Cognee - Open-Source Agent Memory Platform
Cognee is the open-source agent memory platform for LLM agents. Build persistent memory across sessions with graph, vector, and relational retrieval that runs self-hosted, in Docker, on-prem, or on Cognee Cloud.
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llms.txt Content
# cognee
> cognee is an open-source AI memory engine that turns unstructured data into a queryable knowledge graph for agents and LLM applications.
This file follows the llms.txt convention (https://llmstxt.org). It points language models at the most useful entry points on cognee.ai.
## Main pages
- [Home](https://www.cognee.ai/): cognee — open-source AI memory engine for agents.
- [Product](https://www.cognee.ai/product): How cognee turns unstructured data into a queryable memory graph for AI agents.
- [Pricing](https://www.cognee.ai/pricing): Plans and pricing for cognee Cloud and self-hosted deployments.
- [Consulting](https://www.cognee.ai/consulting): Hands-on engineering help to design, build, and ship AI memory systems with cognee.
- [Research & evaluation results](https://www.cognee.ai/research-and-evaluation-results): Benchmarks and evaluation results for cognee against other memory and retrieval systems.
- [About us](https://www.cognee.ai/about-us): The team and mission behind cognee.
- [Blog](https://www.cognee.ai/blog): Deep dives, tutorials, and product news from the cognee team.
- [Academy](https://www.cognee.ai/academy): Educational content on AI memory, knowledge graphs, and agentic systems.
- [Wiki](https://www.cognee.ai/wiki): Reference material and concepts behind cognee.
## Latest 10 blog posts
- [LLM vs Generative AI: Comparing Models, Memory, and Architecture | Cognee](https://www.cognee.ai/blog/fundamentals/llm-vs-generative-ai): Generative AI and LLMs are not the same thing. Learn the real difference, why architecture matters more than model size, and what memory and retrieval actually do.
- [Best Vector Database: Choosing for Search, RAG, and AI Memory | Cognee](https://www.cognee.ai/blog/guides/best-vector-database): There's no single best vector database — the right choice depends on your retrieval workload, deployment model, and whether you need search, RAG, or full AI memory.
- [Memory Tooling for AI Coding Agents 2026 | Cognee