Give your coding agent durable memory
Install Cognee and connect it to Claude Code, Cursor, or any MCP client. Your agent keeps project context across sessions. No new infrastructure.
$ pip install cogneeCapture context, turn it into graph memory, and let every agent recall it across sessions. Start local with open source, then scale on Cognee Cloud.



However people use cognee: journaling, deal intelligence, research, giving an agent long-term memory. The thing that breaks is identical.
Your notes, decisions, and life: searchable.
Deals, ICPs, and accounts your team can query.
Technical and industrial knowledge bases.
Agents that recall past work, decisions, and fixes instead of relearning them every run.
Install Cognee and connect it to Claude Code, Cursor, or any MCP client. Your agent keeps project context across sessions. No new infrastructure.
$ pip install cogneeAdapters turn warehouses, docs, chats, and APIs into one recallable memory layer. Add a source, cognify it, and every agent can search it.
$ cognee.add("s3://your-data")Put Cognee behind customer-facing agents so they retrieve cited facts, follow domain rules, and improve from real usage.
$ cognee.search("…") # cited answersFirst-party integrations for Claude Code, Cursor, LangGraph, OpenClaw, and more, plus an MCP server so compatible agents can read and write Cognee memory without custom glue.
The perfect starting place for your first agent with memory. Free forever.
Everything you need to ship multi-tenant memory to production.
All Hobby features, plus:
Dedicated support, your own cloud, and SLAs for memory at scale.
All Growth features, plus:
Start with the open-source package, connect an agent through MCP or the SDK, and move to Cognee Cloud when you need managed scale.