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Agent Board

A local supervisory dashboard for a fleet of Claude Code AI agents that collaborates on a Kanban board to ship software features autonomously.

What it does

You create a card (user story) in the Backlog column. Six specialized agents then process it through a pipeline — Planner, Scribe, Forge, Loom, Sentinel, Pilot — each owning one column. Agents write specs, branches, tests, and deployment artifacts, logging every action in real time. You observe, comment, or intervene when a card gets blocked.

Backlog → Specification → Development → Testing → Deploy → Done

Tech stack

Layer Stack
Frontend React 18, Vite 5, custom CSS (design tokens)
Backend Fastify 5, better-sqlite3, Zod
Real-time WebSocket (@fastify/websocket)
AI runtime Claude CLI subprocess (claude --print)
Monorepo pnpm workspaces

Prerequisites

  • Node.js ≥ 20
  • pnpm
  • Claude Code CLI installed and authenticated (claude login), or an ANTHROPIC_API_KEY

Setup

# 1. Install dependencies
pnpm install

# 2. Set your Anthropic API key (skip if already authenticated via claude login)
cp .env.example .env
# Edit .env and set ANTHROPIC_API_KEY=sk-ant-...

# 3. Start frontend + backend in parallel
pnpm dev

Open http://localhost:5173. The backend API runs on port 4000.

Environment variables

Variable Default Description
ANTHROPIC_API_KEY Required unless authenticated via claude login
CLAUDE_CODE_BIN claude Path to the Claude CLI binary
CLAUDE_CODE_WORK_DIR current directory Working directory agents operate in

Project structure

agent-board/
├── apps/
│   ├── web/        # React frontend (Vite)
│   └── server/     # Fastify backend
├── packages/
│   └── types/      # Shared TypeScript types
├── data/           # SQLite database + agent artifacts (gitignored)
└── handoff/        # Design brief, tokens, milestone docs (reference only)

Scripts

pnpm dev      # Start web (port 5173) + server (port 4000) concurrently
pnpm build    # Build both apps for production

Key features

  • Autonomous pipeline — cards advance through columns as agents complete their work
  • Blocked state — agents can block a card with a reason; you can manually unblock
  • Acceptance criteria — defined per card; agents mark checklist items as done
  • Artifacts — specs, branch names, test results attached to each card
  • Activity timeline — every agent action logged with timestamp on the card
  • Comments — address comments to a specific agent to steer their next action
  • Live status bar — shows API connection, model, cards done/in-flight/blocked
  • Agent customization — edit system prompts, tool allowlist, column ownership per agent

Architecture notes

The orchestrator listens for card:entered events and spawns the agent assigned to that column. Each agent runs as a claude --print subprocess, receives a system prompt with the card context, and returns a structured JSON outcome (advance, block, artifacts, acceptance updates). The frontend and backend stay in sync via WebSocket broadcasts.

All state is local — SQLite database, no auth, no external services beyond the Anthropic API.

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