> **Building with AI coding agents?** Install the authstack plugin with one command. This equips your agent with accurate Scalekit implementation patterns.
>
> **Recommended**:
> ```bash
> npx @scalekit-inc/cli setup
> ```
>
> Global:
> ```bash
> npm install -g @scalekit-inc/cli
> scalekit setup
> ```
>
> Supports Claude Code, Cursor, GitHub Copilot, Codex + skills for 40+ agents.
> Features: full-stack-auth, agent-auth, mcp-auth, modular-sso, modular-scim.
> [Full setup guide](https://docs.scalekit.com/dev-kit/build-with-ai/)

---

# Cognee connector

1. ### Install the SDK

   ```bash frame="terminal"
       npm install @scalekit-sdk/node
       ```
     ```bash frame="terminal"
       pip install scalekit
       ```
     Full SDK reference: [Node.js](/agentkit/sdks/node/) | [Python](/agentkit/sdks/python/)

2. ### Set your credentials

   <AgentKitCredentials />

3. ### Set up the connector

   Register your Cognee credentials with Scalekit so it can authenticate requests on your behalf. You do this once per environment.

   <details>
   <summary>Dashboard setup steps</summary>

   <SetupCogneeSection />

   </details>

4. ### Make your first call

   <QuickstartGenericApikeySection connector="cognee" toolName="cognee_check_status" providerName="Cognee" />

## What you can do

Connect this agent connector to let your agent:

- **Visualize records** — Generate a human-viewable HTML visualization of a dataset's knowledge graph — an interactive page with nodes and edges — distinct from Get dataset graph, which returns the raw node/edge JSON
- **Ingest skill** — Ingest a reusable skill from inline SKILL.md markdown text, without uploading a file
- **Entry remember** — Store a single typed memory entry directly into the session cache (or, for skill runs, the permanent graph), bypassing the bulk ingest+cognify flow used by Improve/Remember
- **History recall** — Get the authenticated user's history of prior recall (search) queries and results, each with id, text, user, and created_at
- **Delete ontology** — Delete an uploaded OWL ontology by its key, exactly as provided at upload time
- **List ontologies, datasets, dataset data** — List the OWL ontology files uploaded to this Cognee account

## Common workflows

<SectionAfterSetupCogneeCommonWorkflows />

## Tool list

Use the exact tool names from the **Tool list** below when you call `execute_tool`. If you're not sure which name to use, list the tools available for the current user first.

<ToolList tools={tools} />

---

## More Scalekit documentation

| Resource | What it contains | When to use it |
|----------|-----------------|----------------|
| [/llms.txt](/llms.txt) | Structured index with routing hints per product area | Start here — find which documentation set covers your topic before loading full content |
| [/llms-full.txt](/llms-full.txt) | Complete documentation for all Scalekit products in one file | Use when you need exhaustive context across multiple products or when the topic spans several areas |
| [sitemap-0.xml](https://docs.scalekit.com/sitemap-0.xml) | Full URL list of every documentation page | Use to discover specific page URLs you can fetch for targeted, page-level answers |