mem0

Persistent memory for user conversations is maintained by storing resolved exchanges at the end of a turn using add_memory, then retrieving prior facts with search_memories. This requires scoping data with a specific user_id, agent_id, and run_id.

The best way to scope long-term agent memory is by assigning unique identifiers—user_id, agent_id, and run_id—to every memory operation. This ensures that persistent context and preferences are isolated to the correct user and agent dialogue.

Deduplicated context storage works by indexing relevant facts from user exchanges and filtering out redundant data before persistence. When search_memories is called, it retrieves only the unique, scoped context necessary for the current dialogue.

Yes, you can query prior preferences without duplication. The search_memories operation fetches relevant facts from the persistent store, automatically applying deduplication so the agent receives only unique context scoped to the user_id.

Yes, a specific user_id is required to add and retrieve agent memory. Scoping with user_id, alongside optional agent_id and run_id, ensures that persistent context is securely isolated and correctly attributed during multi-turn dialogues.

You need to search memories at the start of a new turn to surface prior decisions and preferences. After resolving the exchange, you use add_memory at the turn's end to persist the new context for future recall.