Design Patterns for AI Agent Memory APIs

Design Patterns for AI Agent Memory APIs
The rapmem TeamJune 12, 20266 min read

How to scope, store, search, and maintain long-term memories for AI agents without leaking context across users, agents, or runs.

Scope memory deliberately

Use user_id for end-user facts, agent_id for assistant-specific knowledge, and run_id for session-bounded context. Clear scopes make retrieval easier to reason about.

Separate writes from reads

Treat memory writes as deliberate events. Reads can happen frequently inside the agent loop, but writes should carry enough metadata to support auditing and cleanup later.

Monitor request logs

Track add, search, and failure rates per project and API key. Usage visibility is what keeps memory behavior debuggable in production.

Cheers

The rapmem Team