# www.cognee.ai

> AI-optimized mirror of www.cognee.ai containing 50 pages totalling 29,893 words of clean markdown content, structured data, and semantic HTML. Original source: https://www.cognee.ai/. Last updated: 2026-05-01T18:29:48.971Z.

Each page is available as HTML (with JSON-LD structured data) and Markdown (text-only, ideal for LLMs and RAG).

## Homepage

- [Knowledge engine that learns](/site-root.html): Cognee is an open source AI memory engine. Try it today to find hidden connections in your data and improve your AI infrastructure., Cognee is an open source AI memory engine. Try it today to find hidden connections in your data and improve your AI infrastructure. (379 words)

## Articles & Blog Posts

- [blog/integrations/langgraph-cognee-integration-build-langgraph-agents-with-persistent-cognee-memory.html](/blog/integrations/langgraph-cognee-integration-build-langgraph-agents-with-persistent-cognee-memory.html) (1 words)
- [blog/integrations/structured-outputs-with-baml-and-cognee/index.html](/blog/integrations/structured-outputs-with-baml-and-cognee/index.html) (1 words)
- [blog/cognee-news/cognee-rust-sdk-for-edge/index.html](/blog/cognee-news/cognee-rust-sdk-for-edge/index.html) (1 words)
- [blog/integrations/google-adk-cognee-integration-build-agents-with-persistent-memory.html](/blog/integrations/google-adk-cognee-integration-build-agents-with-persistent-memory.html) (1 words)
- [blog/tutorials/ai-news-agent-with-cognee/index.html](/blog/tutorials/ai-news-agent-with-cognee/index.html) (1 words)
- [blog/tutorials/beyond-recall-building-persistent-memory-in-ai-agents-with-cognee.html](/blog/tutorials/beyond-recall-building-persistent-memory-in-ai-agents-with-cognee.html) (1 words)
- [blog/deep-dives/context-graphs-world-models-and-behavioral-validation.html](/blog/deep-dives/context-graphs-world-models-and-behavioral-validation.html) (1 words)
- [Connecting Models to Memory: Introducing cognee MCP for Universal AI Access](/blog/cognee-news/introducing-cognee-mcp/index.html): Bridge cognee's AI memory and agent frameworks like LangGraph, OpenAI MCP, Anthropic MCP, and others with MCP (Model Context Protocol). Build smarter apps today! (1,556 words)
- [blog/integrations/n8n-cognee-integration-build-workflows-with-memory/index.html](/blog/integrations/n8n-cognee-integration-build-workflows-with-memory/index.html) (1 words)
- [blog/integrations/what-is-openclaw-ai-and-how-we-give-it-memory-with-cognee.html](/blog/integrations/what-is-openclaw-ai-and-how-we-give-it-memory-with-cognee.html) (1 words)
- [blog/integrations/claude-agent-sdk-persistent-memory-with-cognee-integration.html](/blog/integrations/claude-agent-sdk-persistent-memory-with-cognee-integration.html) (1 words)
- [blog/integrations/openclaw-agents-and-cognee/index.html](/blog/integrations/openclaw-agents-and-cognee/index.html) (1 words)
- [blog/integrations/scrapegraphai-cognee/index.html](/blog/integrations/scrapegraphai-cognee/index.html) (1 words)
- [blog/deep-dives/grounding-ai-memory/index.html](/blog/deep-dives/grounding-ai-memory/index.html) (1 words)
- [Why Agent Memory Breaks (and How to Fix It)](/blog/deep-dives/why-agent-memory-breaks/index.html): Neuroscience guides Cognee's AI memory. Bayesian brain and predictive coding turn agent logs into world model traces so multi-actor systems stay sharp reliable. (1,743 words)
- [Scaling Intelligence: Introducing Distributed cognee for Parallel Dataset Processing](/blog/cognee-news/scaling-intelligence-introducing-distributed-cognee-for-parallel-dataset-processing.html): Distributed cognee revolutionizes processing large datasets by enabling parallel execution on remote infrastructure, slashing processing times from 8+ hours to ~45 minutes while maintaining high-quality results. (1,239 words)
- [Unlock Your LLM's Time Awareness: Introducing Temporal Cognification](/blog/cognee-news/unlock-your-llm-s-time-awareness-introducing-temporal-cognification.html): Temporal cognification brings time-awareness to AI memory, enabling LLMs to understand when events happened, how information evolved, and what context was relevant at any given moment. (1,523 words)
- [blog/deep-dives/cognee-cli-replaces-mcp-oauth/index.html](/blog/deep-dives/cognee-cli-replaces-mcp-oauth/index.html) (1 words)
- [Expanding Custom Graph Models for Reliable Agent Memory & Retrieval](/blog/deep-dives/expanding-custom-graph-models-for-reliable-agent-memory-and-retrieval.html): 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. (1,530 words)
- [blog/deep-dives/index.html](/blog/deep-dives/index.html) (1 words)
- [Competition Comparison - Form vs. Function](/blog/deep-dives/competition-comparison-form-vs-function/index.html): Explore the balance between elegant developer experience and production-ready functionality in AI memory platforms. Learn what to prioritize when evaluating solutions. (1,806 words)
- [Memory as a Harness: Turning Execution Into Learning](/blog/deep-dives/memory-as-a-harness-turning-execution-into-learning.html): Memory as a Harness: Turning Execution Into Learning (1,688 words)
- [Blog: Cognee News](/blog/cognee-news/index.html): We cover everything from AI infrastructure to LLM evaluation and more. This page collects all posts from Cognee News category. (887 words)
- [blog/fundamentals/how-cognee-builds-ai-memory/index.html](/blog/fundamentals/how-cognee-builds-ai-memory/index.html) (1 words)
- [Memory as a Decorator](/blog/deep-dives/memory-as-a-decorator/index.html): Adding memory to agentic workflows used to mean restructuring your stack. One decorator changes that. We ran 198 simulated sales conversations — and the results make a strong case for structured memory. (999 words)
- [The Cognee Blog](/blog/index.html): Here we write about cognee, llm agents, llm evaluation, llm memory and other LLM related topics. (879 words)
- [Cognee Raises $7.5M Seed to Build Memory for AI Agents](/blog/cognee-news/cognee-raises-seven-million-five-hundred-thousand-dollars-seed.html): 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. (1,026 words)
- [Cognitive Architectures for Language Agents: Explained](/blog/fundamentals/cognitive-architectures-for-language-agents-explained.html): Discover how cognitive architectures enhancing LLM memory and adaptive decision-making for Agents. Learn CoALA framework for context-aware, high-performing AI today! (1,408 words)
- [Blog: Integrations](/blog/integrations/index.html): We cover everything from AI infrastructure to LLM evaluation and more. This page collects all posts from Integrations category. (874 words)
- [Blog: Fundamentals](/blog/fundamentals/index.html): We cover everything from AI infrastructure to LLM evaluation and more. This page collects all posts from Fundamentals category. (892 words)
- [Vectors + Graphs in Practice: Field Notes from the cognee Backend](/blog/fundamentals/vectors-and-graphs-in-practice/index.html): Pair a vector database for semantic recall with a graph database for explainable paths and provenance in GraphRAG pipelines. See trade-offs and tips - read now. (1,222 words)
- [Cognee Benchmark Results](/research-and-evaluation-results/index.html): AI memory benchmark results: Cognee, Zep/Graphiti, and Mem0 compared using Human‑LLM Correctness, DeepEval Correctness, F1 score, and Exact Match metrics. (321 words)
- [Structure Your Skills with Cognee](/blog/tutorials/structure-your-skills-with-cognee/index.html): 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. (1,171 words)
- [BuildingSmarterTogether](/consulting/index.html): Partner with Cognee to build AI memory solutions. Explore consulting services and become a Cognee integration partner., Partner with Cognee to build AI memory solutions. Explore consulting services and become a Cognee integration partner. (360 words)
- [Blog: Case Studies](/blog/case-studies/index.html): We cover everything from AI infrastructure to LLM evaluation and more. This page collects all posts from Case Studies category. (557 words)
- [Blog: Tutorials](/blog/tutorials/index.html): We cover everything from AI infrastructure to LLM evaluation and more. This page collects all posts from Tutorials category. (464 words)
- [Cognee Wiki](/wiki/index.html): A glossary of terms related to AI memory engines and cognee"s technology., A glossary of terms related to AI memory engines and cognee"s technology. (925 words)
- [Building Self-Improving Skills for Agents](/blog/deep-dives/building-self-improving-skills-for-agents/index.html): 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. (1,267 words)
- [Claude Code's Leak Reveals Anthropic's Obsession with Cognee](/blog/news/claude-code-leak-cognee-article/index.html): 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. (791 words)
- [The Cognee Academy](/academy/index.html): Learn about AI memory, knowledge graphs, vector databases, and RAG systems. Free educational content from the Cognee team., Learn about AI memory, knowledge graphs, vector databases, and RAG systems. Free educational content from the Cognee team. (220 words)
- [Build Smarter Agents Your Way](/product/index.html): Discover Cognee's AI memory engine. Enterprise-ready features, production accuracy, and best-in-class data security for your AI infrastructure., Discover Cognee's AI memory engine. Enterprise-ready features, production accuracy, and best-in-class data security for your AI infrastructure. (304 words)
- [Simple Pricing for Every Team](/pricing/index.html): Explore Cognee pricing plans. From open-source to enterprise, find the right plan for your AI memory infrastructure., Explore Cognee pricing plans. From open-source to enterprise, find the right plan for your AI memory infrastructure. (202 words)
- [404](/blog/news/index.html): We cover everything from AI infrastructure to LLM evaluation and more. This page collects all posts from News category. (16 words)
- [blog/cognee-news/product-announcement-user-management/index.html](/blog/cognee-news/product-announcement-user-management/index.html) (1 words)
- [Impressum (Legal Notice)](/impressum/index.html): Legal notice for Topoteretes UG (haftungsbeschränkt), the company behind Cognee. Company details, address, and registration information. (57 words)
- [Even More Depth & Nuance: Announcing Advanced Weights for Enhanced Reasoning](/blog/cognee-news/product-announcement-memory-weights/index.html): Build richer AI memory with weighted nodes and edges—enable memory layers and context engineering for recency and importance. Try Cognee for enhanced reasoning. (1,352 words)
- [🚀 cognee Update: September 2025](/blog/cognee-news/cognee-september-updates/index.html): Cognee September recap: AI memory upgrades, graph embeddings, new UI, and case studies. Improve context engineering and retrieval—read now and start building. (995 words)
- [Agents Don't Need Another Protocol. They Need a Good CLI.](/blog/deep-dives/agents-dont-need-a-protocol-they-need-a-cli/index.html): Your agent forgets everything between sessions. The fix isn't a bigger context window — it's persistent memory via a CLI. Four commands give your agent cross-session, graph-structured memory. (1,044 words)
- [Open Source is Our DNA](/about-us/index.html): Meet the team behind Cognee. Learn about our mission to build the open-source AI memory engine and our offices in Berlin and San Francisco., Meet the team behind Cognee. Learn about our mission to build the open-source AI memory engine and our offices in Berlin and San Francisco. (179 words)

## Resources

- [Full Page Index](/index.html): Browse all cached pages with rich metadata
- [About This Cache](/content/about.html): Methodology, technical details, and usage guidelines
- [XML Sitemap](/content/sitemap.xml): Machine-readable sitemap for crawler discovery
- [Robots.txt](/content/robots.txt): Crawler directives