open-multi-agent
Open Multi Agent — a self-hosted TypeScript agent runtime with durable approvals and verifiable run records.
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
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.
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.
Open http://127.0.0.1:5173, create an account, and connect your model provider.
Create a bot in the chat interface, give it a computer (local Docker is on by default), and start delegating.
Bots are set up once and managed from chat; run the backend on a server and they stay on when your laptop closes.
Bring your own model, and choose where agents compute: local Docker, E2B, Daytona, CreateOS, Box or Railway.
Web app, Electron desktop app, iPhone (App Store) and Android (APK) clients all talk to your instance.
Composio, Pipedream Connect, MCP and OpenAPI integrations connect bots to the rest of your stack.
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.shSource development uses pnpm 9 and Docker, on the supported Node.js lines.
git clone https://github.com/elie222/rakazo.gitCreate an account and connect a model.
http://127.0.0.1:5173elie222; the project site is rakazo.com.
Yes, Apache-2.0 licensed. The software is free; model and sandbox-provider usage is billed by those providers.
You bring your own model access; optional remote computer providers (E2B, Daytona and similar) need their own keys.
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.
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.
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