Coworker

Open-source AI agent built with Mastra. Acts as an AI team member that handles tasks, answers questions, and manages workflows via chat. Supports OpenAI, Anthropic, Google Gemini, NVIDIA, Groq, Kimi, and any OpenAI-compatible provider.

Features

• AI chat assistant — answer questions, draft content, summarize documents, and brainstorm ideas
• App builder — Lovable-like builder for creating internal dashboards and tools, maintained by agents with git version control
• MCP UI — visual interface for managing MCP servers and building agent-maintained internal dashboards
• MCP registry — discover and install MCP servers from the built-in registry
• Skills marketplace — install community-built skills from ClawHub and skills.sh
• A2A protocol — let other AI agents discover and communicate with Coworker via Agent-to-Agent protocol
• Scheduled tasks — run recurring AI workflows on a cron schedule via Inngest
• Google Workspace — manage emails, calendar, and docs through natural language
• WhatsApp bridge — interact with your AI agent via WhatsApp messages
• File workspace — upload, manage, and reference files in agent conversations
• API access — secure API key authentication for programmatic access and integrations
• Multi-provider AI — switch between OpenAI, Anthropic, Google, NVIDIA, Groq, Kimi, or any OpenAI-compatible endpoint

Screenshots

<p align="center"> <img src="assets/home.png" width="720" alt="Home — chat input with file attachments and suggestions" /> </p> <p align="center"> <img src="assets/chat.png" width="720" alt="Chat — tool calls and structured responses" /> </p> <p align="center"> <img src="assets/autopilot.png" width="720" alt="Autopilot — scheduled tasks with cron triggers" /> </p> <p align="center"> <img src="assets/files.png" width="720" alt="Files — workspace file browser" /> </p> <p align="center"> <img src="assets/skills.png" width="720" alt="Superpowers — browse and install skills from ClawHub" /> </p> <p align="center"> <img src="assets/apps.png" width="720" alt="Apps — AI-generated internal tools and dashboards" /> </p> <p align="center"> <img src="assets/settings-ai.png" width="720" alt="Settings — shape your AI's personality and knowledge" /> </p> <p align="center"> <img src="assets/integrations.png" width="720" alt="Integrations — connect Google, Notion, Dropbox, and more" /> </p>

Stack

• Backend: Mastra agents + tools (TypeScript)
• Desktop: Electron app (React + Tailwind)
• Integrations: WhatsApp, Google Workspace (gog CLI), MCP
• Scheduling: Inngest
• Runtime: Bun

Deploy to Railway

One-click deploy of the Coworker server with Inngest, Postgres, Redis, and optional Tailscale private networking. After deploying, set your MODEL and API key (e.g. OPENAI_API_KEY) in the Railway service variables. See .env.example for all supported providers.

Download the desktop app for macOS and point it at your Railway server URL.

Self-Host

Backend

cp .env.example .env   # add your API keys
bun install
bun run dev            # http://localhost:4111

Desktop App

cd app && bun install && bun run dev

The app connects to http://localhost:4111 by default. To connect to a remote server, go to Settings > Advanced and update the Server URL.

Docker

docker compose up

Builds are automated via GitHub Actions and pushed to ghcr.io.

Auto-Updates

The desktop app supports automatic updates via GitHub Releases. When a new release is published, users are notified in Settings > Advanced where they can download and install the update.

Project Structure

src/mastra/
  agents/       # Agent definitions
  tools/        # Reusable tools
  workflows/    # Scheduled tasks
  gog/          # Google Workspace integration
  whatsapp/     # WhatsApp bridge
  mcp/          # MCP server
app/            # Electron desktop app