MerchantryTidbits

agent-memory / library

mem0

Capability: mem0

Use it when

  • remember conversations across agent sessions
  • persistent agent memory layer
  • postgres-friendly user memory for agents
  • cross session recall for preferences
  • durable preference memory when agents reset each run
  • store conversation memory beside an existing SQL database

What it solves

Not the fit when

  • replaces full RAG corpus alone

Install

pip install mem0ai

Invoke

from mem0 import Memory
m = Memory()
m.add('user prefers dark mode', user_id='u1')  # persistent agent memory

Alternatives

letta, graphiti