cognee 1.0: Self-improving memory for agents

[00:00:00]We are excited to announce a breakthrough in memory for agents.

[00:00:03]Introducing Cogni, the world's most accurate open-source memory platform.

[00:00:07]Cogni can handle 100 billion token context windows, far beyond the limits of models like Claude Opus 4.8 and GPT 5.5. At this window, Cogni hits more than 79% [music] accuracy while costing seven times less than top models, an unprecedented feat for LLM memory. Let me show you how powerful Cogni is. Let's say you are a developer and want to secure a $1 million deal. Here we have [music] a regular session of Claude code in our terminal, and here is a session of Claude code using Cogni. We'll ask both the same prompt, "Build an app for this prospect, make me a millionaire, and make [music] no mistakes." First, our standard Claude session finds a transcript from three weeks ago when the prospect discusses Windows architecture.

[00:00:48]But there is an issue. Last week, the prospect told you they switched from Windows to macOS. Claude was overloaded with context as it retrieved five different meeting transcripts with this prospect. So it didn't connect the dots, and it simply slipped through the cracks. Next, Claude delivered a Windows file incompatible with prospect's macOS system, [music] immediately killing the deal. Now we'll take a look at Cogni's session, connected to our company's data through Agents, Notion, and Slack. Just like human brains do, Cogni not only retrieves the context, but it understands the relationships between the data, so it always knows what's most relevant right now and why. It knows this $1 million prospect has [music] now changed to macOS. It knows their most up-to-date vision for the app even after three different shifts to their perspective, [music] and even recognizes the prospect is similar to a client you closed six months ago having the same stack and buying triggers. So it pulls the client's winning app playbook and builds directly into this one. Now, Cogni runs into an issue. It finds a few different pieces of conflicting information about what flows should be used for the app.

[00:01:51]Claude without Cogni would get stuck in a loop for 20 minutes, burn millions of tokens, and still hallucinate. But Cogni doesn't guess, and it also doesn't ask you for input. Cogni retraces the chain of decisions, identifies which meetings came later, verifies who made the final call, corrects its own memory, and moves forward with the correct version on its own.

[00:02:12]Claude and ChatGPT use basic vector memory, a flat pile of facts with no relationships between them, treated the same way for every conversation.

[00:02:22]But, Cogni uses frontier dynamic [music] graph memory, which connects relationships between everything it knows, updates the context every day, and always knows what matters right now.

[00:02:32]Cogni is built by neuroscience researchers from universities of Brown and Berkeley. [music] Over a hundred of the world's fastest-growing companies, like Bayer, use Cogni already. To celebrate our launch, we're giving away the exact playbook we used to boost Cogni's cloud code output by 400% through accurate, persistent, and contextually relevant memory. The right operator could use the framework to make an extra seven or eight figures a year. Leave a comment, and we'll send [music] it to you.