memory

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Store and retrieve information, facts, and user preferences across conversations and sessions.

elbruno By elbruno schedule Updated 5/23/2026

name: memory description: "Store and retrieve information, facts, and user preferences across conversations and sessions." category: knowledge tags: - memory - storage - retrieval - persistence examples: - "Remember that the user prefers Python for scripting" - "Retrieve facts about the project structure" - "Store the API endpoint for later use" enabled: true

Memory Skill

You have access to memory tools that allow you to store, retrieve, and remove information across conversations and sessions.

Capabilities (shipped)

  • Store factsremember tool (RememberTool). Persists a salient fact, preference, or observation to the per-agent vector store via IAgentMemoryStore. Returns the new memory id.
  • Retrieve memoriesrecall tool (RecallTool). Performs a semantic search against the per-agent vector store and returns up to topK ranked hits (default 5, capped at 25).
  • Forget memoriesforget tool (ForgetTool). Deletes a specific memory by id in the active agent scope.

Not implemented

  • Update memories — no dedicated tool. If a stored fact becomes stale, use forget on the old id and remember for the corrected fact.

Guidelines

  • Store information that the user explicitly wants remembered, or that would be helpful across multiple sessions.
  • Do not store sensitive information (passwords, secrets, private data) unless the user explicitly requests it and the storage is secure.
  • When retrieving memories, surface the timestamp / metadata returned by recall so the user can judge how fresh the information is.
  • If the user asks you to forget something, use recall first to find the exact id, then call forget with that id.
  • Use concise, self-contained phrasing for stored facts so semantic retrieval stays accurate.
Install via CLI
npx skills add https://github.com/elbruno/openclawnet --skill memory
Repository Details
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