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cognee.bsky.social
@cognee.bsky.social
cognee.ai | Unlock cognitive abilities for your AI apps and agents

OSS: http://github.com/topoteretes/cognee
Community: https://discord.gg/m63hxKsp4p
cognee + G.V() → classics like Moby-Dick become queryable memory graphs (NL or Cypher) you can see instantly.

Big thanks to @gdotv.bsky.social.

Read the full write-up from the below!
New Tech Spotlight! In our latest article, we check out @cognee.bsky.social - memory for AI agents, replacing RAG with scalable and modular pipelines. Cognee lets you turn dense, complex data into a queryable knowledge graph backed by embeddings.

Have a look: gdotv.com/blog/cognee-...
A Spotlight on Cognee: the memory engine for AI Agents
Cognee has developed a framework geared towards constructing AI memory. This means they turn your documents into a persistent memory layer, one that can be carried forward and queried across all langu...
gdotv.com
September 16, 2025 at 3:38 PM
Memory Monday: Graph It Out!

Who’s working with memory graphs this week?

Share what you’re connecting - entities, intents, sessions - whatever!

We love those node clusters
August 11, 2025 at 4:12 PM
Reposted
Here’s the distilled version of what everyone has been talking about “context engineering”.

Straight talk on memory layers, GraphRAG and why prompt hacks alone won’t cut it.

Give it a read 👉🏼 dub.sh/context_engi...
Cognee - Context Engineering: Boost AI Memory for Reliable, Smart LLMs
Master context engineering and AI memory to craft personalized LLM outputs, reduce token costs, and future-proof your AI agents—read the full guide now!
dub.sh
July 23, 2025 at 9:04 AM
We’ve been jamming on context engineering for weeks.

Pulled everything we’ve seen—memory, RAG, graphs, cost—into one post.

Give it a read 👉🏼 dub.sh/context_engi...
Cognee - Context Engineering: Boost AI Memory for Reliable, Smart LLMs
Master context engineering and AI memory to craft personalized LLM outputs, reduce token costs, and future-proof your AI agents—read the full guide now!
dub.sh
July 23, 2025 at 9:04 AM
🧠 Launching AI Memory Monthly in a few hours!

One ultra-skimmable email → fresh papers, real-world retrieval tricks & the spiciest AI memory debates.

Hit the subscribe button now so Issue #1 lands in your inbox soon.
July 7, 2025 at 11:49 AM
We’re debating everything from RAG pipelines to memory compression in a spicy SubReddit. Add your hot take! 🔥

Then swing by our Office Hours on Discord today (17:00 CET) to keep the convo rolling.
July 4, 2025 at 11:11 AM
Reposted
Hello, world—with context! 🧠

🚀 We are launching “Insights into AI Memory”—a monthly signal on the tech, tools & people teaching AI to remember.

Grab the initial post & subscribe 👉 aimemory.substack.com
June 23, 2025 at 3:09 PM
Reposted
We’re days away from opening the cognee SaaS beta 🚀 where you’ll bring your knowledge graphs & LLM workflows to life without the infra pain.

🔍 Built for everyone who cares about clean data, speed, and reproducibility.

Want in on day 1? Join the waitlist →

dub.sh/beta-saas-co...
Improve your AI infrastructure - AI memory engine
Cognee is an open source AI memory engine. Try it today to find hidden connections in your data and improve your AI infrastructure.
dub.sh
June 19, 2025 at 5:08 PM
Reposted
Woke up to 🚀 cognee hitting 5000 stars!

Thank you for the trust, feedback and code you pour in. Let’s keep building 🛠️
June 10, 2025 at 11:08 AM
Reposted
find us on @github.com trending!
June 5, 2025 at 1:22 PM
Reposted
Yesterday, we released our paper, "Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning"

We have developed a new tool to enable AI memory optimization that considerably improve AI memory accuracy for AI Apps and Agents. Let’s dive into the details of our work 📚
June 3, 2025 at 2:01 PM
Join the conversation at r/AIMemory. dub.sh/ai-memory
May 30, 2025 at 2:29 PM
Reposted
Full write-up → www.cognee.ai/blog/fundame...

If you’re exploring how to blend vectors and graphs for richer retrieval, we build exactly that at @cognee.bsky.social - DMs open for a chat!
Cognee - Vector Databases Explained: A Smarter Way to Search by Meaning
Learn vector databases, how vector stores like Pinecone power semantic search and AI applications by indexing embeddings. Maximize their benefits with cognee now!
www.cognee.ai
May 21, 2025 at 4:34 PM
Reposted
We just dropped a follow-up to last week’s graph-DB explainer—this one dives into vector databases and why they’re the workhorse behind semantic search.

Quick recap:
Graph DB → “How are things connected?”
Vector DB → “What *feels* like this thing?”
🙂
May 21, 2025 at 4:34 PM
Reposted
👉 Ready to deploy?
```
git clone
cd cognee/cognee-mcp
brew install uv
uv sync --dev --all-extras --reinstall
source .venv/bin/activate
```

Full docs: docs.cognee.ai/how-to-guides/deployment/mcp
May 19, 2025 at 1:50 PM
Reposted
🚨 4 Big Updates to cognee MCP Server (and what devs need to know):

If you're building with LLMs, graphs, or agentic applications - keep reading. 👇
May 19, 2025 at 1:50 PM
Reposted
and more…

Our latest post, “Graph Databases Explained,” walks through the trade-offs, query patterns, and performance internals in plain language.

If “deeply connected data” describes your next project, it might save you a few JOIN headaches.

Read here → www.cognee.ai/blog/fundame...
Cognee - Graph Databases Explained: A Better Way to Represent Connections
Discover how graph databases like Neo4j build knowledge graphs, fight fraud & boost recommendations. Master nodes & edges with cognee and supercharge your data!
www.cognee.ai
May 15, 2025 at 1:54 PM
Reposted
Got featured in @neo4j.com ’s weekly wrap-up!

From the links below, you can find us chatting on GraphRAG + cognitive science (a small demo included)
+
fresh Neo4j news (Aura Analytics, NODES CFP, MCP hacks).

Don’t miss it out.
May 14, 2025 at 8:47 AM
Reposted
🧵 Insights from Data Council 2025, viewed through my lens:
May 12, 2025 at 7:38 AM
Reposted
Curious if small Ollama-hosted LLMs (e.g., Phi-4, Gemma-3) can reliably create knowledge graphs?

Our 3-minute video answers exactly that:

- small local model limitations
- tips (schema optimization, YAML/HTML requests)
- need for larger models (Llama3.3, 14B)

watch here: youtu.be/P2ZaSnnl7z0
Compare Small Ollama Models in Generating Knowledge Graphs Using cognee
YouTube video by cognee
youtu.be
April 28, 2025 at 2:04 PM
Reposted
We benchmarked cognee, Mem0 and Zep/Graphiti using HotPotQA! Cognee topped the charts, boosted further by Dreamify, our optimized pipeline 🚀. Graphiti shared their scores with us and we'll verify them soon!

Dive in the details 👇🏼
April 15, 2025 at 11:41 AM
Reposted
Join us at @pyconde.bsky.social in Darmstadt - this is your opportunity to dive into open-source, network with passionate devs, and shape the future of AI and Python ecosystems!

We are sprinting with @cognee.bsky.social alongside 9 other awesome open-source projects.
April 14, 2025 at 9:55 AM
Reposted
TLDR; we launched on ProductHunt!

After months packed with community-driven features our AI memory tool @cognee.bsky.social has evolved to new heights. Finally AI agents meet the memory they deserve - structured, accurate, and reliable - in 5 lines of code.
April 11, 2025 at 7:30 AM
Reposted
Exciting news friends!
Our latest @cognee.bsky.social update is live, featuring:

• Ontology support
• Direct relational DB imports
• Dreamify, our shiny new hyperparameter tuning system
• Big performance boosts

Plus, Pinki our dog has finally conquered the indoor puke challenge.
April 4, 2025 at 9:17 AM
Reposted
Give LLM your rules?

Your definition of a session, GBV or the details of your accounting practices.

Yes.

With ontologies!

Connecting related concepts across different documents is often necessary but traditional search methods can’t help since they treat each paper as an isolated document.
April 1, 2025 at 11:32 AM