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feat: initial cognee integration
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README.md

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<div style="text-align: center">
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<a href="https://github.com/topoteretes/cognee">
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<img src="https://raw.githubusercontent.com/topoteretes/cognee/refs/heads/dev/assets/cognee-logo-transparent.png" alt="Cognee Logo" height="60">
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</a>
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<br />
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cognee - memory layer for AI apps and Agents
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[![GitHub forks](https://img.shields.io/github/forks/topoteretes/cognee.svg?style=social&label=Fork&maxAge=2592000)](https://GitHub.com/topoteretes/cognee/network/)
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[![GitHub stars](https://img.shields.io/github/stars/topoteretes/cognee.svg?style=social&label=Star&maxAge=2592000)](https://GitHub.com/topoteretes/cognee/stargazers/)
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[![GitHub commits](https://badgen.net/github/commits/topoteretes/cognee)](https://GitHub.com/topoteretes/cognee/commit/)
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[![Github tag](https://badgen.net/github/tag/topoteretes/cognee)](https://github.com/topoteretes/cognee/tags/)
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[![Downloads](https://static.pepy.tech/badge/cognee)](https://pepy.tech/project/cognee)
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[![License](https://img.shields.io/github/license/topoteretes/cognee?colorA=00C586&colorB=000000)](https://github.com/topoteretes/cognee/blob/main/LICENSE)
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[![Contributors](https://img.shields.io/github/contributors/topoteretes/cognee?colorA=00C586&colorB=000000)](https://github.com/topoteretes/cognee/graphs/contributors)
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We build for developers who need a reliable, production-ready data layer for AI applications
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</div>
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# What is cognee?
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Cognee implements scalable, modular ECL (Extract, Cognify, Load) pipelines that allow you to interconnect and retrieve past conversations, documents, and audio transcriptions while reducing hallucinations, developer effort, and cost.
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Cognee merges graph and vector databases to uncover hidden relationships and new patterns in your data. You can automatically model, load and retrieve entities and objects representing your business domain and analyze their relationships, uncovering insights that neither vector stores nor graph stores alone can provide. Learn more about use-cases [here](https://docs.cognee.ai/use_cases).
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Try it in a Google Colab <a href="https://colab.research.google.com/drive/1g-Qnx6l_ecHZi0IOw23rg0qC4TYvEvWZ?usp=sharing">notebook</a> or have a look at our <a href="https://docs.cognee.ai">documentation</a>.
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If you have questions, join our <a href="https://discord.gg/NQPKmU5CCg">Discord</a> community.
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Have you seen cognee's <a href="https://github.com/topoteretes/cognee-starter">starter repo</a>? Check it out!
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<div style="text-align: center">
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<img src="https://raw.githubusercontent.com/topoteretes/cognee/refs/heads/dev/assets/cognee_benefits.png" alt="Why cognee?" width="80%" />
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</div>
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# Cognee on hub.continue.dev
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You will find more information in the [Continue 1.0 Partnership Guide](https://continuedev.notion.site/Continue-1-0-Partnership-Guide-1811d55165f7802686fcd0b70464e778).
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Install Cognee by adding a Cognee block to your Continue pipeline.

blocks/public/cognee-context.yaml

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name: Cognee Context
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version: 0.0.1
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name: Cognee Context Provider
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version: 1.0.0
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schema: v1
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context:
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- provider: http
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- provider: http
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params:
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url: http://localhost:8000/api/v1/code-pipeline/retrieve,
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title: cognee,
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description: Cognee code context retrieval,
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url: http://localhost:8000/api/v1/code-pipeline/retrieve
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title: cognee
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description: Cognee code context retrieval
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displayTitle: cognee

blocks/public/cognee-mcp.yaml

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name: Cognee MCP
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version: 0.0.1
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version: 1.0.0
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schema: v1
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mcpServers:
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- name: Docker MCP Github
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- name: Cognee MCP
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command: docker
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args:
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- run
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- -i
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- --rm
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- cognee/cognee:main
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- cognee-mcp/cognee:main

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