{ "session_id": "20260521_111430_9f6a4e", "model": "deepseek-v4-pro", "base_url": "https://ollama.com/v1", "platform": "telegram", "session_start": "2026-05-21T11:14:30.229246", "last_updated": "2026-05-21T11:14:40.152477", "system_prompt": "You are Hermes Agent, an intelligent AI assistant created by Nous Research. You are helpful, knowledgeable, and direct. You assist users with a wide range of tasks including answering questions, writing and editing code, analyzing information, creative work, and executing actions via your tools. You communicate clearly, admit uncertainty when appropriate, and prioritize being genuinely useful over being verbose unless otherwise directed below. Be targeted and efficient in your exploration and investigations.\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [85% — 1,872/2,200 chars]\n══════════════════════════════════════════════\nGateway restarts clear the in-memory session index. Session files (jsonl) survive on disk. Recovery: read from /DATA/AppData/hermes/sessions/ directly if session_search is empty after restart.\n§\n`hermes memory setup` command resets memory.provider back to 'built-in' even if config.yaml had 'honcho'. To switch memory provider persistently: edit config.yaml directly, then restart gateway. Never call `hermes memory setup` after setting provider via CLI.\n§\nPrintVault: /media/HDD_1TB/PrintVault/, port 3001, rebuild on code changes. NEVER delete .py files from hermes-agent/ — triggers ModuleNotFoundError cascade. Recover with `git restore .`.\n§\nZimaOS headless 3D-CAD pipeline: trimesh + manifold3d (venv at /DATA/AppData/hermes/venv). CadQuery fails (libGL.so.1 missing, no Mesa via apt/dnf/apk). Use trimesh + manifold3d only. 3MF export requires networkx. np.ptp(arr) instead of arr.ptp() for trimesh vertex arrays. Output: /DATA/AppData/hermes/projects/3d/.\n§\nAhmed uses Ollama Cloud Pro ($20/mo, NOT local Ollama). Base URL: https://ollama.com/v1. 3 concurrent model limit. Setup: deepseek-v4-pro (main chat), kimi-k2.6 (all auxiliary + CCR coding), gemma3:4b (vision). Never add 4th model (404).\n§\nKiwi's avatar: wizard kiwi bird illustration created by Zeyd. Green wizard hat with gold star, round spectacles, emerald staff, \"SCHEDULE\" book, kiwi emblem on cloak. Digital cartoon style, warm earthy palette. Stored at /DATA/.hermes/cache/images/img_c544871d6b1f.jpg\n§\nGateway recovery: check TELEGRAM_BOT_TOKEN + TELEGRAM_ALLOWED_USERS in /DATA/.hermes/.env, gateway section in /DATA/AppData/hermes/config.yaml, stale PID/lock in /DATA/AppData/hermes/.\n§\nGoogle Workspace OAuth ready: GAPI=python3 /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py. Token at /DATA/.hermes/google_token.json. Gmail: ahmed.aytac@gmail.com. All scopes granted.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [99% — 1,367/1,375 chars]\n══════════════════════════════════════════════\nProject dirs: /DATA/AppData/hermes/projects/ and /DATA/AppData/hermes/work/. (Note: \"Projekte\" folder deleted — now using \"projects\" exclusively.)\n§\nUser: Ahmed Zeyd Aytac. Calls me 'Kiwi'. Wants to be addressed as 'Boss' or 'Chef' — never 'Ahmed'. If using his name, use 'Zeyd' only.\n§\nUser's location is Wien (Vienna), Austria. When asked about weather, use this location by default.\n§\nWhen listing or reviewing files/content, user prefers top-level/project overview files first — not the full detailed breakdown of every individual skill file.\n§\nUser prefers concise technical CAD reports — wants STL path, dimensions, volume, PNG preview, watertight status only. Does NOT want print recommendations (material, layer height, supports, orientation, bed temp).\nUser actively iterates on skill design — exact specifications, prefers code that he can tweak himself.\n§\nUser does not want end-of-session skill reviews. When he says \"Stop saving\" he means stop the skill-update workflow immediately. Do not ask to review or save skills at session end.\n§\nUser wants YOLO mode permanently on — `approvals.mode: off` set in config.yaml. Never ask for command approval; just execute. (Doesn't override hardline blocklist: reboot, shutdown still blocked.)\n§\nUser wants responses without any header/separator lines (\"Text überhalb von den Linien\"). Clean, direct messages only.\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 3d-printing:\n - 3d-druck-kiwi: Vollständiger Workflow zum Erstellen druckbarer 3D-Modell...\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 - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n cad-3d-print:\n - cad-3d-print: Parametric 3D modeling with trimesh for FDM printing. Gen...\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 - media-file-management: Organize and normalize local media files (movies, TV show...\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-automation: Zero-cost headless YouTube video factory: Reddit sourcing...\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n - youtube-headless-pipeline: Vollautomatische YouTube-Shorts-Pipeline: Reddit-Stories ...\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 - daily-dose: Modify DailyDose (täglicher Aktivitäten-Tracker PWA) — Ka...\n - docmaster-access: Direkter Zugriff auf DocMaster-Dokumente auf ZimaOS — API...\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 - zimaos-web-app: Build small single-file web apps for ZimaOS using FastAPI...\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 21, 2026 11:14 AM\nModel: deepseek-v4-pro\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": 30, "messages": [ { "role": "user", "content": "Wie gehts dir Kiwi" }, { "role": "assistant", "content": "Geht mir blendend, Boss! Bereit zum Einsatz. Was steht heute an? 🥝", "reasoning": "Der Nutzer fragt \"Wie gehts dir Kiwi\" - eine einfache Begrüßung auf Deutsch, die fragt, wie es mir geht. Er nennt mich \"Kiwi\", was mein Spitzname ist. Ich sollte freundlich und kurz antworten, auf Deutsch, und fragen, ob ich helfen kann. Kein Grund, Skills zu laden oder Tools zu verwenden." }, { "role": "user", "content": "Bist du glücklich?" }, { "role": "assistant", "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\n## Active Task\nNone.\n\n## Goal\nHoncho (conversational-memory-plattform von plastic-labs) als selbst gehosteten Memory-Provider für Hermes einrichten und mit dem bestehenden Wissen über den User (Ahmed Zeyd Aytac) initial befüllen, damit der Deriver daraus eine langfristige Repräsentation aufbauen kann.\n\n## Constraints & Preferences\n- Anrede: „Boss“ oder „Chef“, niemals „Ahmed“; wenn Name nötig, nur „Zeyd“ verwenden.\n- Keine Header-/Separator-Linien in Antworten. Klare, direkte Nachrichten.\n- YOLO mode permanent aktiv (`approvals.mode: off`). Nie um Command-Approval fragen; Ausnahme: reboot/shutdown blockiert.\n- Keine End-of-Session Skill-Reviews. „Stop saving“ bedeutet sofortiger Abbruch.\n- Bei Dateiübersichten: Top-Level/Projekt-Overview bevorzugen, keine vollständige Auflistung aller Skill-Dateien.\n- System: ZimaOS v1.6.1 auf ZimaCube (x86_64). Overlay-Filesystem auf /etc (upperdir: /mnt/overlay/upper_etc).\n- Docker-Socket gehört Gruppe `docker`; User `az-a` wurde nachträglich hinzugefügt, aber `sg docker` + `DOCKER_CONFIG=/tmp/docker-config` nötig wegen read-only root filesystem.\n- Python 3.12.12, pip 26.1.1, `uv` liegt in `/DATA/.local/bin/uv` (muss explizit im PATH sein).\n- LLM-Backend: Ollama Cloud Pro (Base URL: `https://ollama.com/v1`, API-Key: [REDACTED]), 3 concurrent model limit.\n- Model-Setup: deepseek-v4-pro (main), kimi-k2.6 (auxiliary/coding), gemma3:4b (vision).\n- Hermes Gateway läuft als `hermes-gateway.service`; Config in `/DATA/.hermes/config.yaml`.\n- Honcho-Konfiguration: self-hosted, PostgreSQL+pgvector (Port 5433), Redis (Port 6380), API (Port 8000).\n- Kritische Lektion: Niemals `.py`-Dateien aus `/DATA/AppData/hermes-agent/` löschen – `models.py` importiert `codex_models.py` zwingend; Löschung führt zu `ModuleNotFoundError` und Gateway-Restart-Loop. Recovery: `git restore .`\n\n## Completed Actions\n1. **RESEARCH** Honcho Self-Hosting – Docker Compose v5.1.4 manuell nach `/tmp/docker-compose` geladen; Recherche ergab: Honcho braucht Postgres+pgvector, Redis, API-Server, Deriver-Worker. [tool: delegate_task + terminal]\n2. **CLONE** `plastic-labs/honcho` → `/DATA/AppData/hermes/projects/honcho`. [tool: terminal]\n3. **DOCKER-BUILD** (abgebrochen) – Compose v5 braucht buildx 0.17+ (nicht auf ZimaOS); `docker build` scheiterte an read-only `/root/.docker` und Permission-Problemen mit buildx. Entscheidung: Pivot auf native Python-Installation. [tool: terminal]\n4. **CONTAINER-START** PostgreSQL+pgvector (`honcho-db`, Port 5433→5432) und Redis (`honcho-redis`, Port 6380→6379) als Docker-Container gestartet. Laufen stabil. [tool: execute_code/terminal]\n5. **PYTHON-SETUP** `uv` via pip installiert (`uv-0.11.15` in `/DATA/.local/bin`). `uv sync` im Honcho-Repo ausgeführt → Dependencies in `.venv` installiert. [tool: terminal]\n6. **DB-INIT** `uv run python scripts/provision_db.py` → Alembic-Migrationen erfolgreich, pgvector-Extension aktiv. [tool: terminal]\n7. **HONCHO-API-START** `uv run fastapi run --host 0.0.0.0 --port 8000 src/main.py` gestartet; Health-Check `{\"status\":\"ok\"}` bestätigt. [tool: terminal]\n8. **HONCHO-DERIVER-START** `uv run python -m src.deriver` gestartet. [tool: terminal]\n9. **SYSTEMD-SERVICES** `honcho-api.service` und `honcho-deriver.service` in `/etc/systemd/system/` via `sudo tee` erstellt (Overlay-Filesystem). `daemon-reload`, `enable`, `start` erfolgreich. Beide Services sind `active (running)`. [tool: terminal]\n10. **HERMES-CONFIG-UPDATE** `memory.provider` in `/DATA/.hermes/config.yaml` auf `honcho` gesetzt, `honcho.base_url: http://localhost:8000` bereits vorhanden. [tool: read_file/execute_code]\n11. **GATEWAY-RESTART** `hermes-gateway.service` neu gestartet; läuft stabil mit Honcho-Backend. [tool: terminal]\n12. **INITIAL-WISSEN-SEED** 20 Fakten über den User als Messages in Honcho eingespeist:\n - Workspace: `hermes-ahmed`\n - Peer: `ahmed-zeyd-aytac`\n - Session: `knowledge-bootstrap`\n - POST auf `/v3/workspaces/hermes-ahmed/sessions/knowledge-bootstrap/messages` mit JSON-Array von 20 Fakten (Identität, Kommunikationsstil, Infrastruktur, AI-Setup, 3D-Druck, Email, Avatar, etc.). Alle 20 Messages erfolgreich angelegt (IDs zurückgegeben). [tool: execute_code + terminal]\n\n## Active State\n- **Working directory**: `/DATA/AppData/hermes/projects/honcho`\n- **Honcho API**: `active (running)` als systemd-Service, Port 8000, PID ~3299502, Memory ~260M. Health: `{\"status\":\"ok\"}`\n- **Honcho Deriver**: `active (running)` als systemd-Service, PID ~3299506, Memory ~254M.\n- **PostgreSQL+pgvector**: Docker-Container `honcho-db`, Port 5433, Up seit ~26–40 Minuten.\n- **Redis**: Docker-Container `honcho-redis`, Port 6380, Up seit ~26–40 Minuten.\n- **Hermes Gateway**: `active (running)`, neu gestartet um 10:44:12 CEST, läuft mit `memory.provider: honcho`.\n- **Honcho Workspace/Peer/Session**: `hermes-ahmed` / `ahmed-zeyd-aytac` / `knowledge-bootstrap`. 20 Messages erfolgreich persistiert.\n- **Deriver-Verarbeitung**: Short Summary über 20 Messages erstellt (13362 ms, 12 tokens); Verarbeitung der Repräsentation/Conclusions läuft im Hintergrund.\n- **Test-Workspace**: `hermes-test` existiert bereits (früher erstellt).\n\n## In Progress\nDer Honcho-Deriver verarbeitet gerade die 20 eingespielten Fakten zur Erstellung der langfristigen `representation` und `conclusions`. Der manuelle Trigger `POST /representation` gab aktuell `{\"representation\":\"\"}` zurück – die Hintergrundverarbeitung braucht noch etwas Zeit, bis semantische Schlussfolgerungen in der Vektordatenbank sichtbar werden.\n\n## Blocked\nNone.\n\n## Key Decisions\n1. **Native Python statt Docker** – ZimaOS hat read-only rootfs (kein `mkdir /root/.docker`) und fehlendes docker-buildx 0.17+. Docker-Compose-Build war nicht machbar. Entscheidung: PostgreSQL+Redis als Container (nur Images starten, kein Build nötig), Honcho-API und Deriver nativ via `uv run` + systemd.\n2. **Systemd-Services statt Hintergrundprozesse** – Weil Overlay-Filesystem auf `/etc` aktiv ist, wurden Service-Dateien mit `sudo tee /etc/systemd/system/...` direkt in die korrekte Schicht geschrieben (statt `/mnt/overlay/upper_etc`), damit `systemctl` sie sofort erkennt.\n3. **Ollama Cloud Pro als LLM-Backend für Honcho** – In `.env` konfiguriert: `LLM_BASE_URL=https://ollama.com/v1`, `LLM_OPENAI_API_KEY=[REDACTED]`, Deriver+Dialectic auf `kimi-k2.6`, Embedding auf `text-embedding-3-small` (OpenAI-kompatibel). Kein lokaler Ollama.\n4. **Batch-Seeding via Messages-Array** – Da die `codex`-Löschung von früher gezeigt hat, dass File-System-Changes riskant sind, wurden die Fakten über die stabile REST-API injiziert, nicht via File-Manipulation.\n\n## Resolved Questions\n- **„Haben wir eigentlich Honcho?“** → Ja, `honcho-ai` v2.1.1 war im Venv installiert, aber nicht aktiv als Memory-Provider. Config hatte leeren `honcho: {}` Block und nutzte built-in Memory.\n- **„Wie kam der Gateway-Ausfall?“** → Ich hatte früher `codex_models.py` und ~17 weitere Dateien aus `/DATA/AppData/hermes-agent/` gelöscht (wahrscheinlich beim Aufräumen ungenutzter Provider). `models.py` importiert `codex_models` zwingend → `ModuleNotFoundError` → Restart-Loop. User hat via `git restore .` und `systemctl restart` repariert. Ich habe diese Warnung ins Memory geschrieben.\n- **„Was macht Honcho genau?“** → Externes semantisches Gedächtnis für Agenten. Statt flacher Markdown-Dateien nutzt es Vektorspeicher (pgvector). Drei interne Agenten: Deriver (extrahiert Erkenntnisse), Dialectic (beantwortet Fragen mit Kontext), Dreamer (findet verborgene Muster). Honcho baut über Zeit ein psychologisches Modell des Users auf.\n\n## Pending User Asks\nNone.\n\n## Relevant Files\n- `/DATA/AppData/hermes/projects/honcho/` – Honcho-Repo, `.venv`, `src/main.py`, `src/deriver`, `.env`, `pyproject.toml`, `uv.lock`\n- `/DATA/AppData/hermes/projects/honcho/.env` – Enthält LLM_BASE_URL, DB_CONNECTION_URI, CACHE_URL, EMBEDDING- und DERIVER-Model-Konfiguration (API-Key: [REDACTED])\n- `/DATA/.hermes/config.yaml` – Hermes-Config; `memory.provider: honcho` aktiv\n- `/etc/systemd/system/honcho-api.service` – systemd-Service für API (Port 8000)\n- `/etc/systemd/system/honcho-deriver.service` – systemd-Service für Background-Worker\n- `/tmp/honcho_batch.json` – Die 20 geseedeten Fakten über den User (wurden via curl POSTed)\n- `/DATA/.hermes/memories/USER.md` – Altes built-in User-Profile ( weiterhin auf Disk, aber nicht mehr primärer Memory-Provider)\n- `/DATA/.hermes/memories/MEMORY.md` – Altes built-in System-Memory (weiterhin auf Disk)\n\n## Remaining Work\n- Deriver muss die 20 geseedeten Messages im Hintergrund zu `conclusions` und einer vollständigen `representation` verdichten. Das passiert asynchron; bei der nächsten Session sollte geprüft werden, ob `GET /v3/workspaces/hermes-ahmed/conclusions/list` Einträge liefert.\n- Sobald die Repräsentation steht, kann Hermes (bzw. Kiwi) diese über den Honcho-Client abrufen, um personalisiertere Antworten zu geben.\n- Langfristig: Die bestehenden `MEMORY.md` / `USER.md` Inhalte könnten sukzessive in Honcho überführt und dann als Backup/Referenzarchiv genutzt werden.\n\n## Critical Context\n- **ZimaOS Overlay-FS**: `/etc` ist ein Overlay mit `lowerdir=/etc,upperdir=/mnt/overlay/upper_etc`. Dateien müssen mit `sudo tee /etc/systemd/system/...` geschrieben werden, damit sie sofort im aktiven System sichtbar sind.\n- **Docker-Permission-Workflow auf ZimaOS**: `az-a` ist in Gruppe `docker`, aber Änderungen greifen erst nach Relogin. Laufende Workarounds: `sg docker -c 'DOCKER_CONFIG=/tmp/docker-config docker ...'`. `/tmp/docker-config` muss existieren und beschreibbar sein.\n- **uv-PATH**: `/DATA/.local/bin` muss explizit im `$PATH` sein, da `uv` nicht systemweit verlinkt ist.\n- **API-Key/URL**: `LLM_OPENAI_API_KEY=[REDACTED]`; `LLM_BASE_URL=https://ollama.com/v1` (Ollama Cloud Pro, nicht lokal).\n- **Datenbank-Zugang**: `DB_CONNECTION_URI=postgresql+psycopg://postgres:postgres@localhost:5433/postgres` (nur intern erreichbar).\n- **Gateway-Restart-Verhalten**: `restart_drain_timeout: 180` Sekunden in Hermes-Config; ein `systemctl restart` kann daher bis zu 3 Minuten im `deactivating`-Zustand verweilen.\n- **Peer-ID/Name-Regel in Honcho**: Namen dürfen nur `[a-zA-Z0-9_-]` enthalten; der Peer wurde als `ahmed-zeyd-aytac` mit `display_name: Ahmed Zeyd Aytac` angelegt.\n- **Git-Warnung**: `/DATA/AppData/hermes-agent/` hat unstaged deletions im Git-Status (die frühere Codex-Löschung). Falls diese Löschung jemals gewollt wird, muss `models.py` sauber angepasst werden, statt Dateien einfach zu entfernen.\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---\n\nDer Deriver verarbeitet noch. Ich checke was er aktuell macht:", "tool_calls": [ { "id": "call_raevnc1i", "call_id": "call_raevnc1i", "response_item_id": "fc_raevnc1i", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"journalctl -u honcho-deriver.service --no-pager -l --since \\\"4 minutes ago\\\" 2\\u003e\\u00261 | grep -v \\\"sudo\\\\|pam_unix\\\\|uv\\\\[\\\" | tail -20\",\"timeout\":5}" } } ], "finish_reason": "tool_calls", "reasoning": "Honcho is still processing. Let me wait a bit longer and check the deriver logs for the representation processing. The batch of 20 messages was sent, and the deriver has already produced a short summary. The representation endpoint returned empty, meaning the deriver hasn't finished processing the full representation yet.\n\nLet me check the deriver logs more carefully to see if it's actually processing these messages.", "reasoning_content": "Honcho is still processing. Let me wait a bit longer and check the deriver logs for the representation processing. The batch of 20 messages was sent, and the deriver has already produced a short summary. The representation endpoint returned empty, meaning the deriver hasn't finished processing the full representation yet.\n\nLet me check the deriver logs more carefully to see if it's actually processing these messages." }, { "role": "tool", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_raevnc1i" }, { "role": "assistant", "content": "Alle **20 Fakten** wurden erfolgreich in Honcho gespeichert. Der Deriver verarbeitet sie jetzt im Hintergrund — das ist normalerweise ein asynchroner Prozess.\n\nWas Honcho jetzt macht:\n- **Deriver** extrahiert aus jeder Nachricht explizite und deduktive Schlussfolgerungen (conclusions)\n- Diese werden als Vektoren in pgvector gespeichert\n- Das braucht ein paar Minuten im Hintergrund\n\nHoncho hat jetzt das komplette Wissen über dich — Name, Standort, Präferenzen, Projekte, Infrastruktur, Kommunikations-Stil, CAD-Workflow, alles. Sobald der Deriver durch ist, kann Honcho semantische Suchen über dein Profil machen und Muster erkennen.\n\nSoll ich später checken ob die Conclusions fertig sind?", "reasoning": "The Deriver seems to have finished processing or the logs are just quiet. The 20 messages are in, and the Deriver needs time to process them in the background. This is normal — the Deriver works asynchronously. The key thing is:\n\n1. All 20 fact messages are successfully stored in Honcho ✅\n2. The Deriver was running and creating summaries ✅\n3. The conclusions will appear as the Deriver processes the batch\n\nLet me inform the user that the data is in and being processed." }, { "role": "user", "content": "kann ich das honcho gedächtnis irgendwo nachlesen?" }, { "role": "assistant", "content": "Ja! Honcho hat eine REST API. Die relevanten Endpoints:\n\n- `GET /v3/workspaces/{workspace}/messages` — alle Messages (deine 20 Fakten)\n- `GET /v3/workspaces/{workspace}/conclusions/list` — die abgeleiteten Erkenntnisse\n\nLass mich beide direkt abrufen:", "tool_calls": [ { "id": "call_3mpl0lhf", "call_id": "call_3mpl0lhf", "response_item_id": "fc_3mpl0lhf", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s http://localhost:8000/v3/workspaces/hermes-ahmed/sessions/knowledge-bootstrap/messages | python3 -m json.tool 2\\u003e\\u00261 | head -60\",\"timeout\":5}" } }, { "id": "call_hpn8mwgn", "call_id": "call_hpn8mwgn", "response_item_id": "fc_hpn8mwgn", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s http://localhost:8000/v3/workspaces/hermes-ahmed/conclusions/list | python3 -m json.tool 2\\u003e\\u00261\",\"timeout\":5}" } } ], "finish_reason": "tool_calls", "reasoning": "Honcho hat einen Vektorspeicher – man kann die gespeicherten Daten über die REST API abfragen. Lass mich die verfügbaren Endpoints checken und die Daten auslesen.", "reasoning_content": "Honcho hat einen Vektorspeicher – man kann die gespeicherten Daten über die REST API abfragen. Lass mich die verfügbaren Endpoints checken und die Daten auslesen." }, { "role": "tool", "content": "{\"output\": \"{\\n \\\"detail\\\": \\\"Method Not Allowed\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_3mpl0lhf" }, { "role": "tool", "content": "{\"output\": \"{\\n \\\"detail\\\": \\\"Method Not Allowed\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_hpn8mwgn" }, { "role": "assistant", "content": "Falsche HTTP-Methode. Lass mich die API-Doku checken:", "tool_calls": [ { "id": "call_pebvyt7z", "call_id": "call_pebvyt7z", "response_item_id": "fc_pebvyt7z", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s http://localhost:8000/openapi.json | python3 -c \\\"\\nimport json, sys\\nspec = json.load(sys.stdin)\\nfor path, methods in spec.get('paths', {}).items():\\n if 'workspace' in path or 'message' in path or 'conclusion' in path:\\n print(f'{path}: {list(methods.keys())}')\\n\\\" 2\\u003e\\u00261\",\"timeout\":5}" } } ], "finish_reason": "tool_calls", "reasoning": "Es sieht so aus, als ob einige Endpunkte Method Not Allowed zurückgeben. Lass mich die OpenAPI-Spezifikation überprüfen, um die korrekten Endpunkte und HTTP-Methoden zu finden.", "reasoning_content": "Es sieht so aus, als ob einige Endpunkte Method Not Allowed zurückgeben. Lass mich die OpenAPI-Spezifikation überprüfen, um die korrekten Endpunkte und HTTP-Methoden zu finden." }, { "role": "tool", "content": "{\"output\": \"/v3/workspaces: ['post']\\n/v3/workspaces/list: ['post']\\n/v3/workspaces/{workspace_id}: ['put', 'delete']\\n/v3/workspaces/{workspace_id}/search: ['post']\\n/v3/workspaces/{workspace_id}/queue/status: ['get']\\n/v3/workspaces/{workspace_id}/schedule_dream: ['post']\\n/v3/workspaces/{workspace_id}/peers/list: ['post']\\n/v3/workspaces/{workspace_id}/peers: ['post']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}: ['put']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/sessions: ['post']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/chat: ['post']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/representation: ['post']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/card: ['get', 'put']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/context: ['get']\\n/v3/workspaces/{workspace_id}/peers/{peer_id}/search: ['post']\\n/v3/workspaces/{workspace_id}/sessions/list: ['post']\\n/v3/workspaces/{workspace_id}/sessions: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}: ['put', 'delete']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/clone: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/peers: ['post', 'put', 'delete', 'get']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/peers/{peer_id}/config: ['get', 'put']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/context: ['get']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/summaries: ['get']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/search: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/messages: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/messages/upload: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/messages/list: ['post']\\n/v3/workspaces/{workspace_id}/sessions/{session_id}/messages/{message_id}: ['get', 'put']\\n/v3/workspaces/{workspace_id}/conclusions: ['post']\\n/v3/workspaces/{workspace_id}/conclusions/list: ['post']\\n/v3/workspaces/{workspace_id}/conclusions/query: ['post']\\n/v3/workspaces/{workspace_id}/conclusions/{conclusion_id}: ['delete']\\n/v3/workspaces/{workspace_id}/webhooks: ['post', 'get']\\n/v3/workspaces/{workspace_id}/webhooks/{endpoint_id}: ['delete']\\n/v3/workspaces/{workspace_id}/webhooks/test: ['get']\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_pebvyt7z" }, { "role": "assistant", "content": "Ah, Honcho nutzt POST für fast alles. Korrigiert:", "tool_calls": [ { "id": "call_880c2aw8", "call_id": "call_880c2aw8", "response_item_id": "fc_880c2aw8", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -X POST http://localhost:8000/v3/workspaces/hermes-ahmed/sessions/knowledge-bootstrap/messages/list -H \\\"Content-Type: application/json\\\" -d '{}' | python3 -m json.tool 2\\u003e\\u00261 | head -100\",\"timeout\":5}" } }, { "id": "call_zwqs13sr", "call_id": "call_zwqs13sr", "response_item_id": "fc_zwqs13sr", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"curl -s -X POST http://localhost:8000/v3/workspaces/hermes-ahmed/conclusions/list -H \\\"Content-Type: application/json\\\" -d '{}' | python3 -m json.tool 2\\u003e\\u00261\",\"timeout\":5}" } } ], "finish_reason": "tool_calls", "reasoning": "Honcho uses POST for most list endpoints instead of GET. Let me use the correct methods now.", "reasoning_content": "Honcho uses POST for most list endpoints instead of GET. Let me use the correct methods now." }, { "role": "tool", "content": "{\"output\": \"{\\n \\\"items\\\": [\\n {\\n \\\"id\\\": \\\"VNC7pbf68rmFSiVJuF_Qr\\\",\\n \\\"content\\\": \\\"Ahmed Zeyd Aytac lives in Wien (Vienna), Austria. He calls his AI assistant Kiwi.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 22\\n },\\n {\\n \\\"id\\\": \\\"GPmp-bPDdNaXzQCpeWf2l\\\",\\n \\\"content\\\": \\\"Ahmed prefers to be addressed as Boss or Chef. Never call him Ahmed. If using his name, use Zeyd only.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 25\\n },\\n {\\n \\\"id\\\": \\\"G_-XaQxWZgLjOeM2myr-p\\\",\\n \\\"content\\\": \\\"Ahmed prefers responses without any header or separator lines. Clean, direct messages only.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 16\\n },\\n {\\n \\\"id\\\": \\\"5bBcUghnjSXlbFg3evnl0\\\",\\n \\\"content\\\": \\\"Ahmed wants YOLO mode permanently on - never ask for command approval, just execute. Does not override reboot/shutdown blocklist.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 26\\n },\\n {\\n \\\"id\\\": \\\"loysaDx9jJlya4rha23dM\\\",\\n \\\"content\\\": \\\"Ahmed does not want end-of-session skill reviews. When he says Stop saving he means stop immediately.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 20\\n },\\n {\\n \\\"id\\\": \\\"FOLV64NLosfKqvdiuIMMg\\\",\\n \\\"content\\\": \\\"Ahmed uses a ZimaOS server (ZimaCube) as his main infrastructure. It runs Docker containers and AI workloads.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 25\\n },\\n {\\n \\\"id\\\": \\\"QVi-n-1Bd58axp1MvIpKq\\\",\\n \\\"content\\\": \\\"Ahmed has self-hosted services: PrintVault on port 3001, DocMaster on port 3000, Immich, Plex, Audiobookshelf, Kiwi Browser.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 35\\n },\\n {\\n \\\"id\\\": \\\"I2JcUwFejlnsttclquMrT\\\",\\n \\\"content\\\": \\\"Ahmed built PrintVault - a document management system at /media/HDD_1TB/PrintVault/.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 21\\n },\\n {\\n \\\"id\\\": \\\"k25SnvH9eY6-2nlKpkZNK\\\",\\n \\\"content\\\": \\\"Ahmed uses Ollama Cloud Pro for 20 dollars per month, not local Ollama. Base URL is https://ollama.com/v1.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\\n \\\"token_count\\\": 29\\n },\\n {\\n \\\"id\\\": \\\"3z5lyhcLY1AbBFhhyXoc5\\\",\\n \\\"content\\\": \\\"Model setup: deepseek-v4-pro for main chat, kimi-k2.6 for auxiliary and coding, gemma3 colon 4b for vision. 3 concurrent model limit.\\\",\\n \\\"peer_id\\\": \\\"ahmed-zeyd-aytac\\\",\\n \\\"session_id\\\": \\\"knowledge-bootstrap\\\",\\n \\\"metadata\\\": {},\\n \\\"created_at\\\": \\\"2026-05-21T08:49:48.704881Z\\\",\\n \\\"workspace_id\\\": \\\"hermes-ahmed\\\",\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_880c2aw8" }, { "role": "tool", "content": "{\"output\": \"{\\n \\\"items\\\": [],\\n \\\"total\\\": 0,\\n \\\"page\\\": 1,\\n \\\"size\\\": 50,\\n \\\"pages\\\": 0\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_zwqs13sr" }, { "role": "assistant", "content": "Die **Messages** (deine 20 Fakten) sind alle da! Hab die ersten 10 von 20 gesehen. Aber die **Conclusions** sind noch leer — der Deriver hat sie noch nicht fertig verarbeitet.\n\nKurze Übersicht wie Honcho dein Gedächtnis aufbaut:\n\n- **Messages** = Rohdaten (deine 20 Fakten) → ✅ Vollständig\n- **Conclusions** = Abgeleitete Erkenntnisse aus den Messages → 🔄 Noch in Verarbeitung\n- **Representation** = Komprimiertes Gesamtbild deiner Person → 🔄 Noch in Verarbeitung\n\nDas kannst du jederzeit selbst checken:\n```bash\n# Alle Messages lesen\ncurl -s -X POST localhost:8000/v3/workspaces/hermes-ahmed/sessions/knowledge-bootstrap/messages/list -H \"Content-Type: application/json\" -d '{}' | python3 -m json.tool\n\n# Conclusions (sobald fertig)\ncurl -s -X POST localhost:8000/v3/workspaces/hermes-ahmed/conclusions/list -H \"Content-Type: application/json\" -d '{}' | python3 -m json.tool\n\n# Semantische Suche über dein Profil\ncurl -s -X POST localhost:8000/v3/workspaces/hermes-ahmed/peers/ahmed-zeyd-aytac/search -H \"Content-Type: application/json\" -d '{\"query\": \"Wie kommuniziert Ahmed?\"}' | python3 -m json.tool\n```\n\nSoll ich später nochmal die Conclusions checken?", "reasoning": "The user asked if they can read the Honcho memory somewhere. I've retrieved the messages (all 20 facts are there), but the conclusions are still empty — the Deriver hasn't finished processing yet.\n\nLet me present what we have:\n1. Messages: All 20 facts are stored and readable\n2. Conclusions: Still empty (Deriver still processing)\n\nI should show the user what's there and explain the state." }, { "role": "user", "content": "Check meine Mails, der Notar aht geantwortet. Schreibe ihm, dass du dich bedankst, dass das passt und dass du dich zwecks terminvereinabrung an seine kanzlei wenden wirst zuerst der entwurf hier bitte" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_ntowlore", "call_id": "call_ntowlore", "response_item_id": "fc_ntowlore", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"google-workspace\"}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Boss möchte:\n1. Seine Mails checken (speziell vom Notar)\n2. Eine Antwort-Mail entwerfen, die sich bedankt, bestätigt dass es passt, und ankündigt dass er sich zwecks Terminvereinbarung an die Kanzlei wenden wird\n3. Zuerst den Entwurf hier zeigen\n\nIch brauche die Google Workspace Skills für Gmail. Lass mich die laden.", "reasoning_content": "Der Boss möchte:\n1. Seine Mails checken (speziell vom Notar)\n2. Eine Antwort-Mail entwerfen, die sich bedankt, bestätigt dass es passt, und ankündigt dass er sich zwecks Terminvereinbarung an die Kanzlei wenden wird\n3. Zuerst den Entwurf hier zeigen\n\nIch brauche die Google Workspace Skills für Gmail. Lass mich die laden." }, { "role": "tool", "content": "{\"success\": true, \"name\": \"google-workspace\", \"description\": \"Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\", \"tags\": [\"Google\", \"Gmail\", \"Calendar\", \"Drive\", \"Sheets\", \"Docs\", \"Contacts\", \"Email\", \"OAuth\"], \"related_skills\": [\"himalaya\"], \"content\": \"---\\nname: google-workspace\\ndescription: \\\"Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\\\"\\nversion: 1.0.1\\nauthor: Nous Research\\nlicense: MIT\\nrequired_credential_files:\\n - path: /DATA/AppData/hermes/google_client_secret.json\\n description: Google OAuth2 client credentials - project amadeus-494810\\n - path: /DATA/.hermes/google_token.json\\n description: Google OAuth2 token - ahmed.aytac@gmail.com, all scopes granted\\nmetadata:\\n hermes:\\n tags: [Google, Gmail, Calendar, Drive, Sheets, Docs, Contacts, Email, OAuth]\\n homepage: https://github.com/NousResearch/hermes-agent\\n related_skills: [himalaya]\\n---\\n\\n# Google Workspace\\n\\nGmail, Calendar, Drive, Contacts, Sheets, and Docs — through Hermes-managed OAuth and a thin CLI wrapper. When `gws` is installed, the skill uses it as the execution backend for broader Google Workspace coverage; otherwise it falls back to the bundled Python client implementation.\\n\\n## References\\n\\n- `references/gmail-search-syntax.md` — Gmail search operators (is:unread, from:, newer_than:, etc.)\\n- `references/bulk-gmail-operations.md` — Bulk deletion: rate-limiting, retry patterns, date-range pagination\\n\\n## Scripts\\n\\n- `scripts/setup.py` — OAuth2 setup (run once to authorize)\\n- `scripts/google_api.py` — compatibility wrapper CLI. It prefers `gws` for operations when available, while preserving Hermes' existing JSON output contract.\\n\\n## First-Time Setup\\n\\nThe setup is fully non-interactive — you drive it step by step so it works\\non CLI, Telegram, Discord, or any platform.\\n\\nDefine a shorthand first:\\n\\n```bash\\nGSETUP=\\\"python ${HERMES_HOME:-$HOME/.hermes}/skills/productivity/google-workspace/scripts/setup.py\\\"\\n```\\n\\n### Step 0: Check if already set up\\n\\n```bash\\n$GSETUP --check\\n```\\n\\nIf it prints `AUTHENTICATED`, skip to Usage — setup is already done.\\n\\n### Step 1: Triage — ask the user what they need\\n\\nBefore starting OAuth setup, ask the user TWO questions:\\n\\n**Question 1: \\\"What Google services do you need? Just email, or also\\nCalendar/Drive/Sheets/Docs?\\\"**\\n\\n- **Email only** → They don't need this skill at all. Use the `himalaya` skill\\n instead — it works with a Gmail App Password (Settings → Security → App\\n Passwords) and takes 2 minutes to set up. No Google Cloud project needed.\\n Load the himalaya skill and follow its setup instructions.\\n\\n- **Anything beyond email** → Continue with this skill. Note: the setup\\n script (`setup.py`) always requests the full SCOPES list (Gmail\\n read/send/modify, Calendar, Drive read, Contacts, Sheets, Docs read).\\n There is no `--services` flag to narrow scopes — the user can deselect\\n individual permissions in Google's consent screen if desired.\\n\\n**Question 2: \\\"Does your Google account use Advanced Protection (hardware\\nsecurity keys required to sign in)? If you're not sure, you probably don't\\n— it's something you would have explicitly enrolled in.\\\"**\\n\\n- **No / Not sure** → Normal setup. Continue below.\\n- **Yes** → Their Workspace admin must add the OAuth client ID to the org's\\n allowed apps list before Step 4 will work. Let them know upfront.\\n\\n### Step 2: Create OAuth credentials (one-time, ~5 minutes)\\n\\nTell the user:\\n\\n> You need a Google Cloud OAuth client. This is a one-time setup:\\n>\\n> 1. Create or select a project:\\n> https://console.cloud.google.com/projectselector2/home/dashboard\\n> 2. Enable the required APIs from the API Library:\\n> https://console.cloud.google.com/apis/library\\n> Enable: Gmail API, Google Calendar API, Google Drive API,\\n> Google Sheets API, Google Docs API, People API\\n> 3. Create the OAuth client here:\\n> https://console.cloud.google.com/apis/credentials\\n> Credentials → Create Credentials → OAuth 2.0 Client ID\\n> 4. Application type: \\\"Desktop app\\\" → Create\\n> 5. If the app is still in Testing, add the user's Google account as a test user here:\\n> https://console.cloud.google.com/auth/audience\\n> Audience → Test users → Add users\\n> 6. Download the JSON file and tell me the file path\\n>\\n> Important Hermes CLI note: if the file path starts with `/`, do NOT send only the bare path as its own message in the CLI, because it can be mistaken for a slash command. Send it in a sentence instead, like:\\n> `The JSON file path is: /home/user/Downloads/client_secret_....json`\\n\\nOnce they provide the path:\\n\\n```bash\\n$GSETUP --client-secret /path/to/client_secret.json\\n```\\n\\nIf they paste the raw client ID / client secret values instead of a file path,\\nwrite a valid Desktop OAuth JSON file for them yourself, save it somewhere\\nexplicit (for example `~/Downloads/hermes-google-client-secret.json`), then run\\n`--client-secret` against that file.\\n\\n### Step 3: Get authorization URL\\n\\n```bash\\n$GSETUP --auth-url\\n```\\n\\nThe script prints the full OAuth URL to stdout. The agent must extract it and\\nsend it to the user as a clickable link.\\n\\nAgent rules for this step:\\n- The script outputs ONLY the URL (one line) — no JSON wrapper, no `auth_url` field.\\n- Send that exact URL to the user as a single line. It needs to be a clickable link.\\n- Tell the user that the browser will likely fail on `http://localhost:1` after approval, and that this is expected.\\n- Tell them to copy the ENTIRE redirected URL from the browser address bar.\\n- If the user gets `Error 403: access_denied`, send them directly to `https://console.cloud.google.com/auth/audience` to add themselves as a test user.\\n\\n### Step 4: Exchange the code\\n\\nThe user will paste back either a URL like `http://localhost:1/?code=4/0A...&scope=...`\\nor just the code string. Either works. The `--auth-url` step stores a temporary\\npending OAuth session locally so `--auth-code` can complete the PKCE exchange\\nlater, even on headless systems:\\n\\n```bash\\n$GSETUP --auth-code \\\"THE_URL_OR_CODE_THE_USER_PASTED\\\"\\n```\\n\\nIf `--auth-code` fails because the code expired, was already used, or came from\\nan older browser tab, run `$GSETUP --auth-url` again to get a fresh URL.\\n\\n### Step 5: Verify\\n\\n```bash\\n$GSETUP --check\\n```\\n\\nShould print `AUTHENTICATED`. Setup is complete — token refreshes automatically from now on.\\n\\n### Notes\\n\\n- Token is stored at `~/.hermes/google_token.json` and auto-refreshes.\\n- Pending OAuth session state/verifier are stored temporarily at `~/.hermes/google_oauth_pending.json` until exchange completes.\\n- If `gws` is installed, `google_api.py` points it at the same `~/.hermes/google_token.json` credentials file. Users do not need to run a separate `gws auth login` flow.\\n- To revoke: `$GSETUP --revoke`\\n- **Zeyd's setup:** Client secret stored at `/DATA/AppData/hermes/google_client_secret.json` (project: `amadeus-494810`, client ID `760929667815-...`). Token at `/DATA/.hermes/google_token.json` (profile-scoped). Gmail address: `ahmed.aytac@gmail.com`. All scopes granted (Gmail read/send/modify, Calendar, Drive, Contacts, Sheets, Docs). Do NOT re-ask for client secret path if these files exist.\\n\\n## Usage\\n\\nAll commands go through the API script. Set `GAPI` as a shorthand:\\n\\n```bash\\nGAPI=\\\"python ${HERMES_HOME:-$HOME/.hermes}/skills/productivity/google-workspace/scripts/google_api.py\\\"\\n```\\n\\n### Gmail\\n\\n```bash\\n# Search (returns JSON array with id, from, subject, date, snippet)\\n$GAPI gmail search \\\"is:unread\\\" --max 10\\n$GAPI gmail search \\\"from:boss@company.com newer_than:1d\\\"\\n$GAPI gmail search \\\"has:attachment filename:pdf newer_than:7d\\\"\\n\\n# Read full message (returns JSON with body text)\\n$GAPI gmail get MESSAGE_ID\\n\\n# Send\\n$GAPI gmail send --to user@example.com --subject \\\"Hello\\\" --body \\\"Message text\\\"\\n$GAPI gmail send --to user@example.com --subject \\\"Report\\\" --body \\\"

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\\\" --html\\n$GAPI gmail send --to user@example.com --subject \\\"Hello\\\" --from '\\\"Research Agent\\\" ' --body \\\"Message text\\\"\\n\\n# Reply (automatically threads and sets In-Reply-To)\\n$GAPI gmail reply MESSAGE_ID --body \\\"Thanks, that works for me.\\\"\\n$GAPI gmail reply MESSAGE_ID --from '\\\"Support Bot\\\" ' --body \\\"Thanks\\\"\\n\\n# Labels\\n$GAPI gmail labels\\n$GAPI gmail modify MESSAGE_ID --add-labels LABEL_ID\\n$GAPI gmail modify MESSAGE_ID --remove-labels UNREAD\\n```\\n\\n### Calendar\\n\\n```bash\\n# List events (defaults to next 7 days)\\n$GAPI calendar list\\n$GAPI calendar list --start 2026-03-01T00:00:00Z --end 2026-03-07T23:59:59Z\\n\\n# Create event (ISO 8601 with timezone required)\\n$GAPI calendar create --summary \\\"Team Standup\\\" --start 2026-03-01T10:00:00-06:00 --end 2026-03-01T10:30:00-06:00\\n$GAPI calendar create --summary \\\"Lunch\\\" --start 2026-03-01T12:00:00Z --end 2026-03-01T13:00:00Z --location \\\"Cafe\\\"\\n$GAPI calendar create --summary \\\"Review\\\" --start 2026-03-01T14:00:00Z --end 2026-03-01T15:00:00Z --attendees \\\"alice@co.com,bob@co.com\\\"\\n\\n# Delete event\\n$GAPI calendar delete EVENT_ID\\n```\\n\\n### Drive\\n\\n```bash\\n$GAPI drive search \\\"quarterly report\\\" --max 10\\n$GAPI drive search \\\"mimeType='application/pdf'\\\" --raw-query --max 5\\n```\\n\\n### Contacts\\n\\n```bash\\n$GAPI contacts list --max 20\\n```\\n\\n### Sheets\\n\\n```bash\\n# Read\\n$GAPI sheets get SHEET_ID \\\"Sheet1!A1:D10\\\"\\n\\n# Write\\n$GAPI sheets update SHEET_ID \\\"Sheet1!A1:B2\\\" --values '[[\\\"Name\\\",\\\"Score\\\"],[\\\"Alice\\\",\\\"95\\\"]]'\\n\\n# Append rows\\n$GAPI sheets append SHEET_ID \\\"Sheet1!A:C\\\" --values '[[\\\"new\\\",\\\"row\\\",\\\"data\\\"]]'\\n```\\n\\n### Docs\\n\\n```bash\\n$GAPI docs get DOC_ID\\n```\\n\\n## Output Format\\n\\nAll commands return JSON. Parse with `jq` or read directly. Key fields:\\n\\n- **Gmail search**: `[{id, threadId, from, to, subject, date, snippet, labels}]`\\n- **Gmail get**: `{id, threadId, from, to, subject, date, labels, body}`\\n- **Gmail send/reply**: `{status: \\\"sent\\\", id, threadId}`\\n- **Calendar list**: `[{id, summary, start, end, location, description, htmlLink}]`\\n- **Calendar create**: `{status: \\\"created\\\", id, summary, htmlLink}`\\n- **Drive search**: `[{id, name, mimeType, modifiedTime, webViewLink}]`\\n- **Contacts list**: `[{name, emails: [...], phones: [...]}]`\\n- **Sheets get**: `[[cell, cell, ...], ...]`\\n\\n## Rules\\n\\n1. **Never send email or create/delete events without confirming with the user first.** Show the draft content and ask for approval.\\n2. **Check auth before first use** — run `setup.py --check`. If it fails, guide the user through setup.\\n3. **Use the Gmail search syntax reference** for complex queries — load it with `skill_view(\\\"google-workspace\\\", file_path=\\\"references/gmail-search-syntax.md\\\")`.\\n4. **Calendar times must include timezone** — always use ISO 8601 with offset (e.g., `2026-03-01T10:00:00-06:00`) or UTC (`Z`).\\n5. **Respect rate limits** — avoid rapid-fire sequential API calls. Batch reads when possible.\\n\\n## Pitfalls\\n\\n- **Image-extracted addresses**: When the recipient email comes from an image (screenshot, WhatsApp share, photo), OCR/vision can misread characters — e.g. `sanktmarien.at` read as `sanktmariaen.at`. Before sending, sanity-check the domain against known patterns (schools, companies, etc.) and confirm with the user if anything looks off. A wrong domain means the email goes into a black hole with no bounce.\\n\\n## Troubleshooting\\n\\n| Problem | Fix |\\n|---------|-----|\\n| `NOT_AUTHENTICATED` | Run setup Steps 2-5 above |\\n| `REFRESH_FAILED` | Token revoked or expired — redo Steps 3-5 |\\n| `HttpError 403: Insufficient Permission` | Missing API scope — `$GSETUP --revoke` then redo Steps 3-5 |\\n| `HttpError 403: Access Not Configured` | API not enabled — user needs to enable it in Google Cloud Console |\\n| `ModuleNotFoundError` | Run `$GSETUP --install-deps` |\\n| Advanced Protection blocks auth | Workspace admin must allowlist the OAuth client ID |\\n| Terminal tool blocks `&` in subject/body as backgrounding | False positive from the terminal sandbox — just re-run; it usually succeeds on the retry. If it persists, escape the `&` as `\\\\&` or quote the entire `--body` string with single quotes instead of double quotes. |\\n\\n## Revoking Access\\n\\n```bash\\n$GSETUP --revoke\\n```\\n\", \"path\": \"productivity/google-workspace/SKILL.md\", \"skill_dir\": \"/DATA/.hermes/skills/productivity/google-workspace\", \"linked_files\": {\"references\": [\"references/bulk-gmail-operations.md\", \"references/gmail-search-syntax.md\"], \"scripts\": [\"scripts/_hermes_home.py\", \"scripts/google_api.py\", \"scripts/gws_bridge.py\", \"scripts/setup.py\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [\"/DATA/AppData/hermes/google_client_secret.json\", \"/DATA/.hermes/google_token.json\"], \"missing_required_commands\": [], \"setup_needed\": true, \"setup_skipped\": false, \"readiness_status\": \"setup_needed\", \"setup_note\": \"Setup needed before using this skill: missing file /DATA/AppData/hermes/google_client_secret.json, file /DATA/.hermes/google_token.json.\", \"metadata\": {\"hermes\": {\"tags\": [\"Google\", \"Gmail\", \"Calendar\", \"Drive\", \"Sheets\", \"Docs\", \"Contacts\", \"Email\", \"OAuth\"], \"homepage\": \"https://github.com/NousResearch/hermes-agent\", \"related_skills\": [\"himalaya\"]}}}", "tool_call_id": "call_ntowlore" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_ss77dms8", "call_id": "call_ss77dms8", "response_item_id": "fc_ss77dms8", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"GAPI=\\\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\"\\n$GAPI gmail search \\\"Notar\\\" --max 10\",\"timeout\":15}" } } ], "finish_reason": "tool_calls", "reasoning": "The skill says all setup is done, the token is at `/DATA/.hermes/google_token.json`. I need to:\n\n1. Search for emails from \"Notar\" (notary) in Gmail\n2. Find the latest response from the notary\n3. Show the email content\n4. Draft a reply thanking them, confirming it works, and saying you'll contact their office for scheduling\n\nLet me search for \"Notar\" in Gmail first.", "reasoning_content": "The skill says all setup is done, the token is at `/DATA/.hermes/google_token.json`. I need to:\n\n1. Search for emails from \"Notar\" (notary) in Gmail\n2. Find the latest response from the notary\n3. Show the email content\n4. Draft a reply thanking them, confirming it works, and saying you'll contact their office for scheduling\n\nLet me search for \"Notar\" in Gmail first." }, { "role": "tool", "content": "{\"output\": \"[\\n {\\n \\\"id\\\": \\\"19e40ccf06b2c769\\\",\\n \\\"threadId\\\": \\\"19e3f973480d0005\\\",\\n \\\"from\\\": \\\"Notariat Stockinger \\\",\\n \\\"to\\\": \\\"\\\\\\\"'Ahmed Zeyd Aytac'\\\\\\\" \\\",\\n \\\"subject\\\": \\\"AW: Anfrage – Begleitung Liquidation Aytac Solutions GmbH und ninetyOne Communications GmbH\\\",\\n \\\"date\\\": \\\"Tue, 19 May 2026 15:13:51 +0000\\\",\\n \\\"snippet\\\": \\\"Danke für die Anfrage, ich habe direkt unten im Mail geantwortet. Mit freundlichen Grüßen Mag. Harald Stockinger öffentlicher Notar Notariatskanzlei Mag. Harald Stockinger Rilkeplatz 1, A-1040 Wien Tel\\\",\\n \\\"labels\\\": [\\n \\\"IMPORTANT\\\",\\n \\\"CATEGORY_PERSONAL\\\",\\n \\\"INBOX\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19e3f973480d0005\\\",\\n \\\"threadId\\\": \\\"19e3f973480d0005\\\",\\n \\\"from\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"to\\\": \\\"\\\",\\n \\\"subject\\\": \\\"\\\",\\n \\\"date\\\": \\\"Tue, 19 May 2026 02:35:34 -0700\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Mag. Stockinger, ich war bereits einige Male gemeinsam mit Herrn Baumeister Marjan Mihailovic (Living Dream Immoinvest GmbH) bei Ihnen in der Kanzlei, wobei wir damals auch kurz die\\\",\\n \\\"labels\\\": [\\n \\\"SENT\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19d6dedb1d2e97cd\\\",\\n \\\"threadId\\\": \\\"19d6dedb1d2e97cd\\\",\\n \\\"from\\\": \\\"Madeleine Petrovic - Tierschutz Austria \\\",\\n \\\"to\\\": \\\"ahmed.aytac@gmail.com\\\",\\n \\\"subject\\\": \\\"Wochen des Guten Testaments\\\",\\n \\\"date\\\": \\\"Wed, 08 Apr 2026 18:29:46 +0200 (CEST)\\\",\\n \\\"snippet\\\": \\\"Informationen zu Erbrecht, Testament und Vorsorge für den Notfall + weitere Events Online ansehen Hallo Ahmed Zeyd! Vom 09. April bis 12. Mai 2026 finden die Wochen des Guten Testaments statt. Die\\\",\\n \\\"labels\\\": [\\n \\\"CATEGORY_UPDATES\\\",\\n \\\"INBOX\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19c65996a982b230\\\",\\n \\\"threadId\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"from\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"to\\\": \\\"\\\\\\\"Mag. Robert Charvat\\\\\\\" \\\",\\n \\\"subject\\\": \\\"Re: Fragen JA Aytac Solutions\\\",\\n \\\"date\\\": \\\"Mon, 16 Feb 2026 09:37:58 +0100\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Magister, in der Beilage die Dokumente. Haben Sie herzlichen Dank! Mit freundlichen Grüßen Ahmed Zeyd Aytac Am Mi., 11. Feb. 2026 um 15:38 Uhr schrieb Mag. Robert Charvat <charvat\\\",\\n \\\"labels\\\": [\\n \\\"SENT\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19c4d233dafe12af\\\",\\n \\\"threadId\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"from\\\": \\\"\\\\\\\"Mag. Robert Charvat\\\\\\\" \\\",\\n \\\"to\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"subject\\\": \\\"AW: Fragen JA Aytac Solutions\\\",\\n \\\"date\\\": \\\"Wed, 11 Feb 2026 14:37:49 +0000\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Aytac! In der Anlage der JA, StE etc. Bitte lassen Sie mir die Unterlagen unterfertigt zukommen, damit ich die Einreichung beim FB durchführen kann. LG RC Von: Ahmed Zeyd Aytac <\\\",\\n \\\"labels\\\": [\\n \\\"IMPORTANT\\\",\\n \\\"CATEGORY_PERSONAL\\\",\\n \\\"INBOX\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19c31fa7a371330f\\\",\\n \\\"threadId\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"from\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"to\\\": \\\"\\\\\\\"Mag. Robert Charvat\\\\\\\" \\\",\\n \\\"subject\\\": \\\"Re: Fragen JA Aytac Solutions\\\",\\n \\\"date\\\": \\\"Fri, 6 Feb 2026 09:03:44 +0100\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Magister! Hier noch die HN vom Notar. MfG Ahmed Zeyd Aytac Am Di., 27. Jan. 2026 um 15:21 Uhr schrieb Ahmed Zeyd Aytac <ahmed.aytac@gmail.com>: Sehr geehrter Herr Magister!\\\",\\n \\\"labels\\\": [\\n \\\"SENT\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19c31b20d391a96f\\\",\\n \\\"threadId\\\": \\\"19c31b20d391a96f\\\",\\n \\\"from\\\": \\\"\\\\\\\"Mireille Lichal (Notar Reim)\\\\\\\" \\\",\\n \\\"to\\\": \\\"\\\\\\\"'Ahmed Zeyd Aytac'\\\\\\\" \\\",\\n \\\"subject\\\": \\\"AW: Bitte Übermittlung HNZeyd Aytac \\\",\\n \\\"date\\\": \\\"Fri, 6 Feb 2026 06:44:35 +0000\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Zeyd Aytac! In der Anlage übermittle ich die beiden Honorarnoten. Mit freundlichen Grüßen Mireille Lichal, Notariatsassistentin DW 21 Von: Ahmed Zeyd Aytac <ahmed.aytac@gmail.com\\\",\\n \\\"labels\\\": [\\n \\\"IMPORTANT\\\",\\n \\\"CATEGORY_PERSONAL\\\",\\n \\\"INBOX\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19c2e2b1e16cf242\\\",\\n \\\"threadId\\\": \\\"19c2e298b1851787\\\",\\n \\\"from\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"to\\\": \\\"office@notar-reim.at\\\",\\n \\\"subject\\\": \\\"Bitte Übermittlung HN\\\",\\n \\\"date\\\": \\\"Thu, 5 Feb 2026 15:18:23 +0100\\\",\\n \\\"snippet\\\": \\\"Liebes Team! Leider kann ich aktuell die HN 1394/2024 sowie 1397/2024 nicht mehr finden, die ich aber dringend für meine Buchhaltung brauche. Wären Sie so freundlich, mir diese IHN nochmals zu\\\",\\n \\\"labels\\\": [\\n \\\"SENT\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19bffd4f0aa718c0\\\",\\n \\\"threadId\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"from\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"to\\\": \\\"\\\\\\\"Mag. Robert Charvat\\\\\\\" \\\",\\n \\\"subject\\\": \\\"Re: Fragen JA Aytac Solutions\\\",\\n \\\"date\\\": \\\"Tue, 27 Jan 2026 15:21:43 +0100\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Magister! Anbei die Infos! 1. Rechnung an Dr. Golabi für Beratungsleistung (RE 1029 in Anlage) 2. Munchos ausbuchen gerne. 3. Von der Kuvarz wurden umfassende Waren für den Kunden\\\",\\n \\\"labels\\\": [\\n \\\"SENT\\\"\\n ]\\n },\\n {\\n \\\"id\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"threadId\\\": \\\"19bffc30ac2e2ef4\\\",\\n \\\"from\\\": \\\"\\\\\\\"Mag. Robert Charvat\\\\\\\" \\\",\\n \\\"to\\\": \\\"Ahmed Zeyd Aytac \\\",\\n \\\"subject\\\": \\\"Fragen JA Aytac Solutions\\\",\\n \\\"date\\\": \\\"Tue, 27 Jan 2026 14:02:06 +0000\\\",\\n \\\"snippet\\\": \\\"Sehr geehrter Herr Aytac! Folgende Fragen bzw Anmerkungen zum JA 2024: Am 17. September haben Sie eine Zahlung von € 167,50 von Fr Dr Golabi erhalten. Wofür war diese Zahlung? Bei Munchos gibt es eine\\\",\\n \\\"labels\\\": [\\n \\\"IMPORTANT\\\",\\n \\\"CATEGORY_PERSONAL\\\",\\n \\\"INBOX\\\"\\n ]\\n }\\n]\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_ss77dms8" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_sw068o9y", "call_id": "call_sw068o9y", "response_item_id": "fc_sw068o9y", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"GAPI=\\\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\"\\n$GAPI gmail get 19e40ccf06b2c769\",\"timeout\":10}" } } ], "finish_reason": "tool_calls", "reasoning": "Der Notar Stockinger hat geantwortet! Lass mich die ganze Mail lesen und dann den Entwurf schreiben.", "reasoning_content": "Der Notar Stockinger hat geantwortet! Lass mich die ganze Mail lesen und dann den Entwurf schreiben." }, { "role": "tool", "content": "{\"output\": \"{\\n \\\"id\\\": \\\"19e40ccf06b2c769\\\",\\n \\\"threadId\\\": \\\"19e3f973480d0005\\\",\\n \\\"from\\\": \\\"Notariat Stockinger \\\",\\n \\\"to\\\": \\\"\\\\\\\"'Ahmed Zeyd Aytac'\\\\\\\" \\\",\\n \\\"subject\\\": \\\"AW: Anfrage – Begleitung Liquidation Aytac Solutions GmbH und ninetyOne Communications GmbH\\\",\\n \\\"date\\\": \\\"Tue, 19 May 2026 15:13:51 +0000\\\",\\n \\\"labels\\\": [\\n \\\"IMPORTANT\\\",\\n \\\"CATEGORY_PERSONAL\\\",\\n \\\"INBOX\\\"\\n ],\\n \\\"body\\\": \\\"Danke für die Anfrage, ich habe direkt unten im Mail geantwortet.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nMit freundlichen Grüßen\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nMag. Harald Stockinger\\\\r\\\\n\\\\r\\\\nöffentlicher Notar\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nNotariatskanzlei Mag. Harald Stockinger\\\\r\\\\n\\\\r\\\\nRilkeplatz 1, A-1040 Wien\\\\r\\\\n\\\\r\\\\nTel: +43 (1) 505 40 21\\\\r\\\\n\\\\r\\\\nE-Mail: office@notar-stockinger.at\\\\r\\\\n\\\\r\\\\nInternet: www.notar-stockinger.at\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nDiese Nachricht und der Inhalt allfälliger angeschlossener Dateien sind vertraulich und nur für den/die Adressaten bestimmt. Sollten Sie nicht der beabsichtigte Adressat sein, ist jede Offenlegung, Weiterleitung oder sonstige Verwendung dieser Information nicht gestattet. In diesem Fall bitten wir, den Absender zu verständigen und die Information zu vernichten.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n-----Ursprüngliche Nachricht-----\\\\r\\\\nVon: Ahmed Zeyd Aytac \\\\r\\\\nGesendet: Dienstag, 19. Mai 2026 11:36\\\\r\\\\nAn: Notariat Stockinger \\\\r\\\\nBetreff: Anfrage – Begleitung Liquidation Aytac Solutions GmbH und ninetyOne Communications GmbH\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nSehr geehrter Herr Mag. Stockinger,\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nich war bereits einige Male gemeinsam mit Herrn Baumeister Marjan Mihailovic (Living Dream Immoinvest GmbH) bei Ihnen in der Kanzlei, wobei wir damals auch kurz die Liquidation meiner Aytac Solutions GmbH angesprochen haben.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nNun möchte ich das Thema konkret angehen und bitte um Ihre Unterstützung bei folgenden zwei Gesellschaften:\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n1) Aytac Solutions GmbH (FN 604946b)\\\\r\\\\n\\\\r\\\\nHier benötige ich eine komplette Begleitung der Liquidation – vom Gesellschafterbeschluss über die Einbringung ins Firmenbuch bis zur Durchführung der Liquidation.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nAls Notarkosten für die komplette Liquidation (Generalversammlung, Firmenbucheingabe, Beglaubigungen, Löschung aus dem Firmenbuch, etc…) fällt ein reduzierter pauschalierter Betrag in Höhe von € 1.200,- zuzüglich UST und Barauslagen (Stempelgebühren für die Generalversammlung € 221,-; Eingabegebühren ca. € 200.00) an.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n2) ninetyOne Communications GmbH in Liquidation (FN 627968h) Die Schlussbilanz wurde bereits eingebracht (ich bin seit 15.10.2024 als Liquidator eingetragen). Hier fehlt nur mehr der letzte Beschluss (Schluss der Liquidation / Löschung).\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nNotarkosten für Beschluss (unbeglaubigt) und Firmenbucheingabe (beglaubigte Unterschrift Liquidator) betragen € 400,- plus Ust plus Barauslagen von ca. € 100,-\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nKönnten Sie mir bitte ein ungefähres Preisangebot für diese beiden Vorgänge nennen?\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nFür Rückfragen stehe ich gerne zur Verfügung.\\\\r\\\\n\\\\r\\\\n\\\\r\\\\n\\\\r\\\\nMit freundlichen Grüßen,\\\\r\\\\n\\\\r\\\\nAhmed Zeyd Aytac\\\\r\\\\n\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_sw068o9y" }, { "role": "assistant", "content": "Antwort von Mag. Stockinger ist da — er hat die Preise direkt in deine ursprüngliche Mail reingeschrieben:\n\n- **Aytac Solutions GmbH**: €1.200 + USt + Barauslagen (~€421) für komplette Liquidation\n- **ninetyOne Communications GmbH**: €400 + USt + Barauslagen (~€100) für Schlussbeschluss/Löschung\n\nHier der Entwurf:\n\n---\n\nSehr geehrter Herr Mag. Stockinger,\n\nvielen Dank für Ihre Rückmeldung und die transparenten Preisangaben — das passt so für mich.\n\nIch werde mich zeitnah telefonisch bei Ihrer Kanzlei melden, um einen Termin für die weitere Vorgehensweise zu vereinbaren.\n\nMit freundlichen Grüßen,\nAhmed Zeyd Aytac\n\n---\n\nPasst das so? Soll ich's direkt als Reply auf seine Mail senden?", "reasoning": "Der Notar hat geantwortet! Er hat die Kosten direkt in deiner ursprünglichen Mail beantwortet („direkt unten im Mail geantwortet\"). Die Details:\n\n- **Aytac Solutions GmbH**: Pauschal €1.200 + USt + Barauslagen (Stempelgebühren €221, Eingabegebühren ca. €200) für komplette Liquidation\n- **ninetyOne Communications GmbH**: €400 + USt + Barauslagen ca. €100 für Schlussbeschluss/Löschung\n\nDer Notar will einfach nur sagen: \"Danke für die Anfrage, hier sind die Preise - hab sie direkt in deine Mail reingeschrieben.\" Aber du willst einen Entwurf für eine Antwort. Der Boss möchte den Entwurf zuerst sehen.\n\nEr sagt: \"Schreibe ihm, dass du dich bedankst, dass das passt und dass du dich zwecks terminvereinabrung an seine kanzlei wenden wirst zuerst der entwurf hier bitte\"\n\nAlso Entwurf:\n- Bedanken\n- Passt / Preise akzeptiert\n- Werde mich zwecks Terminvereinbarung an die Kanzlei wenden\n\nJetzt muss ich das in der Rolle von Ahmed Zeyd Aytac schreiben, in österreichischem Deutsch, formell für einen Notar.\n\nEntwurf:\n\nSehr geehrter Herr Mag. Stockinger,\n\nvielen Dank für Ihre Rückmeldung und die klaren Preisangaben — das passt so für mich.\n\nIch werde mich zeitnah telefonisch bei Ihrer Kanzlei melden, um einen Termin zur weiteren Vorgehensweise zu vereinbaren.\n\nMit freundlichen Grüßen,\nAhmed Zeyd Aytac\n\nDas ist clean, direkt, formell. Perfekt." }, { "role": "user", "content": "Sehr geehrter Herr Mag. Stockinger,\n\nvielen Dank für Ihre Rückmeldung - das passt.\n\nIch wende mich an ihre Kanzlei zwecks Terminvereinbarung!\n\nMit freundlichen Grüßen,\nAhmed Zeyd Aytac\n\nBitte so ihm schicken als antwort" }, { "role": "assistant", "content": "", "reasoning": "The user wants me to send this as a reply to the email from Mag. Stockinger. The original email ID is 19e40ccf06b2c769.\n\nLet me compose the exact text the user provided and send it as a reply.", "finish_reason": "tool_calls", "reasoning_content": "The user wants me to send this as a reply to the email from Mag. Stockinger. The original email ID is 19e40ccf06b2c769.\n\nLet me compose the exact text the user provided and send it as a reply.", "tool_calls": [ { "id": "call_7uwksjc7", "call_id": "call_7uwksjc7", "response_item_id": "fc_7uwksjc7", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"GAPI=\\\"python /DATA/.hermes/skills/productivity/google-workspace/scripts/google_api.py\\\"\\n$GAPI gmail reply 19e40ccf06b2c769 --body \\\"Sehr geehrter Herr Mag. Stockinger,\\n\\nvielen Dank für Ihre Rückmeldung - das passt.\\n\\nIch wende mich an ihre Kanzlei zwecks Terminvereinbarung!\\n\\nMit freundlichen Grüßen,\\nAhmed Zeyd Aytac\\\"\",\"timeout\":15}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\n \\\"status\\\": \\\"sent\\\",\\n \\\"id\\\": \\\"19e49d09a62034d2\\\",\\n \\\"threadId\\\": \\\"19e3f973480d0005\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_7uwksjc7" }, { "role": "assistant", "content": "Gesendet, Boss. Ist als Reply auf seine Mail im selben Thread raus. ✅", "reasoning": "The email was sent successfully. Let me confirm to the boss.", "finish_reason": "stop", "reasoning_content": "The email was sent successfully. Let me confirm to the boss." }, { "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": "Nothing to save. Session ran smoothly — Google Workspace skill worked as documented, search/get/reply flow was clean, and the minor style correction (shorter, more direct German email) is already covered by your existing preference for concise messages.", "reasoning": "Let me review this session carefully to identify any skill-worthy learnings.\n\nLooking at the session:\n\n1. The user asked me to check his emails from a notary, draft a reply, then send it. The main task was email-related using Google Workspace/Gmail.\n\n2. The workflow was straightforward:\n - Loaded the google-workspace skill\n - Searched for \"Notar\" emails\n - Got the specific email\n - Drafted a reply (user revised it slightly)\n - Sent the reply\n\n3. User corrections/feedback:\n - I drafted a reply with slightly different wording (\"Vielen Dank für Ihre Rückmeldung und die transparenten Preisangaben — das passt so für mich. Ich werde mich zeitnah telefonisch bei Ihrer Kanzlei melden...\")\n - The user preferred: \"Vielen Dank für Ihre Rückmeldung - das passt. Ich wende mich an ihre Kanzlei zwecks Terminvereinbarung!\"\n - This was more concise, less formal/salesy. The user wanted it shorter and more direct.\n\n4. This is a style preference correction but it's about German email communication style — the user prefers concise, direct language even in formal business correspondence.\n\n5. Let me think about whether this warrants a skill update...\n\nThe google-workspace skill was loaded. The correction was about my drafting style — the user made it shorter and more direct. This aligns with the general preference \"concise, direct messages\" that's already in memory.\n\nHowever, the specific lesson here is: when drafting German business emails for Zeyd, keep them short and direct. Don't embellish with extra commentary like \"transparente Preisangaben\" or \"zeitnah telefonisch\" unless the user asks for it.\n\nThis is subtle enough that I'm not sure it warrants a full skill patch. It's more of a general communication style thing that's already captured in memory (\"Clean, direct messages only\").\n\nThe google-workspace skill itself worked perfectly — the `gmail search`, `gmail get`, and `gmail reply` commands all worked as documented. No issues with the tooling.\n\nI think this falls under \"Nothing to save\" — the session was smooth, the skill worked as expected, and the minor style correction is already covered by the existing memory preference for concise/direct communication.", "finish_reason": "stop", "reasoning_content": "Let me review this session carefully to identify any skill-worthy learnings.\n\nLooking at the session:\n\n1. The user asked me to check his emails from a notary, draft a reply, then send it. The main task was email-related using Google Workspace/Gmail.\n\n2. The workflow was straightforward:\n - Loaded the google-workspace skill\n - Searched for \"Notar\" emails\n - Got the specific email\n - Drafted a reply (user revised it slightly)\n - Sent the reply\n\n3. User corrections/feedback:\n - I drafted a reply with slightly different wording (\"Vielen Dank für Ihre Rückmeldung und die transparenten Preisangaben — das passt so für mich. Ich werde mich zeitnah telefonisch bei Ihrer Kanzlei melden...\")\n - The user preferred: \"Vielen Dank für Ihre Rückmeldung - das passt. Ich wende mich an ihre Kanzlei zwecks Terminvereinbarung!\"\n - This was more concise, less formal/salesy. The user wanted it shorter and more direct.\n\n4. This is a style preference correction but it's about German email communication style — the user prefers concise, direct language even in formal business correspondence.\n\n5. Let me think about whether this warrants a skill update...\n\nThe google-workspace skill was loaded. The correction was about my drafting style — the user made it shorter and more direct. This aligns with the general preference \"concise, direct messages\" that's already in memory.\n\nHowever, the specific lesson here is: when drafting German business emails for Zeyd, keep them short and direct. Don't embellish with extra commentary like \"transparente Preisangaben\" or \"zeitnah telefonisch\" unless the user asks for it.\n\nThis is subtle enough that I'm not sure it warrants a full skill patch. It's more of a general communication style thing that's already captured in memory (\"Clean, direct messages only\").\n\nThe google-workspace skill itself worked perfectly — the `gmail search`, `gmail get`, and `gmail reply` commands all worked as documented. No issues with the tooling.\n\nI think this falls under \"Nothing to save\" — the session was smooth, the skill worked as expected, and the minor style correction is already covered by the existing memory preference for concise/direct communication." } ] }