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cognee

cognee is an open-source AI memory engine that turns unstructured data into a queryable knowledge graph for agents and LLM applications.

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For agents: cognee: open-source AI memory engine turning unstructured data into a queryable knowledge graph for agents, with getting-started docs, MCP overview and Cloud pr

ai memoryknowledge graphllm agentsmcp serveropen source

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llms.txt
https://www.cognee.ai/llms.txt
llms-full.txt
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AI and machine learning · AI agents and MCP
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Documentation: developer or product docs worth reading, nothing to call
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2026-10-19T10:41:12.001Z
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2026-10-20T08:40:03.460Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T12:52:50.703Z. Cached copy · Source on cognee.ai

# 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.

## Developer resources

- [Documentation (developer portal)](https://docs.cognee.ai): Full developer documentation, guides, and reference for building with cognee.
- [Quickstart](https://docs.cognee.ai/getting-started/quickstart): Install cognee and build your first memory pipeline in minutes.
- [REST API reference](https://docs.cognee.ai/api-reference/introduction): REST API endpoints, request/response schemas, and authentication (API keys and Bearer tokens).
- [OpenAPI / Swagger spec](https://api.aws.cognee.ai/docs): Interactive OpenAPI (Swagger) explorer auto-generated from the cognee Cloud API specification.
- [Python SDK reference](https://docs.cognee.ai/python-api): Reference for the cognee Python SDK.
- [MCP server](https://docs.cognee.ai/cognee-mcp/mcp-overview): cognee MCP server: expose cognee memory to MCP-compatible agents, IDEs, and tools.
- [cognee Cloud](https://docs.cognee.ai/cognee-cloud/overview): Managed cloud developer portal: API keys, dashboards, and hosted memory infrastructure.
- [GitHub](https://github.com/topoteretes/cognee): Source code, issues, and examples for the open-source memory engine.

## Latest 10 blog posts

- [ChatGPT Memory: How It Works, Its Limits & How to Build Your Own | Cognee](https://www.cognee.ai/chatgpt-memory): How ChatGPT memory works (saved memories and chat history reference), what it cannot do, why the API has no memory, and how to add persistent memory to your own app with cognee.
- [Knowledge Graphs and LLMs: How They Work Together | Cognee](https://www.cognee.ai/knowledge-graph-llm): How knowledge graphs and LLMs complement each other: LLMs build the graph, the graph grounds the LLM, GraphRAG connect
…

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