Cognee Server logo

Cognee Server

OrganizationPopular
topoteretes
cognee-server

Use when the user wants to run the cognee API server (and optional UI) on their own machine — starting it, checking it's healthy, connecting the SDK or other clients to it, and choosing the right auth posture.

Overview

Publishertopoteretes
Repositorycognee
Skill namecognee-server
Stars
32K
Forks
3.3K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by topoteretes on GitHub. Read the source before you install it.

Installation

Install the Cognee Server AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/topoteretes/cognee/tree/main/.agents/skills/cognee-server
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/topoteretes/cognee.git /tmp/cognee
mkdir -p .claude/skills
cp -r /tmp/cognee/.agents/skills/cognee-server .claude/skills/cognee-server
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cognee Server in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cognee Server on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cognee Server is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Start the cognee server locally

From an installed cognee (no Docker)

bash
cognee-cli -ui

launches the full local stack: FastAPI backend on http://localhost:8000 and the UI on http://localhost:3000. Needs LLM_API_KEY in the environment or .env. The interactive API reference is at http://localhost:8000/docs, health at /health.

For API-only serving via Docker instead, use the cognee-docker skill (the prebuilt cognee/cognee:main image or docker compose up from the repo).

Auth posture

ENABLE_BACKEND_ACCESS_CONTROL decides everything:

  • true (default): multi-tenant — auth required on every API call, per user+dataset database isolation.
  • false: single-user local mode — no auth, shared local databases. Right choice for a personal dev server; never for anything exposed.

REQUIRE_AUTHENTICATION=false is ignored while access control is on; to turn auth off you must set ENABLE_BACKEND_ACCESS_CONTROL=false.

Connecting clients to the running server

  • SDK / CLI against the server (instead of embedded local mode):

    bash
    cognee-cli serve --url http://localhost:8000        # local instance
    cognee-cli serve                                    # cognee cloud (device flow)
    cognee-cli serve --logout                           # disconnect

    In Python: await cognee.serve(url="http://localhost:8000").

  • HTTP: main routes live under /api/v1/ — the memory API is remember (plus remember/entry), recall, improve, forget; sessions covers session memory; datasets, users, visualize handle the rest. The legacy add, cognify, search, memify, and delete routes still exist and are what the memory routes call underneath (see cognee/api/client.py for the registered routers, or GET /openapi.json on a running server).

    Note there is no /api/v1/feedback route — feedback exists as a CLI command and in the SDK, but is not exposed over HTTP.

Graph visualization without the full UI

python
from cognee.api.v1.visualize import visualization_server

shutdown = visualization_server(port=8080)  # synchronous; returns a shutdown callable

Troubleshooting

  • Port 8000 already taken → stop the other service or remap (compose: "8080:8000").
  • 401/403 on every call → you're in multi-tenant mode; either authenticate or set ENABLE_BACKEND_ACCESS_CONTROL=false and restart.
  • recall/search returns [] instead of erroring → permission-filtered result; check dataset access rights for the calling user.

Frequently asked questions

What does the Cognee Server AI skill do?

Use when the user wants to run the cognee API server (and optional UI) on their own machine — starting it, checking it's healthy, connecting the SDK or other clients to it, and choosing the right auth posture.

Why use Cognee Server on TypingMind?

Because you install it once and use it with any model. Cognee Server is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cognee Server in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/topoteretes/cognee/tree/main/.agents/skills/cognee-server. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cognee Server?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cognee Server?

As many as you like. As long as a model supports skills, you can use Cognee Server with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cognee Server AI skill free?

Yes. It is published on GitHub by topoteretes under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇