.\\n\\nEach GitHub Release contains many executables, but in practice, you likely want one of these:\\n\\n- macOS\\n - Apple Silicon/arm64: `codex-aarch64-apple-darwin.tar.gz`\\n - x86_64 (older Mac hardware): `codex-x86_64-apple-darwin.tar.gz`\\n- Linux\\n - x86_64: `codex-x86_64-unknown-linux-musl.tar.gz`\\n - arm64: `codex-aarch64-unknown-linux-musl.tar.gz`\\n\\nEach archive contains a single entry with the platform baked into the name (e.g., `codex-x86_64-unknown-linux-musl`), so you likely want to rename it to `codex` after extracting it.\\n\\n
\\n\\n### Using Codex with your ChatGPT plan\\n\\nRun `codex` and select **Sign in with ChatGPT**. We recommend signing into your ChatGPT account to use Codex as part of your Plus, Pro, Business, Edu, or Enterprise plan. [Learn more about what's included in your ChatGPT plan](https://help.openai.com/en/articles/11369540-codex-in-chatgpt).\\n\\nYou can also use Codex with an API key, but this requires [additional setup](https://developers.openai.com/codex/auth#sign-in-with-an-api-key).\\n\\n## Docs\\n\\n- [**Codex Documentation**](https://developers.openai.com/codex)\\n- [**Contributing**](./docs/contributing.md)\\n- [**Installing & building**](./docs/install.md)\\n- [**Open source fund**](./docs/open-source-fund.md)\\n\\nThis repository is licensed under the [Apache-2.0 License](LICENSE).\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "functions.terminal:15" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.terminal:16", "call_id": "functions.terminal:16", "response_item_id": "fc_functionsterminal16", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -sL \\\"https://developers.openai.com/codex/auth\\\" | grep -i \\\"chatgpt\\\\|plus\\\\|subscription\\\\|api key\\\\|sign in\\\" | head -30\",\"timeout\":30}" } }, { "id": "functions.terminal:17", "call_id": "functions.terminal:17", "response_item_id": "fc_functionsterminal17", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"uname -m\",\"timeout\":5}" } } ], "finish_reason": "tool_calls", "reasoning": "Aha! Das ist die wichtigste Information. Die README sagt explizit:\n\n**\"We recommend signing into your ChatGPT account to use Codex as part of your Plus, Pro, Business, Edu, or Enterprise plan.\"**\n\nDas bedeutet: **Ja, man kann Codex mit ChatGPT Plus/Pro nutzen, ohne API Key!** Man loggt sich einfach mit dem ChatGPT-Account ein.\n\nJetzt muss ich prüfen:\n1. Ist Node.js auf dem System installiert? (Nein, laut vorheriger Ausgabe)\n2. Wie installieren wir Codex am besten auf ZimaOS?\n\nDie GitHub Releases zeigen: Es gibt fertige Binaries für Linux x86_64 und arm64. Das wäre die einfachste Option ohne npm/Node.js-Dependency.\n\nAber warte - ich sehe auch, dass Hermes selbst `hermes auth add openai-codex` unterstützt, was OAuth-basiert ist. Das wäre für ChatGPT-Login der richtige Weg.\n\nLass mich das weiter recherchieren und dann den Installationsplan aufstellen.", "reasoning_content": "Aha! Das ist die wichtigste Information. Die README sagt explizit:\n\n**\"We recommend signing into your ChatGPT account to use Codex as part of your Plus, Pro, Business, Edu, or Enterprise plan.\"**\n\nDas bedeutet: **Ja, man kann Codex mit ChatGPT Plus/Pro nutzen, ohne API Key!** Man loggt sich einfach mit dem ChatGPT-Account ein.\n\nJetzt muss ich prüfen:\n1. Ist Node.js auf dem System installiert? (Nein, laut vorheriger Ausgabe)\n2. Wie installieren wir Codex am besten auf ZimaOS?\n\nDie GitHub Releases zeigen: Es gibt fertige Binaries für Linux x86_64 und arm64. Das wäre die einfachste Option ohne npm/Node.js-Dependency.\n\nAber warte - ich sehe auch, dass Hermes selbst `hermes auth add openai-codex` unterstützt, was OAuth-basiert ist. Das wäre für ChatGPT-Login der richtige Weg.\n\nLass mich das weiter recherchieren und dann den Installationsplan aufstellen." }, { "role": "tool", "content": "{\"output\": \"
\\\"OpenAI
API Dashboard