AI Agent Board

How It Works •
  Features •
  Getting Started •
  Environment Variables •
  Tests •
  Development •
  Contributing

AI Agent Board

A drag-and-drop Kanban board that delegates coding tasks to AI agents — GitHub Copilot, Claude Code, OpenAI Codex, OpenCode, Hermes, or OpenClaw. Drop a task into "In Progress," pick an agent, and it will plan, execute, and complete the work, streaming live progress back to the board.

How It Works

1. Create a task in the Backlog column
2. Drag it to In Progress — the agent panel opens automatically
3. Configure the run — set the repo path, branch name, agent type, and whether to use a git worktree
4. Click Start Agent — the selected agent begins working, streaming progress in real-time
5. Review the results — commands executed, files modified, output produced
6. Merge or create a PR — merge the branch to main locally, or create a PR if the repo has a GitHub remote

Multi-Agent Architecture

The server uses a provider pattern (via @codewithdan/agent-sdk-core) to support multiple AI coding agents behind a common interface:

- AgentProvider — creates sessions, reports availability
- AgentSession — runs a task, emits events, supports abort
- AgentManager — orchestrates sessions with timeouts, event caching, and graceful cleanup

Each task can specify which agent to use. Available agents are auto-detected at startup by checking for installed CLIs. Six providers are supported: Copilot, Claude Code, Codex, OpenCode, Hermes, and OpenClaw. Events from all providers are normalized into a common AgentEvent format and streamed to the UI via WebSocket.

Task Groups

For projects needing multiple parallel changes, Task Groups let you define a batch of related tasks in a single form:

1. Click New Group (or press G) to open the group creation dialog
2.…