by quentintou · MCP 服务器 · ★ 13
🎯 Agent Board Multi-agent task orchestration for OpenClaw and AI agent teams. Kanban dashboard · REST API · MCP server · DAG dependencies · Auto-retry · Audit trail Features • Quick Start • OpenClaw Integration • API • MCP • Dashboard • Architecture Why Agent Board? Running multiple AI agents without coordination is chaos. Each agent works in isolation, tasks get duplicated, failures go unnoticed, and there's no way to build multi-step workflows. Agent Board fixes this. It's a task management system purpose-built for AI agent teams — whether you're running [OpenClaw](https://github.com/openc
| Stars | 13 |
| Forks | 1 |
| Language | TypeScript |
| Category | MCP 服务器 |
| License | MIT |
| Quality Score | 45.2/100 |
| Open Issues | 1 |
| Last Updated | 2026-02-05 |
| Created | 2026-02-04 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~6k |
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agent-board is Open-source multi-agent task board for OpenClaw. Kanban + DAG dependencies + MCP server + auto-retry + audit trail. Built for autonomous AI agent teams.. It is categorized as a MCP 服务器 with 13 GitHub stars.
agent-board is primarily written in TypeScript. It covers topics such as agent-orchestration, ai-agents, ai-automation.
You can find installation instructions and usage details in the agent-board GitHub repository at github.com/quentintou/agent-board. The project has 13 stars and 1 forks, indicating an active community.
agent-board is released under the MIT license, making it free to use and modify according to the license terms.