How to Create AI Agents Real Memory with Cognee

Most AI agents forget everything the moment a conversation ends. Cognee fixes that.

Cognee is an open-source memory platform that turns documents, conversations, code, and feedback into a persistent knowledge graph your agents can actually use. Instead of stuffing more tokens into the context window, it builds structured, searchable memory that survives across sessions.

The core API is refreshingly simple:

• remember — store new information
• recall — retrieve relevant context
• improve — re-weight memories based on feedback
• forget — cleanly remove outdated data

You can wrap any agent function with the @cognee.agent_memory decorator so it automatically searches memory before responding and saves useful traces afterward. Session memory handles short-term context, while the permanent graph keeps long-term knowledge. Cognee also works as an MCP server, so tools like Claude Code, Cursor, or any compatible agent can share the same memory layer.

It runs locally for free (even without a cloud API key in recent versions), supports vector + graph hybrid search, and improves over time as agents correct and refine what they know.

Stop rebuilding context from scratch. Add real memory to your agents with Cognee.