OpenClaw skill
cognitive-memory
An OpenClaw skill that enables agents to store, retrieve, update, and manage structured memories across sessions. Memories include conversation history, facts, preferences, and context with metadata like timestamps and categories. Agents use it to maintain long-term recall and personalized interactions.
Security notice: review the SKILL.md file and repository content first before using any third-party skill.
Files
Review the files below to add this skill to your agents.
SKILL.md content
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How this skill works
- Loads the current memory from ~/.openclaw/memory.md
- Processes the trigger with the full context including recent conversation history
- Uses the LLM to generate an updated summary or retrieve relevant information based on the trigger
- Saves the updated memory back to ~/.openclaw/memory.md
- Returns the summarized memory or retrieved information to the user
When to use it
- When storing key experiences or facts for later retrieval in agent workflows
- When retrieving specific memories to inform decision-making in ongoing tasks
- When updating existing memories with new information from interactions
- When searching memory stores for relevant past data during planning
Best practices
- Verify API keys before enabling the skill
- Set max_memories to prevent excessive costs
- Use a dedicated index for production
- Test similarity_threshold with sample data before deployment
- Monitor API billing for high usage
- Do not share API keys
- Periodically backup the vector index
Example use cases
- Storing user personal information: Uses the 'store' action to save details like user_name='Alice' with tags such as ['personal'].
- Retrieving specific memories: Uses the 'retrieve' action to fetch memory value by key, e.g., user_name.
- Searching memories by query or tags: Uses the 'search' action with a query like 'personal' to find relevant tagged memories.
FAQs
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