> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cognee.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Integrations

> Connect Cognee to agent frameworks, observability tools, and evaluation tools.

Cognee works seamlessly with AI Agent frameworks and popular tools in the AI ecosystem.
These integrations help you **observe**, **evaluate**, **use** your AI Memory.

<Info>
  All integrations are designed to be lightweight and easy to configure, requiring minimal setup to get started.
</Info>

## Observability & Monitoring

Track performance, debug issues, and monitor your knowledge graph operations in production.

<CardGroup cols={2}>
  <Card title="OpenTelemetry" href="/integrations/opentelemetry-tracing" icon="chart-bar">
    **Vendor-neutral observability**

    Export OTEL traces, metrics, and logs for Cognee's memory operations to any OTLP-compatible backend (Grafana, Jaeger, Dash0, Dynatrace, and more).
  </Card>

  <Card title="Keywords AI" href="/integrations/keywordsai-integration" icon="tag">
    **LLM application tracing**

    Span-level tracing across tasks and workflows with minimal code using Cognee's observe abstraction.
  </Card>
</CardGroup>

## Evaluation & Testing

Measure and improve the quality of your knowledge graph outputs with comprehensive evaluation frameworks.

<CardGroup cols={1}>
  <Card title="DeepEval" href="/integrations/deepeval-integration" icon="test-tube">
    **Comprehensive RAG evaluation**

    Run QA & RAG metrics including Contextual Relevancy, Precision/Recall, and Coverage using LLM-as-a-judge workflows.
  </Card>
</CardGroup>

## Cloud LLM Providers

Connect to enterprise-grade LLM services through Cognee's flexible integration layer.

<CardGroup cols={1}>
  <Card title="AWS Bedrock" href="/integrations/aws-bedrock-integration" icon="cloud">
    **Enterprise LLM access**

    Use AWS Bedrock models including Claude, Nova/Titan, GPT-OSS, and others through Cognee's native Bedrock provider. LiteLLM proxy setup is optional.
  </Card>
</CardGroup>

## Data Ingestion

Scrape, extract, and ingest web content directly into Cognee's knowledge graph.

<CardGroup cols={2}>
  <Card title="GitHub" href="/integrations/github-integration" icon="github">
    **Org repositories to code graph**

    Install a GitHub App into an org and index every covered repository into one `github_<org>` dataset, kept fresh by webhooks and searchable with `SearchType.CODE`.
  </Card>

  <Card title="Linear" href="/integrations/linear-integration" icon="square-kanban">
    **Workspace issues + an agent that answers**

    Install Cognee as a Linear agent: @mention it or delegate an issue and it answers from memory, while the workspace's issues sync into one `linear_<workspace>` dataset via webhooks.
  </Card>

  <Card title="ScrapeGraphAI" href="/integrations/scrapegraphai-integration" icon="globe">
    **Web scraping to knowledge graph**

    Scrape URLs with natural language prompts and ingest the results directly into cognee.
  </Card>

  <Card title="Gmail" href="/integrations/dlt-integration#gmail-connector" icon="envelope">
    **Inbox to knowledge graph**

    Ingest Gmail messages via dlt with OAuth read-only access, incremental sync, and forget-on-delete. Ships as the standalone `cognee-community-connector-gmail` package.
  </Card>
</CardGroup>

## Agent Frameworks

Build stateful AI agents with persistent semantic memory that endures across sessions.

<CardGroup cols={3}>
  <Card title="LangGraph" href="/integrations/langgraph-integration" icon="bot">
    `add_tool` / `search_tool` for `create_agent`—no manual state management.
  </Card>

  <Card title="Google ADK" href="/integrations/google-adk-integration" icon="bot">
    Native `LongRunningFunctionTool` for async-first Gemini agents.
  </Card>

  <Card title="CrewAI" href="/integrations/crewai-integration" icon="bot">
    Shared crew memory via `add_tool` and `search_tool`.
  </Card>

  <Card title="Strands" href="/integrations/strands-integration" icon="bot">
    `cognee_tools()` exposing `remember` and `recall` (cognee v1.0).
  </Card>

  <Card title="Hermes Agent" href="/integrations/hermes-agent-integration" icon="bot">
    Drop-in memory provider plugin—no code required.
  </Card>

  <Card title="Vellum" href="/integrations/vellum-integration" icon="bot">
    Persistent memory for Vellum agents with the Cognee plugin.
  </Card>

  <Card title="OpenAI Agent SDK" href="/integrations/openai-agents-sdk-integration" icon="bot">
    Native `function_tool` pattern with agent handoffs support.
  </Card>

  <Card title="OpenClaw" href="/integrations/openclaw-integration" icon="bot">
    Multi-scope auto-index and recall for your personal AI agent.
  </Card>
</CardGroup>

## Coding Agents

Give your terminal coding agents persistent memory with the Cognee plugin—no code, no `pip install`. It hooks into the agent's lifecycle to capture and recall memory automatically.

<CardGroup cols={2}>
  <Card title="Claude Code" href="/integrations/claude-code-integration" icon="bot">
    `claude plugin install cognee-memory@cognee` — memory across every session.
  </Card>

  <Card title="Codex" href="/integrations/codex-integration" icon="terminal">
    `codex plugin add cognee@cognee` — memory across every session.
  </Card>

  <Card title="Pi" href="/integrations/pi-integration" icon="pi">
    `pi install npm:@kerryhatcher/pi-cognee` — community extension with SDK and MCP modes.
  </Card>

  <Card title="Docker Sandboxes" href="/integrations/docker-sandboxes-kit" icon="container">
    `sbx run claude --kit ./cognee-memory` — a mixin kit that stacks memory onto any sandboxed agent.
  </Card>
</CardGroup>

## No-Code & Low-Code

Build memory pipelines visually—no Python required.

<CardGroup cols={2}>
  <Card title="n8n" href="/integrations/n8n-integration" icon="workflow">
    No-code memory workflows with all n8n integrations.
  </Card>

  <Card title="Dify" href="/integrations/dify-integration" icon="workflow">
    Cognee memory tools for Dify apps and workflows (Cloud or self-hosted).
  </Card>
</CardGroup>

## Team Chat

Query and grow your memory without leaving a conversation.

<CardGroup cols={1}>
  <Card title="Slack" href="/integrations/slack-integration" icon="messages-square">
    Ask with `/cognee-ask`, save with `/cognee-remember` or the **Remember this** shortcut, and link your account — all from Slack.
  </Card>
</CardGroup>

## Agent IDEs & Development Tools

Integrate Cognee directly into your development workflow with MCP-compatible tools and AI assistants.

<Accordion title="MCP Integrations" defaultOpen>
  <CardGroup cols={3}>
    <Card title="Cursor" href="/cognee-mcp/integrations/cursor" icon="code">
      AI-powered code editor integration
    </Card>

    <Card title="Continue" href="/cognee-mcp/integrations/continue" icon="play">
      VS Code AI assistant plugin
    </Card>

    <Card title="Claude Code" href="/cognee-mcp/integrations/claude-code" icon="brain">
      Anthropic's Claude integration
    </Card>
  </CardGroup>

  <CardGroup cols={2}>
    <Card title="Cline" href="/cognee-mcp/integrations/cline" icon="terminal">
      VS Code AI coding extension
    </Card>

    <Card title="Codex" href="/cognee-mcp/integrations/codex" icon="terminal">
      OpenAI coding agent with MCP support
    </Card>
  </CardGroup>
</Accordion>

<Note>
  Cognee's Model Context Protocol (MCP) adapter enables seamless integration with AI assistants, providing direct access to your knowledge graphs for in-context assistance.
</Note>

## Contributing Integrations

Don't see your favorite tool? Cognee is open and extensible—help us grow the ecosystem!

<Info>
  All community database integrations are maintained in the [cognee-community](https://github.com/topoteretes/cognee-community) repository, keeping the core Cognee package lean while providing extensibility.
</Info>