mem0

Temporal knowledge-graph memory for AI agents.

Memory layer that gives agents long-term context by building a temporal knowledge graph from chat history and business data, tracking how facts evolve over time. It's powered by Graphiti, Zep's Apache-2.0 open-source temporal graph engine, with Zep Cloud offering a managed, credit-based service on top. Used to keep agent context relevant as conversations and data grow.

Stateful agents with structured memory. Successor to MemGPT.

Open-source framework for building stateful agents — memory blocks, context-window management, tool-use primitives baked in. Useful as a reference architecture for long-running agents.

User profile-based long-term memory for LLM applications.

Memobase gives AI apps persistent, per-user memory by distilling conversations into a structured user profile and a chronological event timeline, rather than storing raw transcript embeddings. It exposes Python, Node, and Go SDKs plus a REST API and an MCP server, and is open source (Apache-2.0) with a managed cloud option. Built on FastAPI, Postgres, and Redis for low-latency retrieval.

Memory API that gives any AI agent long-term recall.

Supermemory is a memory and context engine for AI apps. It ingests documents, chat histories, and connector data (Drive, Gmail, Notion), turns them into a searchable store, and serves relevant context back to agents over a single API. It works with any model and ships an MCP server alongside official SDKs.