openclaw-workspace
Summary
A structured OpenClaw workspace designed for personal agent-based automation, memory management, and workflow organization. Includes agent specifications, persistent and daily memory, tool/environment notes, and specialized sub-projects for dinner recommendations and interview prep tracking.
Included Assets
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Workspace Modules
AGENTS.md— Workspace rules, agent session routines, memory guidanceMEMORY.md— Long-term, curated personal memory (in Chinese)SOUL.md— Agent identity, operating principles, safety railsTOOLS.md— Local environment/device notes & OpenClaw tool gotchas
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Memory System
memory/YYYY-MM-DD.md— Daily logs, events, reminders (dated)
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Agents
agents/alpha/AGENT.md— Investment research agent specificationagents/investment-alphaforge/AGENT.md— Legacy alias for alpha agent
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Skills
skills/humanizer/README.md— Skill for naturalizing AI textskills/proactive-agent/assets/— Proactive agent module with assets for session rules, memory, soul, and tool configuration
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Apps/Subprojects
byte-doubao-prep-tracker/— Byte Doubao interview preparation tracker (with README and training guides)dinner-what-to-eat/— Family dinner recommendation webapp (with README and package.json)nodejs-hello-login/— Simple password-protected hello world web server (Node/Express, with package.json)
How to Use
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Workspace Bootstrapping
- Read
AGENTS.mdfor session routines and workspace navigation. - Review
SOUL.mdto understand agent identity and safety measures. - Reference
MEMORY.mdand dailymemory/YYYY-MM-DD.mdfiles for personal context, ongoing projects, and user preferences. - Use
TOOLS.mdto document and reference local hardware, preference, or environment-specific information.
- Read
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Agents
- Explore
agents/alpha/AGENT.mdfor investment research agent workflow. - Maintain or update agent memory and behavior descriptions as needed.
- Explore
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Apps and Skills
- See
dinner-what-to-eat/README.mdfor set up and usage of the dinner recommendation app. - See
byte-doubao-prep-tracker/README.mdfor structured interview training workflow. - Install and use skills (e.g., Humanizer, Proactive Agent) per their documentation.
- See
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Personal Memory and Routines
- Add new daily logs in
memory/YYYY-MM-DD.md, review recent logs for continuity. - Curate key information into
MEMORY.md(avoiding sensitive or unapproved data for security). - Follow routines defined in
AGENTS.mdfor each session.
- Add new daily logs in
Notes
- All core agent routines, safety practices, and operating boundaries are explicitly described in
SOUL.mdandAGENTS.md. - Daily to long-term memory distinction is crucial: logs go into dated memory files; only key, non-sensitive info is summarized in
MEMORY.md. - Tool and device information should be added in
TOOLS.mdto avoid environment-specific leaks in modules/skills. - Subprojects (
dinner-what-to-eat,byte-doubao-prep-tracker, etc.) each contain their own instructions and should be set up individually if needed. - Security, privacy, and explicit user confirmation are mandatory for all sensitive operations.
- This workspace is designed for hands-on, iterative use with a focus on real personal productivity, not for general public deployment.
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