Agent Memory Architect
$2.99OfficialDesign persistent memory systems for AI agents: episodic, semantic, and procedural memory with retrieval strategies.
What you get
- ✓9-step procedure
- ✓5 pitfalls to avoid
- ✓Installs into 6 tools
- Version
- v1 →
- Last updated
- today
- Length
- 5 min read
- Requires
- Needs a top-tier model
Works in: Claude Code, Codex, Cline, opencode, OpenClaw, Hermes · Built for large codebases
Preview
When to use
Use this skill when the user needs an agent to remember things across sessions or across a long-running task: "give my agent long-term memory," "the agent keeps forgetting my preferences," "store what it learned and recall it later." Trigger phrases: agent memory, persistent memory, memory store, episodic memory, recall, forgetting, context across sessions.
Do NOT use it for caching prompt context within a single turn (that's context engineering), or for a database the agent queries as a tool (that's RAG). Memory is what the agent has experienced and learned; RAG is an external knowledge base. If the user wants the agent to query a company wiki, that's RAG, not memory.
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