The Cognee Blog
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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.
Deep DivesMar 24, 2026
Memory as a Harness: Turning Execution Into Learning
Memory as a Harness: Turning Execution Into Learning
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.
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.
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.
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.
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.
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.
Cognee NewsFeb 19, 2026
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.
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.
Deep DivesMar 24, 2026
Memory as a Harness: Turning Execution Into Learning
Memory as a Harness: Turning Execution Into Learning
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.
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.
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.
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.
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.
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.
Cognee NewsFeb 19, 2026
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.
Cognee NewsJun 26, 2026
cognee 1.0: The Open-Source Memory Platform for AI Agents

Cognee NewsApr 1, 2026
Claude Code's Leak Reveals Anthropic's Obsession with Cognee

Cognee NewsFeb 19, 2026
Cognee Raises $7.5M Seed to Build Memory for AI Agents

Cognee NewsJun 26, 2026
cognee 1.0: The Open-Source Memory Platform for AI Agents

Cognee NewsApr 1, 2026
Claude Code's Leak Reveals Anthropic's Obsession with Cognee

Cognee NewsFeb 19, 2026
Cognee Raises $7.5M Seed to Build Memory for AI Agents

FundamentalsJun 18, 2026
AI Knowledge Base: Building a Retrieval-Ready Knowledge Layer

FundamentalsJun 12, 2026
What Is a Knowledge Base? (and Why Most of Them Stop Working)

FundamentalsJun 11, 2026
LLM vs Generative AI: Comparing Models, Memory, and Architecture

FundamentalsJun 18, 2026
AI Knowledge Base: Building a Retrieval-Ready Knowledge Layer

FundamentalsJun 12, 2026
What Is a Knowledge Base? (and Why Most of Them Stop Working)

FundamentalsJun 11, 2026
LLM vs Generative AI: Comparing Models, Memory, and Architecture

Case StudiesSep 23, 2025
Elevating AI-Driven Credit Card Insights: A Tier-1 US Bank's Semantic AI Memory Discovery

Case StudiesSep 16, 2025
Turning PDFs into Evidence-Based Answers: How We Built a Trustworthy Evidence Graph for UWYO

Case StudiesSep 11, 2025
Smart Networks, Smarter Students: How cognee Connected 40,000 German Learners

Case StudiesSep 23, 2025
Elevating AI-Driven Credit Card Insights: A Tier-1 US Bank's Semantic AI Memory Discovery

Case StudiesSep 16, 2025
Turning PDFs into Evidence-Based Answers: How We Built a Trustworthy Evidence Graph for UWYO

Case StudiesSep 11, 2025
Smart Networks, Smarter Students: How cognee Connected 40,000 German Learners

Deep DivesJun 26, 2026
Technical Note: Understanding the Token Cost of Persistent AI Memory

Deep DivesJun 26, 2026
Behind the Viral Numbers: How We Got 7x Cheaper and 145% Better

Deep DivesJun 26, 2026
cognee on BEAM: SOTA Results Without a Benchmark-Specific Memory System

Deep DivesJun 26, 2026
Technical Note: Understanding the Token Cost of Persistent AI Memory

Deep DivesJun 26, 2026
Behind the Viral Numbers: How We Got 7x Cheaper and 145% Better

Deep DivesJun 26, 2026
cognee on BEAM: SOTA Results Without a Benchmark-Specific Memory System

TutorialsMar 10, 2026
Structure Your Skills with Cognee

TutorialsDec 12, 2025
Beyond Recall: Building Persistent Memory in AI Agents with Cognee

TutorialsDec 5, 2025
Cut Through the Noise: Build Your Smart News Agent with cognee

TutorialsMar 10, 2026
Structure Your Skills with Cognee

TutorialsDec 12, 2025
Beyond Recall: Building Persistent Memory in AI Agents with Cognee

TutorialsDec 5, 2025
Cut Through the Noise: Build Your Smart News Agent with cognee

IntegrationsJun 1, 2026
Cut Cognee's Vector Memory by 8x with Qdrant's TurboQuant

IntegrationsMar 10, 2026
ScrapeGraphAI + Cognee: Turn Live Web Data Into a Knowledge Graph

IntegrationsMar 6, 2026
OpenClaw Agents: 3 Viral Use Case Ideas Powered by Cognee

IntegrationsJun 1, 2026
Cut Cognee's Vector Memory by 8x with Qdrant's TurboQuant

IntegrationsMar 10, 2026
ScrapeGraphAI + Cognee: Turn Live Web Data Into a Knowledge Graph

IntegrationsMar 6, 2026