iiinova — where your digital self keeps evolving

cognee.bsky.social @cognee.bsky.social · 16/09/2025

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!

010

cognee.bsky.social @cognee.bsky.social · 11/08/2025

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

100

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 23/07/2025

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...

dub.sh

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!

051

cognee.bsky.social @cognee.bsky.social · 07/07/2025

🧠 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.

110

cognee.bsky.social @cognee.bsky.social · 04/07/2025

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.

100

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 23/06/2025

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

041

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 19/06/2025

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...

dub.sh

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.

062

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 10/06/2025

Woke up to 🚀 cognee hitting 5000 stars! Thank you for the trust, feedback and code you pour in. Let’s keep building 🛠️

021

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 05/06/2025

find us on @github.com trending!

032

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 03/06/2025

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 📚

142

cognee.bsky.social @cognee.bsky.social · 30/05/2025

Join the conversation at r/AIMemory. dub.sh/ai-memory

022

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 21/05/2025

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?” 🙂

132

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 19/05/2025

👉 Ready to deploy? ``` git clone <https://github.com/topoteretes/cognee.git> 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

121

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 19/05/2025

🚨 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. 👇

133

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 15/05/2025

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.ai

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!

022

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 14/05/2025

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.

154

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 12/05/2025

🧵 Insights from Data Council 2025, viewed through my lens:

151

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 28/04/2025

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

youtu.be

Compare Small Ollama Models in Generating Knowledge Graphs Using cognee

YouTube video by cognee

043

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 15/04/2025

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 👇🏼

153

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 14/04/2025

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.

121

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 11/04/2025

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.

243

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 04/04/2025

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.

122

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 01/04/2025

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.

132

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 31/03/2025

Short read, big insights 👇 We took knowledge graphs up a notch with formal ontologies. You’ll find how we merge domain expertise + graph structures for more detailed insights at @cognee.bsky.social in the below blog. Check it out.

122

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 26/03/2025

How do you run your own local AI stack? In 4 minutes, you can setup Ollama with @cognee.bsky.social to go local with Phi-4 and Mistral Going local mostly means: - Better privacy - Reduced costs - More control & experimentation But.. beware:

132

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 24/03/2025

🧵 7 Common Misconceptions About Knowledge Graphs (and what devs should actually know) If you’re working with data, LLMs, or building anything agentic —you’ll want to read this.

122

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 19/03/2025

Want your AI to catch sneaky data errors and go beyond basic vector search? We just released a blog on using knowledge graphs for smarter QA. Check it out! ps: a sneak peek from the blog

132

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 13/03/2025

What’s the deal with Knowledge Graphs? TL;DR: They don’t just store facts. They connect them. They power AI memory, enable deep reasoning, and help LLMs process data with context - but what are they, really?

142

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 12/03/2025

Everyone’s hyped about MCP now, but cognee was already there. It hooks your LLM into your data - text, code, you name it - so you can cut hallucinations and keep context. I use it with Anthropic’s Claude Desktop, plus dev tools like Cursor, Cline, Continue and the difference is huge.

132

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 13/02/2025

Let's turn your data into graph/vector representation! We will cognify it. Inspired by #graphrag and #rag, we have a better approach! Why? - Increase retrieval accuracy by 30% (measured on hotpotqa) - Get the data you need - Reduce the number of LLM calls - Extract the data from your own data

122

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 05/02/2025

Just dropped our second video on: - understanding graphs & knowledge graphs - using cognee as a unified layer between your data & AI - building knowledge graphs with it - deploying with Modal Check it out: youtu.be/86SWVdI5K0Y

youtu.be

AI Memory with cognee: Building Knowledge Graphs & Deploying with Modal

YouTube video by cognee

054

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 27/01/2025

🎥 Check out our new video tutorial on integrating cognee with Claude: www.youtube.com/watch?v=fI4h...

youtube.com

What is AI memory?

YouTube video by cognee

121

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 06/02/2025

RAG evals shouldn't be a guessing game. With DeepEval + cognee, you get clear, structured insights into how your retrievals are performing. No more blind spots.

153

Reposted by @cognee.bsky.social

vasilijee.bsky.social @vasilijee.bsky.social · 16/01/2025

🚀 Open Source Synergy Calling all OSS developers! I am happy to announce a seamless integration between cognee and Milvus: 🔗 Transform raw data into structured vectors and knowledge graphs. 📊 Deliver accurate, context-aware responses. ⚡ Scale effortlessly with fully open-source pipelines.

143