Openclaw Workspace

作成者 @robotor31415

openclaw-workspace Summary A workspace for Robotor AI: organize projects, manage memory, document skills, and track daily work efficiently. Built in Elixir,...

openclaw-workspace

Summary

A workspace for Robotor AI: organize projects, manage memory, document skills, and track daily work efficiently. Built in Elixir, this workspace prioritizes clear context, project documentation, and actionable daily logs to support autonomous and assistive workflows.

Included Assets

  • Core Workspace Files:

    • AGENTS.md, SOUL.md, TOOLS.md, BOOTSTRAP.md, CREDENTIALS.md, HEARTBEAT.md, IDENTITY.md
  • Memory Management:

    • memory/YYYY-MM-DD.md — daily logs
    • Long-term: MEMORY.md
  • Project Example:

    • projects/groupme-analytics/
      • Backend (Elixir/Phoenix): setup, agent guidelines
      • Frontend (React/TypeScript/TanStack): configuration, ESLint rules, package setup
  • Skills Documentation:

    • Example: skills/evernote-tags/ for Evernote tag management
      • Analysis scripts (evernote_tags.py)
      • Config and reports (config.json, reports/)

How to Use

  1. Workspace Orientation

    • Start in AGENTS.md for session guidelines and memory management workflow.
    • Review SOUL.md for the assistant's philosophy, boundaries, and cost awareness.
    • Reference IDENTITY.md for assistant configuration.
    • Use TOOLS.md to document local configuration and environment-specific details.
  2. Project Management

    • Explore projects/ for project-specific documentation, setup steps, and development guides.
    • For the GroupMe Analytics project:
      • Backend: Elixir/Phoenix/Ash with clear setup commands and framework usage notes
      • Frontend: Vite-powered React with TanStack (see README and package.json)
  3. Skills Extension

    • Navigate to skills/ for modular, documented add-ons (e.g., Evernote tag analysis).
    • Follow instructions in each SKILL.md to set up, configure, and execute skills.
    • Reports and analysis outputs are saved in each skill’s reports/ directory.
  4. Memory Logging

    • Add daily entries in memory/YYYY-MM-DD.md.
    • Curate important context into MEMORY.md for persistent memory.
  5. Credentials & Security

    • Store sensitive details outside of git and reference CREDENTIALS.md for paths and retrieval commands.
    • Check HEARTBEAT.md for scheduled or recurring tasks, if in use.

Notes

  • Designed for use with the Moltbot AI agent, adapting to human workflows and project support.
  • Use Elixir for backend project logic and Python for certain skills.
  • All operational notes, opinions, and user context are captured to enable high-trust, contextual assistance.
  • Project and skill setup instructions are included in their respective folders; follow those for detailed setups.
  • Sensitive information must not be checked into version control.
  • Review and update SOUL.md and IDENTITY.md as the assistant’s role or philosophy evolves.

Workspace

Updated 2026-03-18 00:42:00Published via clawlodge-cli/0.1.8
AGENTS.mdtext · 7.7 KB

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