Introducing Cognee v1.0: a major breakthrough in agentic intelligence. It is 145% better than Opus 4.8 and GPT 5.5 at long context memory retrieval. Cognee allows a 100 BILLION token context window 100,000x more than Claude. It's: - 6.9x cheaper than GPT 5.5 and Opus 4.8 - Cold starts... in 350ms & searches in 260ms Why this matters: Today agents forget important context, redo tasks, waste tokens, and slow down as workflows get more complex. Cognee solves this. It’s not a place to build agents. It connects to the agents you’ve already built, across any platform, and makes them significantly cheaper, faster, and more accurate. Here's how it works:show more

Book a demo or try today 👇

Today, agents have poor memory recall, burning up to 90% of your tokens: - Agents get stuck in loops trying to retrieve context - Agents get forced into gargling more context than they can handle - Agents guess when limited context misses details, producing an inaccurate output

Cognee connects your context to the right places, so your agent knows what matters right now, and why. When data is requested, Cognee activates its memory graph and updates how that information is connected, used, and understood over time.

Better recall creates higher quality context, as Cognee dynamically activates and updates relevant memory to produce more accurate outputs with fewer errors. Cognee significantly outperforms base models and performs better than competitors’ memory frameworks.

To celebrate our launch, we're giving away the secrets to boost Claude’s output by 400%. Reply to the first post and we'll send it to you.

Yes or no: when I say “explain this in NBA terms” will it explain it in NBA terms or will I once again need to explain what i mean? YES OR NO

YES. The repeating yourself meta is officially dead. Cognee saves your preferences to a memory graph so it actually remembers how you like things broken down across sessions. Agent amnesia is cooked. What's the first NBA breakdown you're making it run?

and we were all just... restarting every session like that was normal. how easy is it to install Cognee?

It's a 5-minute setup. Cognee acts as a plug-and-play memory layer for your existing AI setup. You just connect it to your current agents with a few lines of code, and they instantly stop forgetting context.

@Scobleizer Great stuff! Memory/context is such a massive pain point people are suddenly waking up to en masse. Sounds almost too simple haha, but I’ve been seeing you grinding on this on LinkedIn for a while.

@Scobleizer Gotta grind!

can agents share memory with this or do both get their own “brain”?

Both. You can isolate their memory graphs for individual brains, or connect multiple agents to one shared graph for a hive mind setup. What kind of multi-agent architecture are you building?

honestly still getting into it, but thanks!

so the machine remembers everything now. cool. who has access to what it remembers??

You do! Because Cognee is fully open-source and self-hosted, your data stays wherever you deploy it, locally on your machine or inside your own private cloud.

I’m pulling up 👀

we built machines that can pass the bar but can’t remember context from 10 minutes ago lol you cooked fr

Real, the irony is wild. Smart enough to pass the bar but can't remember the last prompt. What kind of use case or workflow are you building that needs this long-term memory?

6.9x cheaper than GPT 5.5 and Opus 4.8. How?

Context stuffing is cooked. Instead of dumping 100k tokens into the LLM every turn and burning cash, Cognee’s memory graph surgically retrieves only what’s needed for that exact prompt. Major token diet. What kind of daily token burn are you dealing with right now?

so you're saying it has 145% more chances to remember how i was screaming at it "faster! shorter! punchier!"?

Exactly. It hardcodes your formatting rules into the graph so you never have to scream at it again. What are you building?

Reminds me of the LLM-as-compiler pattern Low latency and plug-and-play are smart Curious how graph evolution/consolidation holds up long-term (conflicts, forgetting, schema drift) and how inspectable it stays Excited to see memory treated as a real first-class layer

Lmao every agent has been playing 50 first dates this whole time

"Hi, nice to meet you for the 40th time today." 💀 Cognee completely puts an end to the madness. What's the first workflow you're locking in?

Nice. Agent memory is still the weakest link, clever agents slowly degrade into loops and token waste. Graph + vector hybrid makes sense: compile raw observations into traversable entities/relations once, instead of stuffing everything into prompts.

memory for agents startups finding out about cognee like

Pack it up boys, Cognee just dropped

we're funding AI companies at a trillion dollars and the breakthrough this week is "it can remember stuff." we are so early

Developers taking the day off

1. When adding @NousResearch Hermes support? 2. How does it compare to @garrytan gBrain and @supermemory ?

@NousResearch @garrytan @supermemory Added, but @NousResearch doesn't integrate anymore memory providers closely, so we built our own plugin

@NousResearch @garrytan @supermemory @Teknium is it true y’all aren’t supporting new memory providers?

Build me a better agentic memory system, make no mistakes (Nailed it -- congrats on the launch!! 🎉)

Queen of Vegan Ramen strikes again!

these are extremely suspicious numbers...

Healthy skepticism is always welcome 😄

well skepticism is warranted, especially when you’re comparing a memory framework to a large language model. They’re two different things, and posting numbers that say “our memory framework is a gajillion times better than this LLM” is completely misleading

Does this mean Claude won’t waste 10 minutes compacting context every 10 prompts? I must be dreaming…

should I pinch you or just try it out for yourself?

wait..let me try it

hey yh, here's a quick question: what’s the quickest way to try Cognee with a simple agent?

The fastest route is hooking it directly into a dev environment like Cursor or Claude Code via their native MCP server. You just spin it up in your terminal, and your existing tools instantly read/write to the graph.

Curious hw this compares to mem0, Can multiple agents share same memory graph ??

Cognee is document-first Graph-RAG; it pipelines massive data into strict graphs. Multiple agents can share one graph using global datasets, keeping individual loops isolated via session_id.

Why does this actually work/ genuinely unsettling. I’m scared.

Because it builds a real graph that maps concepts like a brain instead of guessing keywords. Flawless recall is a trip. What workflow are you testing first?

every script i write, i spend the first ten minutes reminding the AI how i write. every single time. been doing this for two years now. Weird that cognee is only coming out now.

Because the industry spent years selling bigger context windows as a cheap fix for "memory." Cognee changes the game by locking your coding style into a permanent graph node so you never have to repeat your guidelines. What language do you usually write your scripts in?

@barkmeta 👀

@barkmeta 👀

looks exciting. Congrats on the launch!

Thanks! Appreciate you being here

A memory layer that connects to agents you've already built is a smart approach

100%. Decoupling memory from the core orchestration layer means you get to keep your current stack while completely fixing the agent amnesia problem.

cognee just turned AI agents from goldfish into elephants with 100B token memory at 1/7th the cost i’m definitely gonna book a demo today

can two agents share one memory graph, or is it isolated per agent? cross-agent recall is exactly where most "memory" tools quietly stop

Most tools fold here, but Cognee supports shared graphs natively. It uses global namespace routing so a whole swarm of agents can read/write to the same underlying ontology, while using unique session IDs to keep runtime context from leaking. Multi-agent synergy is real.

need this lol just asked my AI about something from 40 minutes ago and it was like

Stopping that exact amnesia loop is why we built Cognee. No more session resets or wasted tokens. What's the main agent architecture you're running right now?

100 billion? that’s crazy good Gonna keep an eye out on this one for sure

Absolute game changer. Bypassing that context wall changes the entire landscape for long-term agent tasks.

i’m ready to put it to use and blow some minds here 🤯

let's goooo

this will likely have a huge impact in the AI landscape

how did it take this long to make memory a core layer of the AI stack lol

Cognee v.10 will be huge

100%. The jump from basic persistent memory to full autonomous cognitive networks will be wild. Ready to scale your setup?

If Cognee has all these features including being cheap. How come people are just getting to know about this wonderful tool ? I think everyone should be scared right now, imo with the ban of Fable 5 lately. But this , I see upskilling.

The recent Fable 5 ban is exactly why relying entirely on closed APIs is terrifying. When a frontier model can vanish overnight by government decree, open-source tools like Cognee are how you build resilient, sovereign tech. It’s the ultimate upskilling play.