▸ Drop-in personalized long-term memory.
Memory layer for AI agents and apps.
Add long-term memory and knowledge to an agent
Quick answer: Best overall to add long-term memory and knowledge to an agent: Mem0. Drop-in personalized long-term memory. Runner-up: Letta (Agents with self-editing memory). Also strong: Pinecone. We list 5 tools below, ranked by quality and fit.
Persist user memory, RAG and vector search for agents.
Top picks, ranked
▸ Agents with self-editing memory.
Platform for stateful agents that remember and learn (from MemGPT).
▸ Production vector search at scale.
Managed vector database and AI knowledge platform.
▸ pgvector next to your app data; no extra service.
Postgres platform with auth, APIs, storage, functions and vectors.
▸ Best-known for RAG over documents.
Agent framework plus LlamaParse document parsing and workflows.
Related use cases
Build an AI agent in codeAdd a backend and deploy your vibe-coded appBuild agent workflows without codingLaunch a phone/voice AI agentLet an agent use a web browserGive your agent live web search and data
More in AI Agents.