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TeamCopilot is a shared AI agent for teams. Instead of every person maintaining their own local agent setup, your team configures one shared environment that everyone can use through the same agent and web UI. It is designed for teams that want:
  • One shared agent setup instead of separate personal setups
  • Shared custom skills and tools that can be reused across the team
  • Permission controls for sensitive skills and tools
  • Approval workflows before new skills or tools become available
  • A self-hosted deployment model so chats, secrets, and data stay on your infrastructure
  • Access from a web UI, including when you are away from your work machine

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Installation and setup

The quickest way to get started is with the npm-based setup from the TeamCopilot repository.

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Prerequisites

  • Node.js 20+
  • npm
  • Python 3.10+

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1. Initialize TeamCopilot

Run the initializer in the folder you want TeamCopilot to use: 
npx teamcopilot init
This writes or updates a local .env file in the current directory. By default, WORKSPACE_DIR is set to the current directory as an absolute path. If you want to provide values up front, you can pass them during initialization: 
npx teamcopilot init \
  --workspace-dir /absolute/path/to/workspace \
  --teamcopilot-port 5124 \
  --opencode-port 4096 \
  --opencode-model openai/gpt-5.3-codex

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2. Start the server

npx teamcopilot start
After the server starts, open http://localhost:5124.

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Environment variables created by the init command

  • WORKSPACE_DIR: Directory where workflows, user data and skills are stored
  • TEAMCOPILOT_HOST: Server host, default 0.0.0.0
  • TEAMCOPILOT_PORT: Server port, default 5124
  • OPENCODE_PORT: Internal OpenCode server port, default 4096
  • OPENCODE_MODEL: Model used by OpenCode, default openai/gpt-5.3-codex