About Cognee
Cognee is an open source memory platform for AI agents and teams. It stores what an agent learns across sessions, using graph, vector and relational retrieval.
What it does
Cognee connects data sources such as Slack, GitHub and Linear into one knowledge layer. Agents can recall past work, team rules and entities when they start a new task. The platform can also generate ontologies that describe a domain, so agents follow the same rules across a company.
Key features
- Memory that persists across sessions
- Graph, vector and relational retrieval
- Connectors for Slack, GitHub and Linear
- Generated ontologies for domain rules
- Self-host in Docker or on-premises
Who it's for
Teams whose coding or support agents keep repeating work they have already done, and enterprises that want agents to follow internal rules. Developers who build agents and want memory without building their own storage layer will also find it useful.
Pricing and good to know
The code is licensed under Apache 2.0 and can be self-hosted in Docker or on your own servers. A hosted service called Cognee Cloud is also offered. The site describes a benchmark of agent accuracy, so review those results for your own use case before you adopt it.
Highlights
- Keep agent memory across sessions
- Search with graph, vector and relational data
- Connect Slack, GitHub and Linear data
- Generate domain rules as ontologies
- Run self-hosted in Docker
