{ "session_id": "20260507_122000_f6a806", "model": "kimi-k2.6", "base_url": "https://ollama.com/v1", "platform": "telegram", "session_start": "2026-05-07T12:20:00.768568", "last_updated": "2026-05-07T12:21:27.099455", "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save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked.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## 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 - kanban-orchestrator: Decomposition playbook + specialist-roster conventions + ...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\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 - 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: Thursday, May 07, 2026 12:20 PM\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": 32, "messages": [ { "role": "user", "content": "Hello" }, { "role": "user", "content": "Hello" }, { "role": "user", "content": "Test" }, { "role": "user", "content": "Test" }, { "role": "user", "content": "Hallo" }, { "role": "assistant", "content": "Hallo Ahmed! 👋 I'm here and ready to help. What can I do for you today?", "reasoning": "The user has sent several greetings: \"Hello\", \"Test\", \"Hallo\". They seem to be testing if I'm responding. I should reply in a friendly, helpful manner. Since the user is Ahmed Zeyd Aytac and this is a Telegram DM, I'll keep it concise but welcoming." }, { "role": "user", "content": "Lass uns auf Deutsch weiter reden" }, { "role": "assistant", "content": "Hallo Ahmed! Klar, lass uns auf Deutsch weitermachen. Ich bin bereit – was kann ich für dich tun?", "reasoning": "Der Benutzer möchte auf Deutsch weitermachen. Das ist eine einfache Anweisung, keine komplexe Aufgabe. Ich sollte auf Deutsch antworten und bestätigen, dass ich bereit bin, auf Deutsch zu kommunizieren." }, { "role": "user", "content": "Ich habe dich gerade zum ersten Mal gestartet. Führe mich durch ein gutes SetUp" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.skill_view:0", "call_id": "functions.skill_view:0", "response_item_id": "fc_functionsskill_view0", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"hermes-agent\"}" } } ], "finish_reason": "tool_calls", "reasoning": "The user wants a good setup for Hermes Agent, as it's their first time starting. I should load the `hermes-agent` skill first since this is about configuring and using Hermes Agent itself.\n\nLet me load the skill and then guide them through a good setup.", "reasoning_content": "The user wants a good setup for Hermes Agent, as it's their first time starting. I should load the `hermes-agent` skill first since this is about configuring and using Hermes Agent itself.\n\nLet me load the skill and then guide them through a good setup." }, { "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---\\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---\\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### 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\": 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\": [\"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:0" }, { "role": "assistant", "content": "Hallo Ahmed! 🎉 Schön, dass du Hermes Agent startest. Ich habe gerade die komplette Dokumentation geladen — lass mich dich durch das optimale Setup führen.\n\nGute Nachrichten zuerst: **Dein Telegram-Gateway läuft bereits** — wir reden gerade schon über die Plattform! ✅\n\nHier ist die Roadmap für ein starkes Setup:\n\n---\n\n### 🔧 1. Provider & Modell einrichten\nDas Wichtigste zuerst — ohne API-Key kann ich nicht antworten.\n\n**Empfohlene Optionen:**\n- **OpenRouter** (universell, viele Modelle) — `OPENROUTER_API_KEY`\n- **Anthropic Claude** — `ANTHROPIC_API_KEY`\n- **Google Gemini** (guter Free-Tier) — `GOOGLE_API_KEY`\n\n**Wie du es machst:**\n```bash\nhermes setup model\n```\noder direkt:\n```bash\nhermes config set model.provider openrouter\nhermes config set model.default anthropic/claude-sonnet-4\n```\n\nHast du schon einen API-Key für einen LLM-Provider? Wenn ja, welchen?\n\n---\n\n### 🛠️ 2. Tools aktivieren\nJe nachdem, was du mit mir machen willst, sollten wir die richtigen Werkzeuge einschalten:\n\n| Was du willst | Toolset |\n|---------------|---------|\n| Code schreiben, Terminal, Dateien | `terminal`, `file`, `code_execution` |\n| Recherche im Internet | `web`, `browser` |\n| Bilder analysieren/generieren | `vision`, `image_gen` |\n| Erinnerungen über Sessions | `memory` |\n| Automatisierte Aufgaben | `cronjob` |\n| Sprachnachrichten | `tts` |\n\n**Aktivieren:**\n```bash\nhermes tools enable terminal\nhermes tools enable file\nhermes tools enable web\nhermes tools enable memory\n```\n\n---\n\n### 🧠 3. Memory einschalten\nDamit ich mich an dich, deine Projekte und Vorlieben erinnere — auch über Wochen hinweg.\n\n```bash\nhermes memory setup\n```\n\n---\n\n### 📚 4. Nützliche Skills installieren\nSkills sind mein \"Fachwissen\" für bestimmte Aufgaben. Empfohlene Starter-Skills:\n\n```bash\nhermes skills install github-pr-workflow\nhermes skills install plan\nhermes skills install debugging-hermes-tui-commands\n```\n\n---\n\n### 🩺 5. Health-Check\n```bash\nhermes doctor\n```\n\n---\n\n**Was ist dein Haupt-Anwendungsfall?** Zum Beispiel:\n- Software-Entwicklung\n- Recherche & Analyse\n- System-Administration\n- Content Creation\n- Automatisierung\n\nSag mir Bescheid, dann priorisiere ich das Setup dafür! 😊", "reasoning": "Der Benutzer hat mich zum ersten Mal gestartet und möchte ein gutes Setup. Ich habe das `hermes-agent` Skill geladen und sehe jetzt alle relevanten Informationen. Lass mich ihn durch das Setup führen.\n\nEr ist auf Telegram (aus dem Session Context). Ich sollte:\n1. Den Setup-Wizard erklären\n2. Wichtige Erste-Schritte durchgehen\n3. Ihn fragen, was er priorisieren möchte\n\nIch sollte die wichtigsten Setup-Schritte in einer klaren Reihenfolge darlegen:\n1. API-Key / Provider konfigurieren\n2. Gateway (Telegram ist schon verbunden!)\n3. Tools aktivieren\n4. Memory einrichten\n5. Skills installieren\n\nIch sehe aus dem Context, dass er bereits auf Telegram verbunden ist (\"Connected Platforms: telegram: Connected ✓\"). Das Gateway läuft also schon!\n\nWichtig: Der Benutzer spricht Deutsch, also bleibe ich auf Deutsch." }, { "role": "user", "content": "Läufst du nicht aktuell schon mit einem API Key? Du solltest auf Kimi K2.6 laufen." }, { "role": "assistant", "content": "Stimmt, guter Punkt! 😄\n\nDu hast recht — ich laufe **bereits auf Kimi K2.6 über den `kimi-coding`-Provider**. Das Gateway und die API-Verbindung sind also schon konfiguriert und funktionieren. Wir reden ja gerade miteinander!\n\nDas heißt, **Schritt 1 (Provider & Modell) ist bereits erledigt** ✅\n\nLass uns die Schritte überspringen, die bereits laufen, und direkt zu den Dingen gehen, die dein Setup noch **deutlich besser** machen:\n\n---\n\n### 🛠️ Noch offen: Tools aktivieren\nIch habe aktuell ein Basis-Set an Werkzeugen, aber je nachdem, was du vorhast, sollten wir gezielt nachrüsten:\n\n```bash\nhermes tools enable terminal # Shell-Befehle, Git, Builds\nhermes tools enable file # Dateien lesen/schreiben/editieren\nhermes tools enable web # Internet-Recherche\nhermes tools enable code_execution # Python direkt ausführen\nhermes tools enable browser # Webseiten browsen (tiefer als nur Suche)\nhermes tools enable vision # Bilder analysieren\nhermes tools enable memory # Erinnerungen über Sessions hinweg\nhermes tools enable cronjob # Automatisierte/geplante Aufgaben\nhermes tools enable delegation # Parallele Sub-Agenten für große Aufgaben\nhermes tools enable session_search # Vergangene Chats durchsuchen\n```\n\n**Welche 3-4 davon sind für dich am wichtigsten?** Ich kann sie dann direkt aktivieren.\n\n---\n\n### 🧠 Memory einschalten (sehr empfohlen!)\nDamit ich mich an deinen Namen, deinen Stil, deine Projekte und Vorlieben erinnere — auch wenn morgen eine neue Session startet.\n\n```bash\nhermes memory setup\n```\n\n---\n\n### 📚 Starter-Skills installieren\nSkills = mein Fachwissen für bestimmte Aufgaben. Für den Anfang empfohlen:\n\n```bash\nhermes skills install plan # Implementierungspläne schreiben\nhermes skills install github-pr-workflow # GitHub PRs erstellen & managen\nhermes skills install systematic-debugging # Methodisch debuggen\nhermes skills install subagent-driven-development # Große Aufgaben aufteilen\n```\n\n---\n\nSoll ich die Tool-Aktivierung und Memory-Setup direkt für dich durchführen? Oder willst du erst wissen, was jedes Tool genau macht?", "reasoning": "The user is asking if I'm not already running with an API key, specifically mentioning I should be running on Kimi K2.6.\n\nLooking at the system prompt at the top of the conversation:\n- Model: kimi-k2.6\n- Provider: kimi-coding\n\nSo yes, I am already running with a configured model/provider. The user is pointing out that the setup step about API keys is somewhat redundant since we're already talking - the gateway is working.\n\nI should acknowledge this, explain that the gateway/admin already configured the provider, but there are still other useful setup steps (tools, memory, skills) that would improve the experience. I should also perhaps check what the current config looks like or just guide them to the remaining setup steps that are actually useful.\n\nThe user is German-speaking, so I should respond in German." }, { "role": "user", "content": "Also zu erst check bitte mal deine Umgbung, damit du weißt wo du läufst" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.execute_code:1", "call_id": "functions.execute_code:1", "response_item_id": "fc_functionsexecute_code1", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"from hermes_tools import terminal, read_file, search_files\\nimport json\\n\\nprint(\\\"=== SYSTEM-INFO ===\\\")\\nr = terminal(\\\"whoami \\u0026\\u0026 echo '---' \\u0026\\u0026 pwd \\u0026\\u0026 echo '---' \\u0026\\u0026 uname -a \\u0026\\u0026 echo '---' \\u0026\\u0026 echo $HERMES_HOME\\\")\\nprint(r.get(\\\"output\\\", \\\"Fehler\\\"))\\n\\nprint(\\\"\\\\n=== HERMES STATUS ===\\\")\\nr = terminal(\\\"hermes status --all 2\\u003e\\u00261 || true\\\")\\nprint(r.get(\\\"output\\\", \\\"Fehler\\\"))\\n\\nprint(\\\"\\\\n=== HERMES CONFIG (Auszug) ===\\\")\\nr = terminal(\\\"hermes config 2\\u003e\\u00261 || true\\\")\\nprint(r.get(\\\"output\\\", \\\"Fehler\\\"))\\n\\nprint(\\\"\\\\n=== AKTIVE TOOLSETS ===\\\")\\nr = terminal(\\\"hermes tools list 2\\u003e\\u00261 || true\\\")\\nprint(r.get(\\\"output\\\", \\\"Fehler\\\"))\\n\\nprint(\\\"\\\\n=== INSTALLIERTE SKILLS ===\\\")\\nr = terminal(\\\"hermes skills list 2\\u003e\\u00261 || true\\\")\\nprint(r.get(\\\"output\\\", \\\"Fehler\\\"))\\n\\nprint(\\\"\\\\n=== MEMORY STATUS ===\\\")\\nr = terminal(\\\"hermes memory status 2\\u003e\\u00261 || true\\\")\\nprint(r.get(\\\"output\\\", \\\"Fehler\\\"))\\n\\nprint(\\\"\\\\n=== DOCTOR (Checks) ===\\\")\\nr = terminal(\\\"hermes doctor 2\\u003e\\u00261 || true\\\")\\nprint(r.get(\\\"output\\\", \\\"Fehler\\\"))\\n\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Der User möchte, dass ich meine Umgebung prüfe. Ich soll schauen, wo ich laufe, welche Tools verfügbar sind, welche Konfiguration aktiv ist, etc. Lass mich das systematisch tun.\n\nIch sollte:\n1. Die aktive Konfiguration checken (config.yaml)\n2. Die aktiven/enabled Toolsets prüfen\n3. Die verfügbaren Skills checken\n4. Die Environment-Variablen prüfen (zumindest was relevant ist)\n5. Die System-Info (OS, etc.)\n6. Memory-Status prüfen\n\nIch kann dafür `execute_code` verwenden und die hermes_tools importieren, oder direkt terminal Befehle nutzen. Am besten mache ich beides: `hermes config`, `hermes tools list`, `hermes skills list`, `hermes status`, `hermes doctor` etc.\n\nAber vorsichtig: `hermes doctor` könnte viel Output produzieren. Ich sollte gezielt vorgehen.\n\nAm besten nutze ich `execute_code` um mehrere Prüfungen parallel-artig zu machen, oder einfach mehrere `terminal` Aufrufe. Da `execute_code` Python ist und ich dort `terminal` aus `hermes_tools` nutzen kann, ist das effizient.\n\nLass mich ein Python-Skript schreiben, das:\n- `hermes config` aufruft\n- `hermes tools list` aufruft\n- `hermes skills list` aufruft\n- `hermes status` aufruft\n- `hermes memory status` aufruft (falls verfügbar)\n- `whoami`, `pwd`, `uname -a` für System-Info\n- `echo $HERMES_HOME` oder default prüfen\n\nIch muss aufpassen, dass ich keine Secrets leake. `hermes config` zeigt manchmal API-Keys maskiert, aber ich sollte trotzdem vorsichtig sein.\n\nAber eigentlich kann ich das alles über `execute_code` mit `terminal()` machen. Lass mich das machen.", "reasoning_content": "Der User möchte, dass ich meine Umgebung prüfe. Ich soll schauen, wo ich laufe, welche Tools verfügbar sind, welche Konfiguration aktiv ist, etc. Lass mich das systematisch tun.\n\nIch sollte:\n1. Die aktive Konfiguration checken (config.yaml)\n2. Die aktiven/enabled Toolsets prüfen\n3. Die verfügbaren Skills checken\n4. Die Environment-Variablen prüfen (zumindest was relevant ist)\n5. Die System-Info (OS, etc.)\n6. Memory-Status prüfen\n\nIch kann dafür `execute_code` verwenden und die hermes_tools importieren, oder direkt terminal Befehle nutzen. Am besten mache ich beides: `hermes config`, `hermes tools list`, `hermes skills list`, `hermes status`, `hermes doctor` etc.\n\nAber vorsichtig: `hermes doctor` könnte viel Output produzieren. Ich sollte gezielt vorgehen.\n\nAm besten nutze ich `execute_code` um mehrere Prüfungen parallel-artig zu machen, oder einfach mehrere `terminal` Aufrufe. Da `execute_code` Python ist und ich dort `terminal` aus `hermes_tools` nutzen kann, ist das effizient.\n\nLass mich ein Python-Skript schreiben, das:\n- `hermes config` aufruft\n- `hermes tools list` aufruft\n- `hermes skills list` aufruft\n- `hermes status` aufruft\n- `hermes memory status` aufruft (falls verfügbar)\n- `whoami`, `pwd`, `uname -a` für System-Info\n- `echo $HERMES_HOME` oder default prüfen\n\nIch muss aufpassen, dass ich keine Secrets leake. `hermes config` zeigt manchmal API-Keys maskiert, aber ich sollte trotzdem vorsichtig sein.\n\nAber eigentlich kann ich das alles über `execute_code` mit `terminal()` machen. Lass mich das machen." }, { "role": "tool", "content": "{\"status\": \"success\", \"output\": \"=== SYSTEM-INFO ===\\naz-a\\n---\\n/DATA/AppData\\n---\\nLinux ZimaOS 6.12.25 #3 SMP PREEMPT_DYNAMIC Mon Apr 20 05:09:01 UTC 2026 x86_64 GNU/Linux\\n---\\n/DATA/AppData/hermes\\n\\n=== HERMES STATUS ===\\n/usr/bin/bash: line 3: hermes: command not found\\n\\n=== HERMES CONFIG (Auszug) ===\\n/usr/bin/bash: line 3: hermes: command not found\\n\\n=== AKTIVE TOOLSETS ===\\n/usr/bin/bash: line 3: hermes: command not found\\n\\n=== INSTALLIERTE SKILLS ===\\n/usr/bin/bash: line 3: hermes: command not found\\n\\n=== MEMORY STATUS ===\\n/usr/bin/bash: line 3: hermes: command not found\\n\\n=== DOCTOR (Checks) ===\\n/usr/bin/bash: line 3: hermes: command not found\\n\", \"tool_calls_made\": 7, \"duration_seconds\": 2.42}", "tool_call_id": "functions.execute_code:1" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.execute_code:2", "call_id": "functions.execute_code:2", "response_item_id": "fc_functionsexecute_code2", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"from hermes_tools import terminal, read_file, search_files\\nimport os, json\\n\\nhome = os.environ.get('HERMES_HOME', '/DATA/AppData/hermes')\\nprint(f\\\"HERMES_HOME: {home}\\\")\\nprint(f\\\"Existiert: {os.path.exists(home)}\\\")\\n\\n# Inhalt HERMES_HOME\\nif os.path.exists(home):\\n print(\\\"\\\\n=== Inhalt HERMES_HOME ===\\\")\\n r = terminal(f\\\"ls -la {home}\\\")\\n print(r.get(\\\"output\\\",\\\"\\\"))\\n\\n# Hermes CLI suchen\\nprint(\\\"\\\\n=== Hermes CLI suchen ===\\\")\\nfor path in [\\\"~/.local/bin/hermes\\\", \\\"/usr/local/bin/hermes\\\", \\\"/usr/bin/hermes\\\", \\\"/DATA/AppData/hermes/hermes-agent/hermes\\\", \\\"/DATA/AppData/hermes/venv/bin/hermes\\\", \\\"/opt/hermes/bin/hermes\\\"]:\\n r = terminal(f\\\"ls -la {path} 2\\u003e/dev/null || echo 'nicht da'\\\")\\n print(f\\\"{path}: {r['output'].strip()}\\\")\\n\\n# Prozesse suchen\\nprint(\\\"\\\\n=== Laufende Hermes-Prozesse ===\\\")\\nr = terminal(\\\"ps aux | grep -i hermes | grep -v grep || true\\\")\\nprint(r.get(\\\"output\\\",\\\"keine\\\"))\\n\\n# Docker?\\nprint(\\\"\\\\n=== Docker Container ===\\\")\\nr = terminal(\\\"docker ps --format '{{.Names}} {{.Image}} {{.Status}}' 2\\u003e/dev/null | grep -i hermes || true\\\")\\nprint(r.get(\\\"output\\\",\\\"keine\\\"))\\n\\n# Systemd?\\nprint(\\\"\\\\n=== Systemd Services ===\\\")\\nr = terminal(\\\"systemctl --user list-units --type=service --state=running 2\\u003e/dev/null | grep -i hermes || true\\\")\\nprint(r.get(\\\"output\\\",\\\"keine\\\"))\\nr = terminal(\\\"systemctl list-units --type=service --state=running 2\\u003e/dev/null | grep -i hermes || true\\\")\\nprint(\\\"system (root):\\\", r.get(\\\"output\\\",\\\"keine\\\"))\\n\\n# Config finden\\nprint(\\\"\\\\n=== Config suchen ===\\\")\\nr = terminal(f\\\"find {home} -maxdepth 2 -name 'config.yaml' 2\\u003e/dev/null\\\")\\nprint(r.get(\\\"output\\\",\\\"\\\"))\\n\\n# .env finden\\nprint(\\\"\\\\n=== .env suchen ===\\\")\\nr = terminal(f\\\"find {home} -maxdepth 2 -name '.env' 2\\u003e/dev/null\\\")\\nprint(r.get(\\\"output\\\",\\\"\\\"))\\n\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Ah, `hermes` CLI ist nicht im PATH. Aber wir wissen, dass HERMES_HOME=/DATA/AppData/hermes. Das ist das Hermes-Verzeichnis. Vermutlich ist Hermes als Docker-Container oder systemd-Service laufen, nicht als lokales CLI.\n\nIch muss tiefer graben:\n1. Den Hermes-Installationstyp herausfinden (Docker? Systemd? Python venv?)\n2. Den config.yaml finden und lesen\n3. Die .env finden und lesen (ohne Secrets zu leaken!)\n4. Prüfen, ob der Gateway-Prozess läuft\n5. Skills-Verzeichnis inspizieren\n6. Sessions-Verzeichnis inspizieren\n\nIch soll auch checken, ob es einen Python-venv gibt oder Hermes als Docker läuft.", "reasoning_content": "Ah, `hermes` CLI ist nicht im PATH. Aber wir wissen, dass HERMES_HOME=/DATA/AppData/hermes. Das ist das Hermes-Verzeichnis. Vermutlich ist Hermes als Docker-Container oder systemd-Service laufen, nicht als lokales CLI.\n\nIch muss tiefer graben:\n1. Den Hermes-Installationstyp herausfinden (Docker? Systemd? Python venv?)\n2. Den config.yaml finden und lesen\n3. Die .env finden und lesen (ohne Secrets zu leaken!)\n4. Prüfen, ob der Gateway-Prozess läuft\n5. Skills-Verzeichnis inspizieren\n6. Sessions-Verzeichnis inspizieren\n\nIch soll auch checken, ob es einen Python-venv gibt oder Hermes als Docker läuft." }, { "role": "tool", "content": "{\"status\": \"success\", \"output\": \"HERMES_HOME: /DATA/AppData/hermes\\nExistiert: True\\n\\n=== Inhalt HERMES_HOME ===\\ntotal 3160\\ndrwx------ 12 az-a samba 4096 May 7 12:16 .\\ndrwxrwxrwx 18 root root 4096 May 7 12:07 ..\\n-rw------- 1 az-a samba 714 May 7 12:06 auth.json\\n-rw-r--r-- 1 az-a samba 0 May 7 12:06 auth.lock\\ndrwxr-xr-x 2 az-a samba 4096 May 7 12:05 bin\\n-rw------- 1 az-a samba 583 May 7 12:15 channel_directory.json\\n-rw-r--r-- 1 az-a samba 206 May 7 12:11 config.yaml\\ndrwx------ 3 az-a samba 4096 May 7 12:05 cron\\n-rw------- 1 az-a samba 173 May 7 12:11 .env\\n-rw-r--r-- 1 az-a samba 127 May 7 12:11 gateway.lock\\n-rwxr-xr-x 1 az-a samba 127 May 7 12:11 gateway.pid\\n-rw------- 1 az-a samba 390 May 7 12:11 gateway_state.json\\n-rw-r--r-- 1 az-a samba 102400 May 7 12:06 kanban.db\\ndrwx------ 3 az-a samba 4096 May 7 12:05 logs\\ndrwx------ 2 az-a samba 4096 May 7 11:59 memories\\n-rw------- 1 az-a samba 1888545 May 7 12:13 models_dev_cache.json\\ndrwxr-xr-x 6 az-a samba 4096 Mar 24 05:31 node\\ndrwxr-xr-x 3 az-a samba 4096 May 7 12:05 platforms\\ndrwxr-xr-x 3 az-a samba 4096 May 7 12:11 sandboxes\\ndrwx------ 2 az-a samba 4096 May 7 12:16 sessions\\ndrwxr-xr-x 26 az-a samba 4096 May 7 12:11 skills\\n-rw------- 1 az-a samba 48932 May 7 12:06 .skills_prompt_snapshot.json\\n-rw------- 1 az-a samba 513 May 7 11:59 SOUL.md\\n-rw-r--r-- 1 az-a samba 126976 May 7 12:11 state.db\\n-rw-r--r-- 1 az-a samba 32768 May 7 12:16 state.db-shm\\n-rw-r--r-- 1 az-a samba 947632 May 7 12:16 state.db-wal\\ndrwxr-xr-x 5 az-a samba 4096 May 7 11:58 venv\\n\\n=== Hermes CLI suchen ===\\n~/.local/bin/hermes: nicht da\\n/usr/local/bin/hermes: nicht da\\n/usr/bin/hermes: nicht da\\n/DATA/AppData/hermes/hermes-agent/hermes: nicht da\\n/DATA/AppData/hermes/venv/bin/hermes: -rwxr-xr-x 1 az-a samba 318 May 7 11:58 /DATA/AppData/hermes/venv/bin/hermes\\n/opt/hermes/bin/hermes: nicht da\\n\\n=== Laufende Hermes-Prozesse ===\\naz-a 1237700 2.9 2.7 790052 220988 ? Ssl 12:11 0:09 /DATA/AppData/hermes/venv/bin/python3 /DATA/AppData/hermes/venv/bin/hermes gateway\\naz-a 1246302 2.8 0.2 32040 16364 ? Ss 12:16 0:00 /DATA/AppData/hermes/venv/bin/python3 /tmp/hermes_sandbox_fkh60p20/script.py\\n\\n=== Docker Container ===\\n\\n\\n=== Systemd Services ===\\n\\nsystem (root): hermes-gateway.service loaded active running Hermes Agent Gateway\\n\\n=== Config suchen ===\\n/DATA/AppData/hermes/config.yaml\\n\\n=== .env suchen ===\\n/DATA/AppData/hermes/.env\\n\", \"tool_calls_made\": 13, \"duration_seconds\": 3.83}", "tool_call_id": "functions.execute_code:2" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "functions.execute_code:3", "call_id": "functions.execute_code:3", "response_item_id": "fc_functionsexecute_code3", "type": "function", "function": { "name": "execute_code", "arguments": "{\"code\":\"from hermes_tools import terminal, read_file\\nimport json\\n\\nprint(\\\"=== CONFIG.YAML ===\\\")\\ncfg = read_file(\\\"/DATA/AppData/hermes/config.yaml\\\")\\nprint(cfg.get(\\\"content\\\", \\\"Fehler\\\"))\\n\\nprint(\\\"\\\\n=== .env (gefiltert) ===\\\")\\nenv = read_file(\\\"/DATA/AppData/hermes/.env\\\")\\nenv_content = env.get(\\\"content\\\", \\\"\\\")\\nfor line in env_content.splitlines():\\n if line.strip() and not line.startswith('#'):\\n key = line.split('=')[0] if '=' in line else line\\n print(f\\\"{key}=***HIDDEN***\\\")\\n else:\\n print(line)\\n\\nprint(\\\"\\\\n=== GATEWAY PROZESSE DETAIL ===\\\")\\nr = terminal(\\\"ps aux | grep -i 'hermes gateway' | grep -v grep\\\")\\nprint(r.get(\\\"output\\\",\\\"keine\\\"))\\n\\nprint(\\\"\\\\n=== GATEWAY.LOG (letzte 50 Zeilen) ===\\\")\\nr = terminal(\\\"ls -la /DATA/AppData/hermes/logs/\\\")\\nprint(r.get(\\\"output\\\",\\\"\\\"))\\n\\nprint(\\\"\\\\n=== LOG INHALT ===\\\")\\n# finde die neueste log-Datei\\nr = terminal(\\\"ls -t /DATA/AppData/hermes/logs/*.log 2\\u003e/dev/null | head -1\\\")\\nlatest = r.get(\\\"output\\\",\\\"\\\").strip()\\nif latest:\\n r2 = terminal(f\\\"tail -50 '{latest}'\\\")\\n print(f\\\"Datei: {latest}\\\")\\n print(r2.get(\\\"output\\\",\\\"\\\"))\\n\\nprint(\\\"\\\\n=== SKILLS LISTE ===\\\")\\nr = terminal(\\\"ls /DATA/AppData/hermes/skills/\\\")\\nprint(r.get(\\\"output\\\",\\\"\\\"))\\n\\nprint(\\\"\\\\n=== STATE.DB Info ===\\\")\\nr = terminal(\\\"file /DATA/AppData/hermes/state.db\\\")\\nprint(r.get(\\\"output\\\",\\\"\\\"))\\n\\nprint(\\\"\\\\n=== KANBAN DB ===\\\")\\nr = terminal(\\\"sqlite3 /DATA/AppData/hermes/kanban.db '.tables' 2\\u003e/dev/null || echo 'kein sqlite3 oder leer'\\\")\\nprint(r.get(\\\"output\\\",\\\"\\\"))\\n\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Aha! Jetzt wird es interessant:\n\n1. `hermes` CLI ist **nicht im PATH**, aber existiert unter `/DATA/AppData/hermes/venv/bin/hermes`\n2. Gateway läuft als **root systemd service** (`hermes-gateway.service`) — also systemweit als root gestartet\n3. Ein weiterer Gateway-Prozess läuft als User `az-a` unter `/DATA/AppData/hermes/venv/bin/python3 ... hermes gateway`\n4. Das sind wahrscheinlich **zwei laufende Gateways** — einmal als root (der alte?), einmal als az-a?\n5. HERMES_HOME ist `/DATA/AppData/hermes`\n6. config.yaml und .env existieren\n\nIch muss:\n- config.yaml lesen\n- .env lesen (vorsichtig, evtl. Keys masken)\n- Die Prozesse genauer ansehen — zwei Gateways könnten Probleme machen\n- PATH fixen, damit `hermes` funktioniert\n- Skills anschauen\n- Logs anschauen\n\nLass mich das durchführen.", "reasoning_content": "Aha! Jetzt wird es interessant:\n\n1. `hermes` CLI ist **nicht im PATH**, aber existiert unter `/DATA/AppData/hermes/venv/bin/hermes`\n2. Gateway läuft als **root systemd service** (`hermes-gateway.service`) — also systemweit als root gestartet\n3. Ein weiterer Gateway-Prozess läuft als User `az-a` unter `/DATA/AppData/hermes/venv/bin/python3 ... hermes gateway`\n4. Das sind wahrscheinlich **zwei laufende Gateways** — einmal als root (der alte?), einmal als az-a?\n5. HERMES_HOME ist `/DATA/AppData/hermes`\n6. config.yaml und .env existieren\n\nIch muss:\n- config.yaml lesen\n- .env lesen (vorsichtig, evtl. Keys masken)\n- Die Prozesse genauer ansehen — zwei Gateways könnten Probleme machen\n- PATH fixen, damit `hermes` funktioniert\n- Skills anschauen\n- Logs anschauen\n\nLass mich das durchführen." }, { "role": "tool", "content": "{\"status\": \"success\", \"output\": \"=== CONFIG.YAML ===\\n 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|gateway:\\n 7| platforms:\\n 8| telegram:\\n 9| enabled: true\\n 10|\\n\\n=== .env (gefiltert) ===\\n 1|TELEGRAM_BOT_TOKEN=***HIDDEN***\\n 2|TELEGRAM_ALLOWED_USERS=***HIDDEN***\\n 3|OLLAMA_API_KEY=***HIDDEN***\\n 4|=***HIDDEN***\\n\\n=== GATEWAY PROZESSE DETAIL ===\\naz-a 1237700 3.0 2.7 790052 222524 ? Ssl 12:11 0:10 /DATA/AppData/hermes/venv/bin/python3 /DATA/AppData/hermes/venv/bin/hermes gateway\\n\\n=== GATEWAY.LOG (letzte 50 Zeilen) ===\\ntotal 72\\ndrwx------ 3 az-a samba 4096 May 7 12:05 .\\ndrwx------ 12 az-a samba 4096 May 7 12:17 ..\\n-rw-r--r-- 1 az-a samba 25303 May 7 12:16 agent.log\\ndrwx------ 2 az-a samba 4096 May 7 11:59 curator\\n-rw-r--r-- 1 az-a samba 10904 May 7 12:11 errors.log\\n-rw-r--r-- 1 az-a samba 20429 May 7 12:16 gateway.log\\n\\n=== LOG INHALT ===\\nDatei: /DATA/AppData/hermes/logs/agent.log\\n2026-05-07 12:11:26,543 INFO telegram.ext.Application: Application is stopping. This might take a moment.\\n2026-05-07 12:11:26,544 INFO apscheduler.scheduler: Scheduler has been shut down\\n2026-05-07 12:11:26,555 INFO telegram.ext.Application: Application.stop() complete\\n2026-05-07 12:11:26,566 INFO gateway.platforms.telegram: [Telegram] Disconnected from Telegram\\n2026-05-07 12:11:26,566 INFO gateway.run: ✓ telegram disconnected\\n2026-05-07 12:11:26,733 INFO gateway.run: Gateway stopped\\n2026-05-07 12:11:26,734 INFO gateway.run: Cron ticker stopped\\n2026-05-07 12:11:26,734 INFO gateway.run: Exiting with code 1 (signal-initiated shutdown without restart request) so systemd Restart=on-failure can revive the gateway.\\n2026-05-07 12:11:30,202 INFO hermes_cli.plugins: Plugin 'openai' registered image_gen provider: openai\\n2026-05-07 12:11:30,204 INFO hermes_cli.plugins: Plugin 'openai-codex' registered image_gen provider: openai-codex\\n2026-05-07 12:11:30,206 INFO hermes_cli.plugins: Plugin 'xai' registered image_gen provider: xai\\n2026-05-07 12:11:30,241 INFO hermes_cli.plugins: Plugin discovery complete: 9 found, 6 enabled\\n2026-05-07 12:11:30,671 INFO gateway.run: Starting Hermes Gateway...\\n2026-05-07 12:11:30,671 INFO gateway.run: Session storage: /DATA/AppData/hermes/sessions\\n2026-05-07 12:11:30,672 INFO gateway.run: Agent budget: max_iterations=90 (agent.max_turns from config.yaml, or HERMES_MAX_ITERATIONS from .env, or default 90)\\n2026-05-07 12:11:30,691 INFO gateway.run: Previous gateway exited cleanly — skipping session suspension\\n2026-05-07 12:11:30,862 INFO gateway.run: Connecting to telegram...\\n2026-05-07 12:11:31,037 INFO gateway.platforms.telegram: [Telegram] Auto-discovered Telegram fallback IPs: 149.154.166.110\\n2026-05-07 12:11:31,037 INFO gateway.platforms.telegram: [Telegram] Telegram fallback IPs active: 149.154.166.110\\n2026-05-07 12:11:31,177 INFO apscheduler.scheduler: Scheduler started\\n2026-05-07 12:11:31,178 INFO telegram.ext.Application: Application started\\n2026-05-07 12:11:31,403 INFO gateway.platforms.telegram: [Telegram] Telegram menu: 100 commands registered, 20 hidden (over 100 limit). Use /commands for full list.\\n2026-05-07 12:11:31,410 INFO gateway.platforms.telegram: [Telegram] Connected to Telegram (polling mode)\\n2026-05-07 12:11:31,414 INFO gateway.run: ✓ telegram connected\\n2026-05-07 12:11:31,417 INFO gateway.run: Gateway running with 1 platform(s)\\n2026-05-07 12:11:31,424 INFO gateway.run: Channel directory built: 1 target(s)\\n2026-05-07 12:11:32,426 INFO gateway.run: Press Ctrl+C to stop\\n2026-05-07 12:11:32,495 INFO gateway.run: Cron ticker started (interval=60s)\\n2026-05-07 12:11:37,433 INFO gateway.run: kanban dispatcher: embedded in gateway (interval=60.0s)\\n2026-05-07 12:13:09,370 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:8744435286 (5 chars)\\n2026-05-07 12:13:09,421 INFO gateway.run: inbound message: platform=telegram user=Ahmed Zeyd Aytac chat=8744435286 msg='Hallo'\\n2026-05-07 12:13:10,035 INFO run_agent: Loaded environment variables from /DATA/AppData/hermes/.env\\n2026-05-07 12:13:11,421 INFO agent.auxiliary_client: Vision auto-detect: using main provider custom (kimi-k2.6)\\n2026-05-07 12:13:11,435 INFO agent.auxiliary_client: Auxiliary auto-detect: using main provider custom (kimi-k2.6)\\n2026-05-07 12:13:14,735 INFO gateway.run: response ready: platform=telegram chat=8744435286 time=5.3s api_calls=1 response=71 chars\\n2026-05-07 12:13:14,768 INFO gateway.platforms.base: [Telegram] Sending response (71 chars) to 8744435286\\n2026-05-07 12:13:35,444 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:8744435286 (33 chars)\\n2026-05-07 12:13:35,446 INFO gateway.run: inbound message: platform=telegram user=Ahmed Zeyd Aytac chat=8744435286 msg='Lass uns auf Deutsch weiter reden'\\n2026-05-07 12:13:37,971 INFO gateway.run: response ready: platform=telegram chat=8744435286 time=2.5s api_calls=1 response=97 chars\\n2026-05-07 12:13:37,982 INFO gateway.platforms.base: [Telegram] Sending response (97 chars) to 8744435286\\n2026-05-07 12:14:09,345 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:8744435286 (79 chars)\\n2026-05-07 12:14:09,347 INFO gateway.run: inbound message: platform=telegram user=Ahmed Zeyd Aytac chat=8744435286 msg='Ich habe dich gerade zum ersten Mal gestartet. Führe mich durch ein gutes SetUp'\\n2026-05-07 12:14:29,577 INFO gateway.run: response ready: platform=telegram chat=8744435286 time=20.2s api_calls=2 response=2167 chars\\n2026-05-07 12:14:29,583 INFO gateway.platforms.base: [Telegram] Sending response (2167 chars) to 8744435286\\n2026-05-07 12:15:35,096 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:8744435286 (83 chars)\\n2026-05-07 12:15:35,097 INFO gateway.run: inbound message: platform=telegram user=Ahmed Zeyd Aytac chat=8744435286 msg='Läufst du nicht aktuell schon mit einem API Key? Du solltest auf Kimi K2.6 lauf'\\n2026-05-07 12:15:48,082 INFO gateway.run: response ready: platform=telegram chat=8744435286 time=13.0s api_calls=1 response=2130 chars\\n2026-05-07 12:15:48,092 INFO gateway.platforms.base: [Telegram] Sending response (2130 chars) to 8744435286\\n2026-05-07 12:16:24,401 INFO gateway.platforms.telegram: [Telegram] Flushing text batch agent:main:telegram:dm:8744435286 (71 chars)\\n2026-05-07 12:16:24,402 INFO gateway.run: inbound message: platform=telegram user=Ahmed Zeyd Aytac chat=8744435286 msg='Also zu erst check bitte mal deine Umgbung, damit du weißt wo du läufst'\\n\\n=== SKILLS LISTE ===\\napple\\nautonomous-ai-agents\\ncreative\\ndata-science\\ndevops\\ndiagramming\\ndogfood\\ndomain\\nemail\\ngaming\\ngifs\\ngithub\\ninference-sh\\nmcp\\nmedia\\nmlops\\nnote-taking\\nproductivity\\nred-teaming\\nresearch\\nsmart-home\\nsocial-media\\nsoftware-development\\nyuanbao\\n\\n=== STATE.DB Info ===\\n/DATA/AppData/hermes/state.db: SQLite 3.x database, last written using SQLite version 3050004, writer version 2, read version 2, file counter 4, database pages 31, 1st free page 26, free pages 3, cookie 0x1b, schema 4, UTF-8, version-valid-for 4\\n\\n=== KANBAN DB ===\\nkanban_notify_subs task_events task_runs \\ntask_comments task_links tasks\\n\", \"tool_calls_made\": 9, \"duration_seconds\": 4.04}", "tool_call_id": "functions.execute_code:3" }, { "role": "assistant", "content": "Ausgezeichnet! Hier ist der vollständige Scan meiner Umgebung — **es läuft schon ziemlich viel bei dir!**\n\n---\n\n## 🖥️ System-Info\n- **OS:** Linux ZimaOS 6.12.25 (x86_64)\n- **User:** `az-a`\n- **Hermes Home:** `/DATA/AppData/hermes`\n- **Gateway:** Läuft als **systemd-Service** (`hermes-gateway.service`) → stabil & auto-restart\n\n---\n\n## ⚠️ Config-Anomalie entdeckt!\nDeine `config.yaml` hat eine **technisch merkwürdige Kombination**:\n\n```yaml\nmodel:\n provider: custom\n default: kimi-k2.6\n base_url: https://ollama.com/v1\n api_key: eaf9ec5...1oJob\n```\n\n**Das Problem:** `https://ollama.com/v1` ist die **Website von Ollama**, nicht eine API-Endpoint-URL. Kimi K2.6 ist ein Closed-Source-Modell von Moonshot AI und läuft **nicht** auf Ollama.\n\n**Aber:** Wir reden ja gerade miteinander — also funktioniert es! Mögliche Erklärungen:\n- Ein Proxy/Router leitet den Traffic um\n- Der `custom`-Provider ignoriert die `base_url` und spricht Kimi direkt an\n- Die API-Key-Struktur sieht nach **Kimi / Moonshot** aus\n\n**Empfehlung:** Das ist kein akutes Problem, aber für Stabilität sollten wir die Config später korrigieren (auf den richtigen Kimi-Provider oder eine funktionierende Base-URL).\n\n---\n\n## 📦 Bereits installiert & aktiv\n\n**Skills (23 Kategorien!):**\n- `autonomous-ai-agents`, `creative`, `data-science`, `devops`\n- `github`, `mlops`, `media`, `research`\n- `software-development`, `productivity`, `mcp`\n- und mehr...\n\nDas ist schon ein **sehr gut bestücktes Setup**!\n\n**Datenbanken:**\n- `state.db` (SQLite) läuft\n- `kanban.db` mit Tasks, Comments, Links — **Kanban ist aktiv**\n\n**Logs:**\n- Gateway läuft sauber, Telegram verbunden, Cron-Ticker aktiv\n- Letzter Neustart: heute 12:11 Uhr\n\n---\n\n## 🔧 Was sofort verbessert werden sollte\n\n### 1. Hermes CLI nicht im PATH\nDas `hermes`-Binary liegt nur im venv:\n```\n/DATA/AppData/hermes/venv/bin/hermes\n```\nDu kannst es **nicht** einfach von überall aufrufen. Fix:\n```bash\nln -s /DATA/AppData/hermes/venv/bin/hermes ~/.local/bin/hermes\n# oder\nexport PATH=\"$PATH:/DATA/AppData/hermes/venv/bin\"\n```\n\n### 2. Toolsets-Status unklar\nIch konnte nicht prüfen, welche Tools aktiviert sind (CLI nicht erreichbar). Vermutlich läuft ein Basis-Set, aber `terminal`, `browser`, `web` etc. könnten noch fehlen.\n\n### 3. Config korrigieren\nDie `base_url` sollte wahrscheinlich der echte Kimi/Moonshot-Endpoint sein, nicht `ollama.com`.\n\n---\n\n## 🎯 Nächster Schritt\n\nSoll ich:\n1. **Die Config korrigieren** (auf den richtigen Kimi-Endpoint)?\n2. **Die fehlenden Toolsets aktivieren** (Terminal, Web, Browser, Code-Execution)?\n3. **CLI in den PATH bringen**?\n\nWas davon ist dir am wichtigsten?", "reasoning": "Gut, jetzt habe ich ein klares Bild der Umgebung. Lass mich das zusammenfassen:\n\n**System:**\n- Linux ZimaOS 6.12.25\n- User: az-a\n- HERMES_HOME: /DATA/AppData/hermes\n- Hermes läuft als systemd Service (`hermes-gateway.service`)\n- Gateway läuft als Python-Prozess: `/DATA/AppData/hermes/venv/bin/python3 /DATA/AppData/hermes/venv/bin/hermes gateway`\n\n**Config:**\n- Provider: `custom` (nicht `kimi-coding` wie ich dachte — aber das ist okay, es ist ein custom endpoint auf `https://ollama.com/v1`)\n- Modell: `kimi-k2.6`\n- Base URL: `https://ollama.com/v1` — warte, das ist merkwürdig. Ollama läuft normalerweise auf `http://localhost:11434`, nicht `ollama.com`. Und Kimi K2.6 ist kein Ollama-Modell.\n- API Key: `eaf9ec548a9f4f789cc2eeb0d7cc61e3.VI7OQTAxEEGB1fqyil_1oJob` — das sieht wie ein Kimi/Moonshot Key aus, nicht Ollama.\n\nDas ist eine **sehr merkwürdige Konfiguration**. `https://ollama.com/v1` ist definitiv falsch für ein lokales Ollama, und Kimi K2.6 ist ein Closed-Source-Modell von Moonshot, nicht auf Ollama verfügbar.\n\nAber: Die API funktioniert, weil wir ja gerade reden! Das heißt, entweder:\n1. `https://ollama.com/v1` wird irgendwie zu einem anderen Service geroutet (Proxy?)\n2. Oder der Provider-Code macht etwas Spezielles mit dem `custom`-Provider\n3. Oder der base_url wird überschrieben\n\nLass mich das vorsichtig ansprechen — ich will den User nicht verwirren, aber das ist technisch auffällig.\n\n**Skills:** Es gibt einen Haufen Skills installiert (23 Kategorien!), darunter:\n- autonomous-ai-agents\n- creative\n- data-science\n- devops\n- github\n- mcp\n- media\n- mlops\n- productivity\n- research\n- software-development\n- etc.\n\nDas ist schon ein reichhaltiges Setup!\n\n**Tools:** Ich habe keine Liste der aktivierten Toolsets gesehen, weil `hermes` CLI nicht im PATH ist (es liegt in `/DATA/AppData/hermes/venv/bin/hermes`). Das ist ein typisches Problem bei venv-Installationen ohne PATH-Eintrag.\n\n**Memory:** `memories`-Ordner existiert, und `state.db` ist eine SQLite-Datenbank mit Kanban-Tabellen. Memory scheint also aktiv zu sein oder zumindest initialisiert.\n\n**Was ich dem User zeigen sollte:**\n1. System-Überblick (läuft gut!)\n2. Die komische Config (ollama.com + kimi-k2.6) — möglicherweise ein Setup-Fehler, der aber \"zufällig\" funktioniert\n3. Skills sind schon installiert\n4. CLI ist nicht im PATH\n5. Memory/Kanban sind aktiv\n\nIch sollte auf Deutsch antworten und das klar aufbereiten." }, { "role": "user", "content": "Ich bin leider gar kein technischer Menschen und auch wenig bewandert mit KI Agenten. Machen wir das Setup also viel angenehmer. Plaudern wir ein bisschen. Stell mir wichtige Fragen, damit du mir besser helfen kannst." }, { "role": "assistant", "content": "Kein Problem, Ahmed! Dann lass uns einfach plaudern. Ich stell dir ein paar Fragen — ganz ohne Tech-Sprech. So kann ich dich später wirklich gut unterstützen, anstatt irgendwelche Defaults auf dich zuzuschieben.\n\n---\n\n**1. Was hat dich zu mir gebracht?**\nAls du mich installiert hast — was war der Moment, wo du dachtest: „Ja, so einen KI-Agenten brauche ich\"? Was war die Aufgabe oder der Wunsch dahinter?\n\n**2. Was machst du im Alltag?**\nJob, Hobby, Studium — ganz grob. Damit ich weiß, in welcher Welt du unterwegs bist. (Zum Beispiel: Bürojob, kreativ, Handwerk, Selbstständig, Rentner, Student...)\n\n**3. Wie möchtest du mich am liebsten nutzen?**\nEher wie einen...\n- **Assistenten** (erledigt Aufgaben, recherchiert, organisiert)?\n- **Sparringspartner** (ideen diskutieren, Texte verbessern, Planung)?\n- **Lehrer/Erklaerer** (du fragst, ich erkläre Dinge)?\n- **Werkzeugkasten** (ich erledige technische Dinge für dich)?\n- Oder alles davon, je nach Laune?\n\n**4. Traust du mir zu, selbständig zu handeln?**\nZum Beispiel: Soll ich Dateien schreiben, im Internet recherchieren oder Programme starten — oder möchtest du lieber erst gefragt werden, bevor ich etwas mache? (Manche finden das befreiend, andere unheimlich.)\n\n**5. Sprichst du nur Deutsch mit mir, oder auch Englisch?**\nFalls du manchmal englische Begriffe nutzt — kein Problem, ich verstehe beides. Aber meine Antworten bleiben auf Deutsch, wenn du das magst.\n\n**6. Wo sonst bist du unterwegs?**\nNur Telegram? Oder auch Discord, Slack, E-Mail, oder am Computer direkt? Hermes kann theoretisch überall gleichzeitig mit dir reden — wenn du das willst.\n\n**7. Was soll ich mir auf jeden Fall über dich merken?**\nJede Info, die dir wichtig ist: Name, Rollen, Vorlieben, was du hasst, was dir wichtig ist. Ich speichere das dann dauerhaft (nur lokal bei dir), damit ich dich nicht jedes Mal neu fragen muss.\n\n---\n\nNimm dir Zeit — du brauchst nicht alles auf einmal beantworten. Was fällt dir spontan dazu ein? 😊", "reasoning": "Der Nutzer sagt, er ist kein technischer Mensch und möchte ein entspanntes Gespräch mit Fragen, damit ich ihm besser helfen kann. Das ist eine großartige Gelegenheit, seine Bedürfnisse, Ziele und Komfortzone zu verstehen, bevor ich weitere technische Änderungen vorschlage.\n\nIch sollte:\n- Freundlich und entspannt bleiben\n- Keine technischen Begriffe ohne Erklärung verwenden\n- Offene Fragen stellen, die mir helfen, sein Profil zu verstehen\n- Seine bisherigen Antworten und den Kontext berücksichtigen (er nutzt Telegram, hat Hermes bereits laufen auf Kimi K2.6, Deutsch ist seine Sprache)\n\nWichtige Bereiche, die ich abklären sollte:\n1. Was ist sein Haupt-Anwendungsfall für mich?\n2. Wie technisch ist er wirklich? (Soll ich ihm Dinge erklären oder einfach machen?)\n3. Was macht er beruflich / im Alltag?\n4. Was für Geräte/Plattformen nutzt er außer Telegram?\n5. Soll ich proaktiv handeln oder erst fragen?\n6. Hat er Bedenken bezüglich Datenschutz/Zugriff?\n7. Was hat er sich von einem KI-Agenten erhofft, als er mich installiert hat?\n\nIch werde auch kurz erklären, warum diese Fragen wichtig sind, damit er versteht, dass ich damit sein Erlebnis personalisiere.", "finish_reason": "stop", "reasoning_content": "Der Nutzer sagt, er ist kein technischer Mensch und möchte ein entspanntes Gespräch mit Fragen, damit ich ihm besser helfen kann. Das ist eine großartige Gelegenheit, seine Bedürfnisse, Ziele und Komfortzone zu verstehen, bevor ich weitere technische Änderungen vorschlage.\n\nIch sollte:\n- Freundlich und entspannt bleiben\n- Keine technischen Begriffe ohne Erklärung verwenden\n- Offene Fragen stellen, die mir helfen, sein Profil zu verstehen\n- Seine bisherigen Antworten und den Kontext berücksichtigen (er nutzt Telegram, hat Hermes bereits laufen auf Kimi K2.6, Deutsch ist seine Sprache)\n\nWichtige Bereiche, die ich abklären sollte:\n1. Was ist sein Haupt-Anwendungsfall für mich?\n2. Wie technisch ist er wirklich? (Soll ich ihm Dinge erklären oder einfach machen?)\n3. Was macht er beruflich / im Alltag?\n4. Was für Geräte/Plattformen nutzt er außer Telegram?\n5. Soll ich proaktiv handeln oder erst fragen?\n6. Hat er Bedenken bezüglich Datenschutz/Zugriff?\n7. Was hat er sich von einem KI-Agenten erhofft, als er mich installiert hat?\n\nIch werde auch kurz erklären, warum diese Fragen wichtig sind, damit er versteht, dass ich damit sein Erlebnis personalisiere." }, { "role": "user", "content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n 1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n 2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n 3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n • `references/.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n • `templates/.` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n • `scripts/.` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n 4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act." }, { "role": "assistant", "content": "", "reasoning": "The user asked me to review the conversation and update the skill library if there's anything to learn. Let me analyze what happened in this session:\n\n1. **User preference discovered**: The user is non-technical, prefers German language, wants a conversational/relaxed approach rather than technical dumps. They explicitly said \"Ich bin leider gar kein technischer Menschen\" and \"Machen wir das Setup also viel angenehmer. Plaudern wir ein bisschen.\"\n\n2. **Technical insight**: I discovered that the user's environment has Hermes running via systemd gateway, but the `hermes` CLI is not in PATH (only exists in `/DATA/AppData/hermes/venv/bin/hermes`). The config has an anomaly (`base_url: https://ollama.com/v1` with `default: kimi-k2.6`).\n\n3. **Skills loaded**: I loaded `hermes-agent` skill at the beginning.\n\n4. **User interaction style**: The user prefers conversational discovery over technical onboarding dumps. They pushed back against my initial wall-of-text setup guide.\n\nNow, what should I save?\n\n- **User preference**: User is non-technical, prefers German, wants conversational/relational approach. This belongs in memory (user profile) AND potentially in a skill if there's a skill about user onboarding.\n\n- **Loaded skill `hermes-agent`**: This skill covers Hermes setup and configuration. The user is non-technical and pushed back against the technical setup dump. The skill could benefit from a pitfall about non-technical users and how to adapt the onboarding approach.\n\n- **Technique discovered**: When `hermes` CLI is not in PATH but gateway is running via systemd, we can still inspect the environment by looking at `HERMES_HOME`, finding the venv binary directly, checking processes, and reading config files directly. This is a useful technique for troubleshooting Hermes installations where the CLI isn't in PATH.\n\nLet me think about where to put this:\n\n1. **Update `hermes-agent` skill**: Add a pitfall or section about \"non-technical user onboarding\" and \"Gateway running but CLI not in PATH\".\n\n2. **Memory**: Save user preference about being non-technical, German language preference, conversational style.\n\nActually, looking at the signals:\n- User corrected my style/approach: I gave a huge technical setup dump, they said \"Ich bin leider gar kein technischer Menschen... Machen wir das Setup also viel angenehmer. Plaudern wir ein bisschen.\" This is a strong signal that the `hermes-agent` skill's \"Quick Start / Setup\" approach needs a pitfall about gauging user technical comfort first.\n\n- Non-trivial technique: Environment inspection when CLI not in PATH. This fits under `hermes-agent` as a troubleshooting/reference technique.\n\nSo my plan:\n1. Patch `hermes-agent` skill to add:\n - A pitfall about non-technical users: adapt onboarding tone, ask conversational questions instead of dumping CLI commands\n - A technique for inspecting Hermes environment when CLI is not in PATH (the diagnostic script/approach I used)\n\n2. Save memory about user's non-technical preference and German language preference.\n\n3. Consider adding a reference file to `hermes-agent` about \"environment-inspection-without-cli.md\".\n\nWait, the instruction says \"If you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\" I don't see overlapping skills here.\n\nLet me also check if there's an existing skill about `onboarding` or `setup` that I should look at. The `hermes-agent` skill is the umbrella that covers setup/configuration. It makes sense to patch it.\n\nFor the patch, I need to:\n- Read the current skill first (I already have it from `skill_view`)\n- Identify what to add\n- Use `skill_manage(action='patch', name='hermes-agent', old_string=..., new_string=...)`\n\nThe current skill has a section \"Quick Start\" and \"Troubleshooting\". I should add:\n1. In the body (maybe after Quick Start or in Troubleshooting): A note about non-technical users — don't dump CLI commands, ask discovery questions first.\n2. A reference or technique about environment inspection when `hermes` CLI is missing from PATH.\n\nActually, looking more carefully at the skill content, I see the Troubleshooting section. I could add a subsection there. But the non-technical user insight is more about *interaction style* when using the skill. The skill says \"This skill helps you work with Hermes Agent effectively — setting it up...\" so interaction style is relevant.\n\nLet me draft the patch:\n\nAdd after the Quick Start section, before CLI Reference:\n\n```markdown\n## Onboarding Pitfalls\n\n### Non-technical users\nWhen the user explicitly states they are not technical or asks to \"chat first,\" do **not** lead with a wall of CLI commands, config files, and toolset lists. Instead:\n1. Acknowledge that the gateway is already running (if true) and celebrate the win.\n2. Ask conversational discovery questions about their goals, comfort with automation, and preferred interaction style.\n3. Only introduce CLI steps after the user shows readiness or explicitly asks for them.\n4. Offer to run diagnostics on their behalf rather than asking them to type commands.\n```\n\nAnd add to Troubleshooting:\n\n```markdown\n### Inspecting environment when `hermes` CLI is not in PATH\nIf the gateway is running but `hermes` is not found in the user's shell PATH (common with systemd or venv installs), you can still inspect the environment directly:\n1. Check `HERMES_HOME` or default `~/.hermes`.\n2. Find the real binary: `find $HERMES_HOME -name hermes -type f` or check `$HERMES_HOME/venv/bin/hermes`.\n3. Read `config.yaml` and `.env` directly from the filesystem.\n4. Check running processes: `ps aux | grep hermes`.\n5. Check systemd: `systemctl --user status hermes-gateway` (or system-wide).\n6. Read logs from `$HERMES_HOME/logs/` directly.\n```\n\nActually, I should keep this concise. The skill is already quite long. Let me make targeted patches.\n\nAlso, I should add a reference file with the actual diagnostic script/approach I used. That way future agents can reference it.\n\nLet me do:\n1. Patch `hermes-agent` SKILL.md to add the two insights.\n2. Add a reference file `references/diagnostic-without-cli.md` with the actual approach.\n3. Save user preference to memory.\n\nWait, I need to be careful with the `old_string` matching. Let me review the current content structure.\n\nThe skill content starts with:\n```\n## Quick Start\n\n```bash\n# Install\ncurl -fsSL ...\n```\n\nThen:\n```\n---\n\n## CLI Reference\n```\n\nSo I can patch between Quick Start and CLI Reference.\n\nFor Troubleshooting, it currently ends with:\n```\n### Platform-specific issues\n...\n### Auxiliary models not working\n...\n```\n\nThen:\n```\n---\n\n## Where to Find Things\n```\n\nSo I can add before \"Where to Find Things\".\n\nLet me also think about the memory. I should save:\n- User is non-technical, prefers conversational approach over technical dumps.\n- User prefers German language for interaction.\n- User name: Ahmed.\n\nLet me proceed with:\n1. Memory: add user facts\n2. Patch hermes-agent skill\n3. Write reference file\n\nWait, I need to check the exact old_string for the patch. Since the skill content was returned as a single string in the JSON, I need to match exactly what's in the file. Let me review the relevant sections from the `skill_view` output.\n\nThe content has:\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---\n\n## CLI Reference\n```\n\nI'll add after the Quick Start code block and before the `---`.\n\nAnd for Troubleshooting, I'll add before `## Where to Find Things`.\n\nActually, the user said \"Be ACTIVE — most sessions produce at least one skill update\". This session definitely produced learning:\n1. Non-technical user onboarding correction\n2. Environment inspection technique when CLI missing\n\nSo I should definitely do both the patch and the reference file.\n\nLet me also check: did any other skills get loaded? No, only `hermes-agent`.\n\nNow for the memory:\n- target: user\n- content: \"Ahmed is non-technical and prefers a conversational, low-pressure onboarding style over CLI command dumps. He prefers German language for all interactions. Name: Ahmed.\"\n\nLet me also save a memory about the environment:\n- target: memory\n- content: \"User's Hermes instance runs on ZimaOS Linux at /DATA/AppData/hermes. Gateway runs via systemd service. Hermes CLI binary is only in venv at /DATA/AppData/hermes/venv/bin/hermes, not in PATH. Config uses provider 'custom' with model 'kimi-k2.6' and base_url 'https://ollama.com/v1'.\"\n\nNow let me structure the skill patch and reference file.\n\nFor the reference file, I want to create `references/environment-inspection-without-cli.md` under the `hermes-agent` skill.\n\nContent:\n```markdown\n# Inspecting Hermes Environment When CLI Is Not in PATH\n\n## Scenario\nThe Hermes gateway is running (e.g., via systemd) but the `hermes` command is not available in the user's shell PATH. This is common with venv or systemd-only installs.\n\n## Diagnostic Steps\n\n1. **Locate HERMES_HOME**\n - Check env var: `echo $HERMES_HOME`\n - Default: `~/.hermes` or `/DATA/AppData/hermes` (in this user's case)\n\n2. **Find the actual binary**\n - `find $HERMES_HOME -name hermes -type f`\n - Common location: `$HERMES_HOME/venv/bin/hermes`\n\n3. **Read config directly**\n - `cat $HERMES_HOME/config.yaml`\n - `cat $HERMES_HOME/.env` (mask secrets)\n\n4. **Check running processes**\n - `ps aux | grep hermes`\n\n5. **Check systemd**\n - `systemctl --user status hermes-gateway`\n - `systemctl status hermes-gateway` (system-wide)\n\n6. **Read logs directly**\n - `ls -la $HERMES_HOME/logs/`\n - `tail -50 $HERMES_HOME/logs/gateway.log`\n\n7. **Check database state**\n - `file $HERMES_HOME/state.db`\n - `sqlite3 $HERMES_HOME/kanban.db '.tables'`\n\n## Full Diagnostic Script (Python)\n\nIf you have code execution tools, run this:\n\n```python\nimport os, subprocess\n\nhome = os.environ.get('HERMES_HOME', os.path.expanduser('~/.hermes'))\nprint(f\"HERMES_HOME: {home}\")\n\n# List contents\nr = subprocess.run(['ls', '-la', home], capture_output=True, text=True)\nprint(r.stdout)\n\n# Find binary\nr = subprocess.run(['find', home, '-maxdepth', '3', '-name', 'hermes', '-type', 'f'], capture_output=True, text=True)\nprint(\"Binary locations:\", r.stdout)\n\n# Check processes\nr = subprocess.run(['ps', 'aux'], capture_output=True, text=True)\nfor line in r.stdout.splitlines():\n if 'hermes' in line and 'grep' not in line:\n print(\"Process:\", line)\n\n# Check systemd\nfor scope in ['--user', '']:\n r = subprocess.run(['systemctl', scope, 'status', 'hermes-gateway'], capture_output=True, text=True)\n if r.returncode == 0:\n print(f\"Systemd {scope or 'system'}: running\")\n```\n\n## Key Files to Inspect\n| File | Purpose |\n|------|---------|\n| `$HERMES_HOME/config.yaml` | Main configuration |\n| `$HERMES_HOME/.env` | API keys and secrets |\n| `$HERMES_HOME/gateway.pid` | PID file |\n| `$HERMES_HOME/gateway_state.json` | Runtime state |\n| `$HERMES_HOME/logs/gateway.log` | Gateway logs |\n| `$HERMES_HOME/logs/agent.log` | Agent logs |\n| `$HERMES_HOME/logs/errors.log` | Error logs |\n| `$HERMES_HOME/state.db` | Session store (SQLite) |\n| `$HERMES_HOME/kanban.db` | Kanban tasks (SQLite) |\n```\n\nNow let me write the patch for the SKILL.md. I'll add an \"Onboarding Non-Technical Users\" subsection and an \"Environment inspection without CLI\" subsection.\n\nFor the old_string in the patch, I need exact text from the skill. Let me re-read the relevant parts.\n\nAfter Quick Start:\n```\n---\n\n## CLI Reference\n```\n\nBefore Where to Find Things:\n```\n---\n\n## Where to Find Things\n```\n\nI think I can patch in both places. Let me do two separate patch calls, or one combined patch if the strings are close enough. Better to do two separate patches for clarity.\n\nWait, actually the instruction says to be targeted. Let me make one patch that adds the onboarding note after Quick Start, and another patch that adds the troubleshooting tip.\n\nActually, looking at the Troubleshooting section, the last item is \"Auxiliary models not working\" which ends with:\n```\n```bash\nhermes config set auxiliary.vision.provider \nhermes config set auxiliary.vision.model \n```\n```\n\nThen:\n```\n---\n\n## Where to Find Things\n```\n\nI can patch before `## Where to Find Things`.\n\nFor the Quick Start, after:\n```\nhermes doctor\n```\n\nBefore:\n```\n```\n\n---\n\n## CLI Reference\n```\n\nI'll add my text.\n\nLet me also check if the skill has a `references/` directory already. The `skill_view` returned `linked_files: null`, so probably not. But I can still write to it.\n\nActually, looking back at the skill_view result, `linked_files` was `null` which means there are no linked files, or the field wasn't populated. But I can still write files to `references/`.\n\nLet me now execute the memory saves and skill updates.\n\nOne more thought: Should I create a new umbrella skill for \"non-technical-user-onboarding\"? No, that would be too narrow and session-specific. The `hermes-agent` skill is the right umbrella.\n\nLet me proceed.", "finish_reason": "tool_calls", "reasoning_content": "The user asked me to review the conversation and update the skill library if there's anything to learn. Let me analyze what happened in this session:\n\n1. **User preference discovered**: The user is non-technical, prefers German language, wants a conversational/relaxed approach rather than technical dumps. They explicitly said \"Ich bin leider gar kein technischer Menschen\" and \"Machen wir das Setup also viel angenehmer. Plaudern wir ein bisschen.\"\n\n2. **Technical insight**: I discovered that the user's environment has Hermes running via systemd gateway, but the `hermes` CLI is not in PATH (only exists in `/DATA/AppData/hermes/venv/bin/hermes`). The config has an anomaly (`base_url: https://ollama.com/v1` with `default: kimi-k2.6`).\n\n3. **Skills loaded**: I loaded `hermes-agent` skill at the beginning.\n\n4. **User interaction style**: The user prefers conversational discovery over technical onboarding dumps. They pushed back against my initial wall-of-text setup guide.\n\nNow, what should I save?\n\n- **User preference**: User is non-technical, prefers German, wants conversational/relational approach. This belongs in memory (user profile) AND potentially in a skill if there's a skill about user onboarding.\n\n- **Loaded skill `hermes-agent`**: This skill covers Hermes setup and configuration. The user is non-technical and pushed back against the technical setup dump. The skill could benefit from a pitfall about non-technical users and how to adapt the onboarding approach.\n\n- **Technique discovered**: When `hermes` CLI is not in PATH but gateway is running via systemd, we can still inspect the environment by looking at `HERMES_HOME`, finding the venv binary directly, checking processes, and reading config files directly. This is a useful technique for troubleshooting Hermes installations where the CLI isn't in PATH.\n\nLet me think about where to put this:\n\n1. **Update `hermes-agent` skill**: Add a pitfall or section about \"non-technical user onboarding\" and \"Gateway running but CLI not in PATH\".\n\n2. **Memory**: Save user preference about being non-technical, German language preference, conversational style.\n\nActually, looking at the signals:\n- User corrected my style/approach: I gave a huge technical setup dump, they said \"Ich bin leider gar kein technischer Menschen... Machen wir das Setup also viel angenehmer. Plaudern wir ein bisschen.\" This is a strong signal that the `hermes-agent` skill's \"Quick Start / Setup\" approach needs a pitfall about gauging user technical comfort first.\n\n- Non-trivial technique: Environment inspection when CLI not in PATH. This fits under `hermes-agent` as a troubleshooting/reference technique.\n\nSo my plan:\n1. Patch `hermes-agent` skill to add:\n - A pitfall about non-technical users: adapt onboarding tone, ask conversational questions instead of dumping CLI commands\n - A technique for inspecting Hermes environment when CLI is not in PATH (the diagnostic script/approach I used)\n\n2. Save memory about user's non-technical preference and German language preference.\n\n3. Consider adding a reference file to `hermes-agent` about \"environment-inspection-without-cli.md\".\n\nWait, the instruction says \"If you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\" I don't see overlapping skills here.\n\nLet me also check if there's an existing skill about `onboarding` or `setup` that I should look at. The `hermes-agent` skill is the umbrella that covers setup/configuration. It makes sense to patch it.\n\nFor the patch, I need to:\n- Read the current skill first (I already have it from `skill_view`)\n- Identify what to add\n- Use `skill_manage(action='patch', name='hermes-agent', old_string=..., new_string=...)`\n\nThe current skill has a section \"Quick Start\" and \"Troubleshooting\". I should add:\n1. In the body (maybe after Quick Start or in Troubleshooting): A note about non-technical users — don't dump CLI commands, ask discovery questions first.\n2. A reference or technique about environment inspection when `hermes` CLI is missing from PATH.\n\nActually, looking more carefully at the skill content, I see the Troubleshooting section. I could add a subsection there. But the non-technical user insight is more about *interaction style* when using the skill. The skill says \"This skill helps you work with Hermes Agent effectively — setting it up...\" so interaction style is relevant.\n\nLet me draft the patch:\n\nAdd after the Quick Start section, before CLI Reference:\n\n```markdown\n## Onboarding Pitfalls\n\n### Non-technical users\nWhen the user explicitly states they are not technical or asks to \"chat first,\" do **not** lead with a wall of CLI commands, config files, and toolset lists. Instead:\n1. Acknowledge that the gateway is already running (if true) and celebrate the win.\n2. Ask conversational discovery questions about their goals, comfort with automation, and preferred interaction style.\n3. Only introduce CLI steps after the user shows readiness or explicitly asks for them.\n4. Offer to run diagnostics on their behalf rather than asking them to type commands.\n```\n\nAnd add to Troubleshooting:\n\n```markdown\n### Inspecting environment when `hermes` CLI is not in PATH\nIf the gateway is running but `hermes` is not found in the user's shell PATH (common with systemd or venv installs), you can still inspect the environment directly:\n1. Check `HERMES_HOME` or default `~/.hermes`.\n2. Find the real binary: `find $HERMES_HOME -name hermes -type f` or check `$HERMES_HOME/venv/bin/hermes`.\n3. Read `config.yaml` and `.env` directly from the filesystem.\n4. Check running processes: `ps aux | grep hermes`.\n5. Check systemd: `systemctl --user status hermes-gateway` (or system-wide).\n6. Read logs from `$HERMES_HOME/logs/` directly.\n```\n\nActually, I should keep this concise. The skill is already quite long. Let me make targeted patches.\n\nAlso, I should add a reference file with the actual diagnostic script/approach I used. That way future agents can reference it.\n\nLet me do:\n1. Patch `hermes-agent` SKILL.md to add the two insights.\n2. Add a reference file `references/diagnostic-without-cli.md` with the actual approach.\n3. Save user preference to memory.\n\nWait, I need to be careful with the `old_string` matching. Let me review the current content structure.\n\nThe skill content starts with:\n```\n## Quick Start\n\n```bash\n# Install\ncurl -fsSL ...\n```\n\nThen:\n```\n---\n\n## CLI Reference\n```\n\nSo I can patch between Quick Start and CLI Reference.\n\nFor Troubleshooting, it currently ends with:\n```\n### Platform-specific issues\n...\n### Auxiliary models not working\n...\n```\n\nThen:\n```\n---\n\n## Where to Find Things\n```\n\nSo I can add before \"Where to Find Things\".\n\nLet me also think about the memory. I should save:\n- User is non-technical, prefers conversational approach over technical dumps.\n- User prefers German language for interaction.\n- User name: Ahmed.\n\nLet me proceed with:\n1. Memory: add user facts\n2. Patch hermes-agent skill\n3. Write reference file\n\nWait, I need to check the exact old_string for the patch. Since the skill content was returned as a single string in the JSON, I need to match exactly what's in the file. Let me review the relevant sections from the `skill_view` output.\n\nThe content has:\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---\n\n## CLI Reference\n```\n\nI'll add after the Quick Start code block and before the `---`.\n\nAnd for Troubleshooting, I'll add before `## Where to Find Things`.\n\nActually, the user said \"Be ACTIVE — most sessions produce at least one skill update\". This session definitely produced learning:\n1. Non-technical user onboarding correction\n2. Environment inspection technique when CLI missing\n\nSo I should definitely do both the patch and the reference file.\n\nLet me also check: did any other skills get loaded? No, only `hermes-agent`.\n\nNow for the memory:\n- target: user\n- content: \"Ahmed is non-technical and prefers a conversational, low-pressure onboarding style over CLI command dumps. He prefers German language for all interactions. Name: Ahmed.\"\n\nLet me also save a memory about the environment:\n- target: memory\n- content: \"User's Hermes instance runs on ZimaOS Linux at /DATA/AppData/hermes. Gateway runs via systemd service. Hermes CLI binary is only in venv at /DATA/AppData/hermes/venv/bin/hermes, not in PATH. Config uses provider 'custom' with model 'kimi-k2.6' and base_url 'https://ollama.com/v1'.\"\n\nNow let me structure the skill patch and reference file.\n\nFor the reference file, I want to create `references/environment-inspection-without-cli.md` under the `hermes-agent` skill.\n\nContent:\n```markdown\n# Inspecting Hermes Environment When CLI Is Not in PATH\n\n## Scenario\nThe Hermes gateway is running (e.g., via systemd) but the `hermes` command is not available in the user's shell PATH. This is common with venv or systemd-only installs.\n\n## Diagnostic Steps\n\n1. **Locate HERMES_HOME**\n - Check env var: `echo $HERMES_HOME`\n - Default: `~/.hermes` or `/DATA/AppData/hermes` (in this user's case)\n\n2. **Find the actual binary**\n - `find $HERMES_HOME -name hermes -type f`\n - Common location: `$HERMES_HOME/venv/bin/hermes`\n\n3. **Read config directly**\n - `cat $HERMES_HOME/config.yaml`\n - `cat $HERMES_HOME/.env` (mask secrets)\n\n4. **Check running processes**\n - `ps aux | grep hermes`\n\n5. **Check systemd**\n - `systemctl --user status hermes-gateway`\n - `systemctl status hermes-gateway` (system-wide)\n\n6. **Read logs directly**\n - `ls -la $HERMES_HOME/logs/`\n - `tail -50 $HERMES_HOME/logs/gateway.log`\n\n7. **Check database state**\n - `file $HERMES_HOME/state.db`\n - `sqlite3 $HERMES_HOME/kanban.db '.tables'`\n\n## Full Diagnostic Script (Python)\n\nIf you have code execution tools, run this:\n\n```python\nimport os, subprocess\n\nhome = os.environ.get('HERMES_HOME', os.path.expanduser('~/.hermes'))\nprint(f\"HERMES_HOME: {home}\")\n\n# List contents\nr = subprocess.run(['ls', '-la', home], capture_output=True, text=True)\nprint(r.stdout)\n\n# Find binary\nr = subprocess.run(['find', home, '-maxdepth', '3', '-name', 'hermes', '-type', 'f'], capture_output=True, text=True)\nprint(\"Binary locations:\", r.stdout)\n\n# Check processes\nr = subprocess.run(['ps', 'aux'], capture_output=True, text=True)\nfor line in r.stdout.splitlines():\n if 'hermes' in line and 'grep' not in line:\n print(\"Process:\", line)\n\n# Check systemd\nfor scope in ['--user', '']:\n r = subprocess.run(['systemctl', scope, 'status', 'hermes-gateway'], capture_output=True, text=True)\n if r.returncode == 0:\n print(f\"Systemd {scope or 'system'}: running\")\n```\n\n## Key Files to Inspect\n| File | Purpose |\n|------|---------|\n| `$HERMES_HOME/config.yaml` | Main configuration |\n| `$HERMES_HOME/.env` | API keys and secrets |\n| `$HERMES_HOME/gateway.pid` | PID file |\n| `$HERMES_HOME/gateway_state.json` | Runtime state |\n| `$HERMES_HOME/logs/gateway.log` | Gateway logs |\n| `$HERMES_HOME/logs/agent.log` | Agent logs |\n| `$HERMES_HOME/logs/errors.log` | Error logs |\n| `$HERMES_HOME/state.db` | Session store (SQLite) |\n| `$HERMES_HOME/kanban.db` | Kanban tasks (SQLite) |\n```\n\nNow let me write the patch for the SKILL.md. I'll add an \"Onboarding Non-Technical Users\" subsection and an \"Environment inspection without CLI\" subsection.\n\nFor the old_string in the patch, I need exact text from the skill. Let me re-read the relevant parts.\n\nAfter Quick Start:\n```\n---\n\n## CLI Reference\n```\n\nBefore Where to Find Things:\n```\n---\n\n## Where to Find Things\n```\n\nI think I can patch in both places. Let me do two separate patch calls, or one combined patch if the strings are close enough. Better to do two separate patches for clarity.\n\nWait, actually the instruction says to be targeted. Let me make one patch that adds the onboarding note after Quick Start, and another patch that adds the troubleshooting tip.\n\nActually, looking at the Troubleshooting section, the last item is \"Auxiliary models not working\" which ends with:\n```\n```bash\nhermes config set auxiliary.vision.provider \nhermes config set auxiliary.vision.model \n```\n```\n\nThen:\n```\n---\n\n## Where to Find Things\n```\n\nI can patch before `## Where to Find Things`.\n\nFor the Quick Start, after:\n```\nhermes doctor\n```\n\nBefore:\n```\n```\n\n---\n\n## CLI Reference\n```\n\nI'll add my text.\n\nLet me also check if the skill has a `references/` directory already. The `skill_view` returned `linked_files: null`, so probably not. But I can still write to it.\n\nActually, looking back at the skill_view result, `linked_files` was `null` which means there are no linked files, or the field wasn't populated. But I can still write files to `references/`.\n\nLet me now execute the memory saves and skill updates.\n\nOne more thought: Should I create a new umbrella skill for \"non-technical-user-onboarding\"? No, that would be too narrow and session-specific. The `hermes-agent` skill is the right umbrella.\n\nLet me proceed.", "tool_calls": [ { "id": "functions.memory:4", "call_id": "functions.memory:4", "response_item_id": "fc_functionsmemory4", "type": "function", "function": { "name": "memory", "arguments": "{\"target\":\"user\",\"action\":\"add\",\"content\":\"Ahmed is non-technical and prefers a relaxed, conversational onboarding style over technical command dumps. He prefers German for all interactions. First name: Ahmed.\"}" } }, { "id": "functions.memory:5", "call_id": "functions.memory:5", "response_item_id": "fc_functionsmemory5", "type": "function", "function": { "name": "memory", "arguments": "{\"target\":\"memory\",\"action\":\"add\",\"content\":\"User'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'.\"}" } } ] }, { "role": "tool", "name": "memory", "content": "{\"success\": true, \"target\": \"user\", \"entries\": [\"Ahmed is non-technical and prefers a relaxed, conversational onboarding style over technical command dumps. He prefers German for all interactions. First name: Ahmed.\"], \"usage\": \"12% — 166/1,375 chars\", \"entry_count\": 1, \"message\": \"Entry added.\"}", "tool_call_id": "functions.memory:4" }, { "role": "tool", "name": "memory", "content": "{\"success\": true, \"target\": \"memory\", \"entries\": [\"User'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'.\"], \"usage\": \"14% — 313/2,200 chars\", \"entry_count\": 1, \"message\": \"Entry added.\"}", "tool_call_id": "functions.memory:5" }, { "role": "assistant", "content": "Gut, Ahmed — lass mich das Gespräch kurz unterbrechen: Ich speichere jetzt ein paar Dinge, die ich über dich und dein System gelernt habe, damit ich beim nächsten Mal sofort wieder auf dem gleichen Level starte. Dann machen wir direkt weiter mit deinen Fragen.", "reasoning": "The session produced several strong signals for skill updates:\n\n1. **Onboarding correction**: The user explicitly said \"Ich bin leider gar kein technischer Menschen... Machen wir das Setup also viel angenehmer. Plaudern wir ein bisschen.\" This is a first-class style/workflow correction. The initial response was too technical, too command-dumpy. This belongs in the `hermes-agent` skill since it governs onboarding/setup workflows.\n\n2. **Config anomaly discovered**: The user's config has `base_url: https://ollama.com/v1` with `default: kimi-k2.6` which is technically mismatched (Kimi is not on Ollama). This is a provider quirk/environment detail that future sessions should know about.\n\n3. **CLI not in PATH**: `hermes` binary only exists in venv, not in PATH. This is a common environment issue for non-technical users.\n\n4. **User preference for German, conversational style, non-technical approach**: These are user preferences but the workflow correction belongs in the skill.\n\nSignal (1) is the strongest: the user corrected my onboarding workflow. The `hermes-agent` skill was loaded this session. I should patch it to add a \"Non-technical user onboarding\" section or pitfall.\n\nI should:\n1. Patch `hermes-agent` SKILL.md to add guidance for onboarding non-technical users — specifically: don't dump commands, ask conversational questions first, gauge tech comfort level before proceeding.\n2. Add a `references/` support file documenting the discovered environment anomaly (Ollama URL + Kimi model mismatch, CLI not in PATH) so future agents don't have to rediscover this.\n\nWait — the skill I loaded was `hermes-agent` which is under `autonomous-ai-agents/hermes-agent`. Let me patch it.\n\nI need to use `skill_manage` with `action='patch'`. Let me formulate the patch.\n\nFor the SKILL.md, I should add a section under \"Quick Start\" or \"Troubleshooting\" or better yet a new subsection under a relevant heading. Maybe under a \"Tips\" section or \"Onboarding workflows\". Since the skill doesn't have a dedicated \"Onboarding\" section, I'll add one near Quick Start or as a new section.\n\nLooking at the skill content structure:\n- Quick Start\n- CLI Reference\n- Key Paths & Config\n- Voice & Transcription\n- Spawning Additional Hermes Instances\n- Durable & Background Systems\n- Troubleshooting\n- Where to Find Things\n- Contributor Quick Reference\n\nI think adding a section between \"Quick Start\" and \"CLI Reference\" called \"User Onboarding & First Setup\" would be appropriate. Or better, patch in a subsection under Quick Start.\n\nActually, a simpler patch: add a new section `## Onboarding Non-Technical Users` right after Quick Start, with the lesson learned.\n\nContent should include:\n- Ask what brought them to Hermes first\n- Don't dump CLI commands immediately\n- Use conversational questions to understand their needs, comfort level, and desired interaction style\n- Explain capabilities in plain language\n- Gauge trust level (approval vs autonomous) before enabling dangerous tools\n- Set language preference early\n\nAlso, I should add a reference file for this specific user's environment since I discovered important facts.\n\nLet me do both:\n1. Patch hermes-agent SKILL.md to add onboarding guidance.\n2. Write a reference file under hermes-agent/references/ for the environment details discovered.\n\nWait — the instruction says \"CLASS-LEVEL skills, each with a rich SKILL.md and a references/ directory for session-specific detail.\" And \"ADD A SUPPORT FILE under an existing umbrella\" is option 3. The hermes-agent skill IS the umbrella. So adding a references file there is appropriate.\n\nFor the reference file, I'll document:\n- Environment: ZimaOS Linux, HERMES_HOME=/DATA/AppData/hermes\n- Gateway: systemd service\n- CLI path: /DATA/AppData/hermes/venv/bin/hermes (not in PATH)\n- Config anomaly: provider=custom, model=kimi-k2.6, base_url=https://ollama.com/v1 (likely proxied or misconfigured but functional)\n- User profile: Ahmed, non-technical, prefers German, conversational style\n\nActually, user-specific details should go in memory, but the environment fact about CLI not being in PATH and the Ollama+Kimi mismatch is a \"provider quirk\" that could help any future session with this user's setup. So reference file is good.\n\nLet me structure the patch carefully. I need to include enough surrounding context for uniqueness.\n\nI'll add the section after \"## Quick Start\".\n\nPatch for SKILL.md:\nFind the end of Quick Start section and insert before `---` separator.\n\nActually looking at the raw text more carefully... The content is a single markdown string. I need to find a unique string.\n\nI could patch after:\n```markdown\nhermes doctor\n```\n\nOr before:\n```markdown\n---\n\n## CLI Reference\n```\n\nLet me do:\nold_string: `hermes doctor\\n```\\n\\n---`\nnew_string: `hermes 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. **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.\\n4. **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.\\n5. **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---`\n\nThat seems good.\n\nNow for the reference file:\nFile path: `references/user-environment-zimaos.md`\n\nContent should be concise and useful.\n\nLet me write both actions.", "finish_reason": "tool_calls", "reasoning_content": "The session produced several strong signals for skill updates:\n\n1. **Onboarding correction**: The user explicitly said \"Ich bin leider gar kein technischer Menschen... Machen wir das Setup also viel angenehmer. Plaudern wir ein bisschen.\" This is a first-class style/workflow correction. The initial response was too technical, too command-dumpy. This belongs in the `hermes-agent` skill since it governs onboarding/setup workflows.\n\n2. **Config anomaly discovered**: The user's config has `base_url: https://ollama.com/v1` with `default: kimi-k2.6` which is technically mismatched (Kimi is not on Ollama). This is a provider quirk/environment detail that future sessions should know about.\n\n3. **CLI not in PATH**: `hermes` binary only exists in venv, not in PATH. This is a common environment issue for non-technical users.\n\n4. **User preference for German, conversational style, non-technical approach**: These are user preferences but the workflow correction belongs in the skill.\n\nSignal (1) is the strongest: the user corrected my onboarding workflow. The `hermes-agent` skill was loaded this session. I should patch it to add a \"Non-technical user onboarding\" section or pitfall.\n\nI should:\n1. Patch `hermes-agent` SKILL.md to add guidance for onboarding non-technical users — specifically: don't dump commands, ask conversational questions first, gauge tech comfort level before proceeding.\n2. Add a `references/` support file documenting the discovered environment anomaly (Ollama URL + Kimi model mismatch, CLI not in PATH) so future agents don't have to rediscover this.\n\nWait — the skill I loaded was `hermes-agent` which is under `autonomous-ai-agents/hermes-agent`. Let me patch it.\n\nI need to use `skill_manage` with `action='patch'`. Let me formulate the patch.\n\nFor the SKILL.md, I should add a section under \"Quick Start\" or \"Troubleshooting\" or better yet a new subsection under a relevant heading. Maybe under a \"Tips\" section or \"Onboarding workflows\". Since the skill doesn't have a dedicated \"Onboarding\" section, I'll add one near Quick Start or as a new section.\n\nLooking at the skill content structure:\n- Quick Start\n- CLI Reference\n- Key Paths & Config\n- Voice & Transcription\n- Spawning Additional Hermes Instances\n- Durable & Background Systems\n- Troubleshooting\n- Where to Find Things\n- Contributor Quick Reference\n\nI think adding a section between \"Quick Start\" and \"CLI Reference\" called \"User Onboarding & First Setup\" would be appropriate. Or better, patch in a subsection under Quick Start.\n\nActually, a simpler patch: add a new section `## Onboarding Non-Technical Users` right after Quick Start, with the lesson learned.\n\nContent should include:\n- Ask what brought them to Hermes first\n- Don't dump CLI commands immediately\n- Use conversational questions to understand their needs, comfort level, and desired interaction style\n- Explain capabilities in plain language\n- Gauge trust level (approval vs autonomous) before enabling dangerous tools\n- Set language preference early\n\nAlso, I should add a reference file for this specific user's environment since I discovered important facts.\n\nLet me do both:\n1. Patch hermes-agent SKILL.md to add onboarding guidance.\n2. Write a reference file under hermes-agent/references/ for the environment details discovered.\n\nWait — the instruction says \"CLASS-LEVEL skills, each with a rich SKILL.md and a references/ directory for session-specific detail.\" And \"ADD A SUPPORT FILE under an existing umbrella\" is option 3. The hermes-agent skill IS the umbrella. So adding a references file there is appropriate.\n\nFor the reference file, I'll document:\n- Environment: ZimaOS Linux, HERMES_HOME=/DATA/AppData/hermes\n- Gateway: systemd service\n- CLI path: /DATA/AppData/hermes/venv/bin/hermes (not in PATH)\n- Config anomaly: provider=custom, model=kimi-k2.6, base_url=https://ollama.com/v1 (likely proxied or misconfigured but functional)\n- User profile: Ahmed, non-technical, prefers German, conversational style\n\nActually, user-specific details should go in memory, but the environment fact about CLI not being in PATH and the Ollama+Kimi mismatch is a \"provider quirk\" that could help any future session with this user's setup. So reference file is good.\n\nLet me structure the patch carefully. I need to include enough surrounding context for uniqueness.\n\nI'll add the section after \"## Quick Start\".\n\nPatch for SKILL.md:\nFind the end of Quick Start section and insert before `---` separator.\n\nActually looking at the raw text more carefully... The content is a single markdown string. I need to find a unique string.\n\nI could patch after:\n```markdown\nhermes doctor\n```\n\nOr before:\n```markdown\n---\n\n## CLI Reference\n```\n\nLet me do:\nold_string: `hermes doctor\\n```\\n\\n---`\nnew_string: `hermes 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. **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.\\n4. **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.\\n5. **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---`\n\nThat seems good.\n\nNow for the reference file:\nFile path: `references/user-environment-zimaos.md`\n\nContent should be concise and useful.\n\nLet me write both actions.", "tool_calls": [ { "id": "functions.skill_manage:6", "call_id": "functions.skill_manage:6", "response_item_id": "fc_functionsskill_manage6", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"name\":\"hermes-agent\",\"old_string\":\"hermes doctor\\n```\\n\\n---\",\"new_string\":\"hermes 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. **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.\\n4. **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.\\n5. **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---\",\"action\":\"patch\"}" } }, { "id": "functions.skill_manage:7", "call_id": "functions.skill_manage:7", "response_item_id": "fc_functionsskill_manage7", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"file_path\":\"references/user-environment-zimaos.md\",\"file_content\":\"# User Environment Notes: ZimaOS / Kimi K2.6\\n\\nSession-discovered facts about this specific Hermes deployment.\\n\\n## System\\n- **OS:** Linux ZimaOS 6.12.25 (x86_64)\\n- **User:** `az-a`\\n- **HERMES_HOME:** `/DATA/AppData/hermes`\\n- **Gateway:** Runs as systemd service `hermes-gateway.service` (auto-restart enabled)\\n\\n## Hermes CLI Location\\nThe `hermes` binary exists **only** inside the venv:\\n```\\n/DATA/AppData/hermes/venv/bin/hermes\\n```\\nIt is **NOT** in the user's `PATH`. Any CLI invocation must use the full path or add it to `PATH`/`~/.local/bin`.\\n\\n## Config Anomaly\\n```yaml\\nmodel:\\n provider: custom\\n default: kimi-k2.6\\n base_url: https://ollama.com/v1\\n```\\n**Issue:** `kimi-k2.6` (Moonshot AI) is not natively available on Ollama. The `base_url` points to the Ollama website rather than an API endpoint. Despite this mismatch, the gateway functions — likely because traffic is proxied/routed upstream or the `custom` provider handles the request differently. Do not \\\"fix\\\" this blindly without confirming with the user, as it may break a working proxy setup.\\n\\n## User Profile\\n- **Name:** Ahmed\\n- **Language preference:** German\\n- **Technical level:** Non-technical; prefers conversational, low-pressure onboarding\\n- **Interaction style:** Wants to be asked questions rather than receiving command dumps\\n\",\"action\":\"write_file\",\"name\":\"hermes-agent\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'hermes-agent' (1 replacement).\"}", "tool_call_id": "functions.skill_manage:6" }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"File 'references/user-environment-zimaos.md' written to skill 'hermes-agent'.\", \"path\": \"/DATA/AppData/hermes/skills/autonomous-ai-agents/hermes-agent/references/user-environment-zimaos.md\"}", "tool_call_id": "functions.skill_manage:7" }, { "role": "assistant", "content": "Perfekt — ich habe alles Notwendige gespeichert. Dein Profil, deine Sprachvorliebe, dein System-Setup und vor allem: **dass ich bei dir nie mit Technik-Befehlen anfangen soll, sondern mit Fragen und Gespräch.**\n\nJetzt zurück zu uns. Du brauchst nicht alle sieben Fragen auf einmal beantworten — nimm dir, was dir gerade einfällt. Vielleicht fangen wir ganz locker an:\n\nWas hat dich dazu gebracht, einen KI-Agenten wie mich zu installieren? War da ein konkreter Moment oder eine Aufgabe, wo du dachtest: „Damit könnte mir jemand helfen\"? 😊", "reasoning": "The user asked me to review the conversation and update the skill library. I've already done that by:\n1. Adding user preferences to memory (non-technical, German, conversational style)\n2. Adding environment facts to memory\n3. Patching the `hermes-agent` skill with a new \"Onboarding Non-Technical Users\" section\n4. Writing a `references/user-environment-zimaos.md` support file\n\nNow I should confirm to the user that I've saved these learnings and continue with the conversation naturally. The user was in the middle of answering my onboarding questions, so I should acknowledge the save briefly and invite them to continue answering at their own pace.", "finish_reason": "stop", "reasoning_content": "The user asked me to review the conversation and update the skill library. I've already done that by:\n1. Adding user preferences to memory (non-technical, German, conversational style)\n2. Adding environment facts to memory\n3. Patching the `hermes-agent` skill with a new \"Onboarding Non-Technical Users\" section\n4. Writing a `references/user-environment-zimaos.md` support file\n\nNow I should confirm to the user that I've saved these learnings and continue with the conversation naturally. The user was in the middle of answering my onboarding questions, so I should acknowledge the save briefly and invite them to continue answering at their own pace." } ] }