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Cognee Raises $7.5M Seed to Build Memory for AI Agents
Cognee raises $7.5M seed led by Pebblebed to build the open-source memory layer for AI agents—backed by founders of OpenAI and Facebook AI Research.
What OpenClaw is and how we give it memory with cognee
Learn how OpenClaw's Markdown memory works, where it falls short, and how a Cognee plugin adds knowledge-graph recall, indexing, and smarter retrieval.
Context Graphs: Why Agent Memory Needs World Models and Behavioral Validation
Decision traces aren't enough for agent memory. Learn how world models and behavioral validation create AI that predicts outcomes. Build smarter agents.
AI Agent Memory: The Layer Behind Long-Term Recall
An AI agent without memory starts every task from zero. Here's how working, short-term, and long-term memory fit together, and how a real memory layer writes, manages, and reads it in production.
Long-Term Knowledge for AI Agents: Why Memory Alone Isn't Enough
Memory stores what was said. Knowledge captures what it means. The difference is structure — typed entities, relationships, versioned facts — and it's the gap most agents still fall into. Three lines of code show what fixes it.
AI Agent Memory Benchmarks: Cognee vs. Mem0, Graphiti, and LightRAG
Two benchmark exercises across HotPotQA, TwoWikiMultiHop, and MuSiQue, plus a head-to-head against Mem0, Graphiti, and LightRAG. Full numbers, methodology, honest caveats, and reproduction code — read the evidence behind the marketing.
What Goes Into an AI Agent Knowledge Base, and What Doesn't
Dumping docs into a vector store isn't enough. An AI agent knowledge base needs three layers — reference, operational, feedback — plus an ingestion pipeline that keeps them current. What actually goes in, with code.
Claude Agent SDK × cognee: Persistent Memory via MCP (Without Prompt Bloat)
Add persistent memory to Claude Agent SDK using Model Context Protocol (MCP) + cognee tools—store once, retrieve anytime without prompt bloat. Try it now!
n8n × cognee: Add AI Memory to Any Workflow Automation
Add persistent AI memory to n8n automation with the cognee node—cognify data into a graph and search context instantly. Install now and build smarter flows!
Cognee Raises $7.5M Seed to Build Memory for AI Agents
Cognee raises $7.5M seed led by Pebblebed to build the open-source memory layer for AI agents—backed by founders of OpenAI and Facebook AI Research.
What OpenClaw is and how we give it memory with cognee
Learn how OpenClaw's Markdown memory works, where it falls short, and how a Cognee plugin adds knowledge-graph recall, indexing, and smarter retrieval.
Context Graphs: Why Agent Memory Needs World Models and Behavioral Validation
Decision traces aren't enough for agent memory. Learn how world models and behavioral validation create AI that predicts outcomes. Build smarter agents.
AI Agent Memory: The Layer Behind Long-Term Recall
An AI agent without memory starts every task from zero. Here's how working, short-term, and long-term memory fit together, and how a real memory layer writes, manages, and reads it in production.
Long-Term Knowledge for AI Agents: Why Memory Alone Isn't Enough
Memory stores what was said. Knowledge captures what it means. The difference is structure — typed entities, relationships, versioned facts — and it's the gap most agents still fall into. Three lines of code show what fixes it.
AI Agent Memory Benchmarks: Cognee vs. Mem0, Graphiti, and LightRAG
Two benchmark exercises across HotPotQA, TwoWikiMultiHop, and MuSiQue, plus a head-to-head against Mem0, Graphiti, and LightRAG. Full numbers, methodology, honest caveats, and reproduction code — read the evidence behind the marketing.
What Goes Into an AI Agent Knowledge Base, and What Doesn't
Dumping docs into a vector store isn't enough. An AI agent knowledge base needs three layers — reference, operational, feedback — plus an ingestion pipeline that keeps them current. What actually goes in, with code.
Claude Agent SDK × cognee: Persistent Memory via MCP (Without Prompt Bloat)
Add persistent memory to Claude Agent SDK using Model Context Protocol (MCP) + cognee tools—store once, retrieve anytime without prompt bloat. Try it now!
n8n × cognee: Add AI Memory to Any Workflow Automation
Add persistent AI memory to n8n automation with the cognee node—cognify data into a graph and search context instantly. Install now and build smarter flows!
cognee 1.0: The Open-Source Memory Platform for AI Agents
Claude Code's Leak Reveals Anthropic's Obsession with Cognee
Cognee Raises $7.5M Seed to Build Memory for AI Agents
What Is RAG? Retrieval-Augmented Generation Explained
What Is GraphRAG? Retrieval-Augmented Generation with Knowledge Graphs Explained
What Is an AI Knowledge Graph? Entities, Relationships, and Use Cases Explained
Elevating AI-Driven Credit Card Insights: A Tier-1 US Bank's Semantic AI Memory Discovery
Turning PDFs into Evidence-Based Answers: How We Built a Trustworthy Evidence Graph for UWYO
Smart Networks, Smarter Students: How cognee Connected 40,000 German Learners
What Is Agentic RAG? How It Works and When to Use It
cognee on BEAM: SOTA Results Without a Benchmark-Specific Memory System
Just Postgres: Drop the Graph Database. Keep the Graph.
Why AI Agents Forget and How to Fix Their Memory
Give Claude Code Persistent Memory With cognee
Structure Your Skills with Cognee
Cut Cognee's Vector Memory by 8x with Qdrant's TurboQuant
ScrapeGraphAI + Cognee: Turn Live Web Data Into a Knowledge Graph
