The Cognee Blog

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Cognee product & events updates, insights into our AI memory research and practical guides — in your inbox every two weeks.

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Cognee NewsApr 1, 2026

Claude Code's Leak Reveals Anthropic's Obsession with Cognee

Anthropic accidentally exposed 500,000 lines of internal source code. Buried inside: engineers studying Cognee's memory architecture and wondering if they should just adopt it.

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Deep DivesMar 26, 2026

Expanding Custom Graph Models for Reliable Agent Memory & Retrieval

Learn how Custom Graph Models in cognee create a stable, domain-aware memory layer for agents — and how the Cascade feature progressively discovers missing schema from real data.

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Deep DivesMar 24, 2026

Memory as a Harness: Turning Execution Into Learning

Memory as a Harness: Turning Execution Into Learning

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Deep DivesMar 17, 2026

Grounding AI Memory: How Cognee Uses Ontologies to Build Structured Knowledge

Learn how ontology-based validation grounds AI memory in structured knowledge graphs. Reduce entity duplication and boost retrieval quality. Try Cognee now.

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Deep DivesMar 13, 2026

Building Self-Improving Skills for Agents

Learn how to build self-improving skills for AI agents with Cognee. Transform static SKILL.md files into evolving components that learn from failure. Try it now.

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IntegrationsMar 10, 2026

ScrapeGraphAI + Cognee: Turn Live Web Data Into a Knowledge Graph

Scrape live web data and build a knowledge graph for AI agents with ScrapeGraphAI + Cognee. Build a memory system that understands your data. Follow the step-by-step guide now.

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TutorialsMar 10, 2026

Structure Your Skills with Cognee

Turn AI agent skills into a knowledge graph with Cognee. Route tasks by meaning, learn from feedback, and improve over time. Start building smarter agents now.

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IntegrationsMar 6, 2026

OpenClaw Agents: 3 Viral Use Case Ideas Powered by Cognee

Discover 3 OpenClaw use case ideas and how Cognee brings deeper memory, connected context, and smarter recall. Explore the next step for AI agents—read now.

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FundamentalsFeb 24, 2026

How Cognee Builds AI Memory

Cognee is a memory engine for AI agents that builds a knowledge graph from data and makes it searchable. It's a simple, yet powerful way to build AI agents that can remember and use information over time.

Latest News

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

Latest Fundamentals

Anthropic API Cost in 2026: Claude Pricing and Calculator
Grok Pricing in 2026: API Costs and Calculator
Top AI Podcasts for Engineers: 10 Shows Worth Your Time in 2026

Latest Case studies

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

Latest Deep dives

Local AI Memory: Keeping Agent Memory Off the Cloud
AI Memory Tools vs. Databases: 5 Memory Layers Compared (2026)
How to Evaluate AI Memory in 2026: 5 Tools Compared

Latest Tutorials

Why AI Agents Forget and How to Fix Their Memory
Give Claude Code Persistent Memory With cognee
Structure Your Skills with Cognee

Latest Integrations

Keenable × cognee: Giving Web Retrieval Persistent Memory
Cut Cognee's Vector Memory by 8x with Qdrant's TurboQuant
ScrapeGraphAI + Cognee: Turn Live Web Data Into a Knowledge Graph
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Cognee is the fastest way to start building reliable Al agent memory.

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