Ai Agent Board

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

[](https://github.com/DanWahlin/ai-agent-board/actions/workflows/ci.yml)

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`](https://github.com/DanWahlin/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 st