LibreAI / AI Agents / Rakazo
// agents · elie222/rakazo

Rakazo

Rakazo — an open-source, self-hosted AI agent for persistent teammates: bring your own model and computer, run it on web, desktop, iPhone and Android

★ 4.1k stars⑂ 704 forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

Rakazo is an open-source ai agents project by elie222 (elie222/rakazo on GitHub). It has 4,097 GitHub stars and 704 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 15 October 2026.

Repository
elie222/rakazo
GitHub stars
4,097
Forks
704
License
Apache-2.0
Last updated on GitHub
15 October 2026
Category
AI Agents
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Run the installer

    On a machine with Docker Engine and the Compose plugin, run the published-images installer — it downloads the Compose files, creates a .env with random secrets, and starts Rakazo.

  2. Create your account and connect a model

    Open http://127.0.0.1:5173, create an account, and connect your model provider.

  3. Set up your first teammate

    Create a bot in the chat interface, give it a computer (local Docker is on by default), and start delegating.

// features

Why people love it

Persistent teammates

Bots are set up once and managed from chat; run the backend on a server and they stay on when your laptop closes.

Your model, your computer

Bring your own model, and choose where agents compute: local Docker, E2B, Daytona, CreateOS, Box or Railway.

Every surface covered

Web app, Electron desktop app, iPhone (App Store) and Android (APK) clients all talk to your instance.

Integration-ready

Composio, Pipedream Connect, MCP and OpenAPI integrations connect bots to the rest of your stack.

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// run it

Run it yourself

  1. Install from published images

    No checkout required — the installer fetches the Compose files and starts the stack.

    mkdir -p rakazo && cd rakazo && curl -fsSLO https://raw.githubusercontent.com/elie222/rakazo/main/infra/compose/install-images.sh && bash install-images.sh
  2. Or clone for development

    Source development uses pnpm 9 and Docker, on the supported Node.js lines.

    git clone https://github.com/elie222/rakazo.git
  3. Open the app

    Create an account and connect a model.

    http://127.0.0.1:5173
// use cases

What you can build

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// faq

Questions, answered

Who maintains Rakazo?

elie222; the project site is rakazo.com.

Is it free?

Yes, Apache-2.0 licensed. The software is free; model and sandbox-provider usage is billed by those providers.

Does it need a paid API key?

You bring your own model access; optional remote computer providers (E2B, Daytona and similar) need their own keys.

How does it compare to a well-known alternative?

Grok Bot and Muse are hosted assistants. Rakazo is the self-hosted equivalent: your instance, your model choice, your computers — with web, desktop and mobile clients.

How do I get started?

Run the one-command Docker installer, open http://127.0.0.1:5173, create an account, connect a model, and set up your first bot from chat.

// keep exploring

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// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if Rakazo is not the right fit.

Get Rakazo

Free and open — grab the source, star the repo, and start creating.