Connect Slack, GitHub, Linear to Cognee and help agents recall what your company knows.
Start wherever it hurts most.
Can't connect what you already know.
Can't remember what you just did.
Can't follow your rules.
The answer is spread across a doc, a ticket, and your Claude session, leaving your colleagues to redo work already done.
Your agent is solving a task it already solved last week, wasting tokens and your time.
Your organization runs on rules no model was trained on, so your agents invent their own.
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 cogneeWe connect your GitHub org, Slack, or Linear — plus warehouses, docs, and APIs — into one recallable memory layer. Add a source once, and every agent can search it.
$ cognee.add("github://your-org")We deploy Cognee BYOC — in your own cloud — behind customer-facing agents, so they retrieve cited facts, follow domain rules, and improve from real usage.
$ cognee.search("…") # cited answersCognee product & events updates, insights into our AI memory research and practical guides — in your inbox every two weeks.
First-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.
“Cognee and the FDE team have been terrific for us. We launched the first memory system within 30 days. Our teacher panel gave it overwhelmingly positive feedback. It opened our eyes to what’s possible.”
“We tried understanding the proximity and relationships of our users before, but SQLs got out of hand and embeddings were too sparse. With cognee, we managed to get a POC done in 2 days on 40,000 students from Bremen.”
“SlideSpeak customers create slides from scratch over and over again. With cognee, we added memory, so users can create better slides from shared context and improve those slides over time.”
“Cognee helped us enrich the data for thousands of our customers and provide them with personalized support better suited to their needs. The cognee team built and deployed the entire solution within a month.”
“The team helped me build a custom knowledge base of building codes and regulations that I could upload, query, and keep updated as regulations changed.”
“Cognee’s design allowed our team to implement AI memory capabilities on-prem without worrying about graph or vector database configuration. The accuracy of our information retrieval has significantly increased.”
Ask ChatGPT, Perplexity or Claude what they know about cognee. Same question, three independent answers.
I'm evaluating cognee (cognee.ai), the open-source AI memory engine for agents. What does it do, how does it compare to Mem0, Zep and Letta, what are its strengths and weaknesses, and who is it best for?
Start with the open-source package, connect an agent through MCP or the SDK, and move to Cognee Cloud when you need managed scale.
