📄 工具详情 ⚙️ 安装教程 📚 使用教程
🔌
MCP工具

agent-teams-ai

基于 TypeScript · 让 AI 助手直接操作你的系统与工具
⭐ 966 Stars 🍴 211 Forks 💻 TypeScript 📄 AGPL-3.0 🏷 AI 7.8分
7.8AI 综合评分
mcpagent-teamsaiai-agentsai-assistantai-toolstypescript
⬇ 下载源码（GPL） ⚙️ 配置说明
✦ AI Skill Hub 推荐

AI Skill Hub 推荐使用：agent-teams-ai 是一款优质的MCP工具。AI 综合评分 7.8 分，在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案，这是一个值得深入了解的选择。

📚 深度解析
agent-teams-ai 是一款基于 MCP（Model Context Protocol）标准协议的 AI 工具扩展。MCP 协议由 Anthropic 开发并开源，旨在建立 AI 模型与外部工具之间的标准化通信接口，目前已被 Claude Desktop、Claude Code、Cursor 等主流 AI 工具采纳。

通过安装 agent-teams-ai，你的 AI 助手将获得额外的工具调用能力，可以用自然语言直接操控该工具的功能，无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置，永久增强"——配置完成后，每次与 AI 对话时都可以无缝调用这些工具。

在技术实现上，MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信，工具的功能以"工具列表"的形式暴露给 AI 模型，AI 可以按需调用。agent-teams-ai 提供了结构化的工具调用接口，使 AI 模型能够精确地理解和使用每个功能点，显著降低 AI 在工具使用上的错误率。

与传统的 API 集成相比，MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON，即可让 AI 获得全新能力。AI Skill Hub 将 agent-teams-ai 评为 AI 评分 7.8 分，属于同类工具中的优质选择。
📋 工具概览

agent-teams-ai 是一款遵循 MCP（Model Context Protocol）标准协议的 AI 工具扩展。通过 MCP 协议，它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务，实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用，都可以通过自然语言在 AI 对话中直接触发，极大提升生产效率。

GitHub Stars
⭐ 966
开发语言
TypeScript
支持平台
Windows / macOS / Linux
维护状态
正常维护，社区驱动
开源协议
AGPL-3.0
AI 综合评分
7.8 分
工具类型
MCP工具
Forks
211
📖 中文文档
以下内容由 AI Skill Hub 根据项目信息自动整理，如需查看完整原始文档请访问底部「原始来源」。

agent-teams-ai 是一款遵循 MCP（Model Context Protocol）标准协议的 AI 工具扩展。通过 MCP 协议，它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务，实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用，都可以通过自然语言在 AI 对话中直接触发，极大提升生产效率。

📌 核心特色
  • 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
  • 提供结构化工具调用接口，显著降低 AI 集成复杂度
  • 支持 Claude Desktop 和 Claude Code 无缝接入，开箱即用
  • 可与其他 MCP 工具组合叠加，构建完整 AI 工作站
  • 轻量无侵入设计，不影响现有系统架构
🎯 主要使用场景
  • 在 Claude Desktop 对话中直接调用本地工具，实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务，代替繁琐手动操作
  • 将多个 MCP 工具组合使用，构建个人专属 AI 工作站
以下安装命令基于项目开发语言和类型自动生成，实际以官方 README 为准。
安装命令
# 方式一：通过 Claude Code CLI 一键安装
claude skill install https://github.com/777genius/agent-teams-ai

# 方式二：手动配置 claude_desktop_config.json
{
  "mcpServers": {
    "agent-teams-ai": {
      "command": "npx",
      "args": ["-y", "agent-teams-ai"]
    }
  }
}

# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
📋 安装步骤说明
  1. 确认已安装 Node.js（v18 或以上版本）
  2. 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
  3. 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
  4. 保存配置文件并重启 Claude 客户端
  5. 重启后，在对话中即可使用本工具
以下用法示例由 AI Skill Hub 整理，涵盖最常见的使用场景。
常用命令 / 代码示例
# 安装后在 Claude 对话中直接使用
# 示例：
用户: 请帮我用 agent-teams-ai 执行以下任务...
Claude: [自动调用 agent-teams-ai MCP 工具处理请求]

# 查看可用工具列表
# 在 Claude 中输入："列出所有可用的 MCP 工具"
以下配置示例基于典型使用场景生成，具体参数请参照官方文档调整。
配置示例
// claude_desktop_config.json 配置示例
{
  "mcpServers": {
    "agent-teams-ai": {
      "command": "npx",
      "args": ["-y", "agent-teams-ai"],
      "env": {
        // "API_KEY": "your-api-key-here"
      }
    }
  }
}

// 保存后重启 Claude Desktop 生效
📑 README 深度解析 真实文档 完整度 45/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理，保留代码块、表格与列表结构。

简介

<p align="center"> <a href="docs/screenshots/1.jpg"><img src="docs/screenshots/1.jpg" width="75" alt="Kanban Board" /></a>&nbsp; <a href="docs/screenshots/7.png"><img src="docs/screenshots/7.png" width="75" alt="Code Review" /></a>&nbsp; <a href="docs/screenshots/2.jpg"><img src="docs/screenshots/2.jpg" width="75" alt="Team View" /></a>&nbsp; <a href="docs/screenshots/8.png"><img src="docs/screenshots/8.png" width="75" alt="Task Detail" /></a>&nbsp; <img src="resources/icons/png/1024x1024.png" alt="Agent Teams" width="80" />&nbsp; <a href="docs/screenshots/9.png"><img src="docs/screenshots/9.png" width="75" alt="Execution Logs" /></a>&nbsp; <a href="docs/screenshots/3.png"><img src="docs/screenshots/3.png" width="75" alt="Agent Comments" /></a>&nbsp; <a href="docs/screenshots/4.png"><img src="docs/screenshots/4.png" width="75" alt="Create Team" /></a>&nbsp; <a href="docs/screenshots/6.png"><img src="docs/screenshots/6.png" width="65" alt="Settings" /></a> </p>

Agent Teams

<p align="center"> <strong><code>You're the CTO, agents are your team. They handle tasks themselves, message each other, review each other. You just look at the kanban board and drink coffee.</code></strong> </p>

<p align="center"> <a href="https://github.com/777genius/agent-teams-ai/releases/latest"><img src=".github/badges/version.svg" alt="Latest Release" /></a>&nbsp; <a href="https://github.com/777genius/agent-teams-ai/actions/workflows/ci.yml"><img src="https://github.com/777genius/agent-teams-ai/actions/workflows/ci.yml/badge.svg" alt="CI Status" /></a>&nbsp; <a href="https://discord.gg/qtqSZSyuEc"><img src="https://img.shields.io/badge/Discord-Join%20us-5865F2?style=flat-square&logo=discord&logoColor=white" alt="Discord" /></a> </p>

<p align="center"> <sub>Free desktop app for AI agent teams. Start with a free model with no auth - no signup, API key, or card - or connect Claude/Codex/OpenCode provider access for more models. Not just coding agents.</sub> </p>

<img width="1304" height="820" alt="image" src="https://i.imgur.com/AugQy1B.jpeg" />

<a href="https://777genius.github.io/agent-teams-ai/">Watch demo on the site or here:</a>

https://github.com/user-attachments/assets/d1a85fe5-fb49-4009-b2c1-79ae8818e8c4

https://github.com/user-attachments/assets/9cae73cd-7f42-46e5-a8fb-ad6d41737ff8

</td> <td width="50%">

https://github.com/user-attachments/assets/35e27989-726d-4059-8662-bae610e46b42

</td> </tr> </table>

<br />

Installation

No prerequisites - the app can detect supported runtimes/providers and guide setup from the UI.

macOS Apple Silicon
macOS Intel 		Windows
May trigger SmartScreen — click "More info" → "Run anyway" 		Linux AppImage
.deb   .rpm   .pacman

Build for distribution

pnpm dist:mac:arm64  # macOS Apple Silicon (.dmg)
pnpm dist:mac:x64    # macOS Intel (.dmg)
pnpm dist:win        # Windows (.exe)
pnpm dist:linux      # Linux (AppImage/.deb/.rpm/.pacman)
pnpm dist            # Current platform

Distribution scripts run the production build and stage the bundled multimodel runtime from runtime.lock.json before packaging. Use pnpm clean:runtime to remove staged runtime files after local packaging.

Quick start

  1. Download the app for your platform (see Installation)
  2. Launch the desktop app - start with the free model with no auth, or let the setup wizard detect runtimes and guide provider authentication
  3. Create a team — Pick a project, define roles, write a provisioning prompt
  4. Watch — Agents spawn, create tasks, and work. You see it all on the kanban board

Use the desktop app as the primary product. The browser/web path is not needed for normal use and does not provide the full desktop runtime, IPC, terminal, provider auth, or team lifecycle behavior.

---

Comparison

FeatureAgent TeamsGastownPaperclipCursorClaude Code CLI
**Cross-team communication**✅ Messages between separate teams⚠️ Coordination across groups⚠️ Company-scoped org workN/A❌
**Agent-to-agent messaging**✅ Native real-time mailbox✅ Mailboxes + handoffs⚠️ Comments + @mentions❌✅ Team mailbox, no UI
**Linked tasks**✅ Tasks can link to and block each other⚠️ Task deps + grouped work✅ Goals, parent tasks, blockers❌✅ Shared task list
**Session analysis**✅ Task logs + token usage⚠️ Session recall, feed, metrics⚠️ Run transcripts + cost audit❌⚠️ Usage command, no UI
**Task attachments**✅ Auto-attach, agents read & attach files❌ Not task-level✅ Docs, attachments, work products⚠️ Chat session only⚠️ Chat images only
**Hunk-level review**✅ Accept / reject individual hunks❌❌ Bring your own review✅❌
**Built-in code editor**✅ With Git support❌❌ Control plane, not editor✅ Full IDE❌
**Full autonomy**✅ Agents plan, assign, work, and review✅ Coordinator, grouped work, recovery✅ Wake-up runs + governance⚠️ Background agents, not teams✅ Experimental CLI teams
**Task dependencies**✅ Tasks wait for blockers automatically✅ Dependency waves✅ Blockers + execution locks❌✅ Team task deps, no UI
**Review workflow**✅ Agents review each other + human review UI⚠️ Merge queue✅ Approvals + governance⚠️ PR/BugBot only✅ Team review, no UI
**Zero setup**✅ Guided runtime setup❌ Manual CLI stack⚠️ npx + local database✅⚠️ CLI + env flag
**Kanban board**✅ 5 columns, real-time❌ Dashboard, not Kanban✅ 7 columns, drag-and-drop❌❌
**Execution logs**✅ Tool calls, reasoning, timeline⚠️ Feed, metrics, dashboard✅ Run transcripts + audit log⚠️ Agent chat + terminal❌
**Live processes**✅ View, stop, open URLs in browser⚠️ Agent health dashboard⚠️ Manual services + previews⚠️ Native terminal only❌
**CPU/RAM per teammate**✅ See CPU/RAM history for each live teammate⚠️ Shows activity/health, not CPU/RAM⚠️ Shows run status/cost, not CPU/RAM❌ Remote agent/terminal only❌
**Per-task code review**✅ Accept / reject / comment⚠️ Merge queue, no diff UI⚠️ PR/work products, no inline diff✅ BugBot on PRs❌
**Flexible autonomy**✅ Per-action approvals + notifications✅ Gates, escalation, recovery✅ Board approvals, pause, terminate⚠️ Background agents auto-run commands✅ Permissions + hooks
**Git worktree isolation**✅ Optional✅ Core primitive✅ Worktrees / branches⚠️ Background branches/VMs⚠️ Manual worktrees
**Mixed AI teammates**✅ Claude, Codex, and OpenCode in one team✅ Many providers, terminal-first✅ Bring your own agents/runtimes⚠️ Multi-model agents, no shared team⚠️ Claude-only experimental teams
**Live team map**✅ Map of teammates, tasks, blockers, handoffs, activity, logs⚠️ Agent tree + feed panels⚠️ Org chart/status, not a task/log map❌❌
**Live teammates**✅ Watch teammates work and message them directly⚠️ Terminal-based agent sessions⚠️ Agents wake up for runs, then sleep⚠️ Background agents per task⚠️ CLI teams, no desktop view
**Team workspace**✅ Tasks, logs, Kanban, review, and teammates in one app⚠️ Mail/feed/dashboard across tools⚠️ Board + transcripts, less live teammate view⚠️ IDE chats/tasks, not team view❌ No desktop UI
**Teammate launch status**✅ Know who started, who is stuck, and who replied⚠️ Session health, less clear message status⚠️ Run status, not live teammate status❌⚠️ CLI mailbox, no visual status
**Org chart / governance**⚠️ Roles + approvals, no org chart⚠️ Roles + escalation✅ Org chart + board governance⚠️ Team admin only❌
**Budget controls**⚠️ Cost/token visibility, no hard caps⚠️ Cost tiers + digest, no hard caps✅ Per-agent budgets + hard stops⚠️ Usage + BG spend limits⚠️ /usage + workspace limits
**Price****Free OSS UI + free model with no auth**, paid providers optionalFree OSS, runtime plans neededFree OSS, self-hosted + infraFree + paid usageClaude plan or API usage

Fact sources checked on May 18, 2026: detailed research notes, Gastown README, Gastown provider guide, Gastown scheduler, Gastown dashboard source, Gastown release, Paperclip README, Paperclip adapters, Paperclip heartbeat protocol, Paperclip org chart, Paperclip OrgChart source, Paperclip budgets, Paperclip runtime services, Paperclip Kanban source, Paperclip work products, Paperclip release, Cursor Background Agents, Cursor Diffs & Review, Cursor Bugbot, Cursor pricing, Claude Code agent teams, Claude Code subagents, Claude Code workflows, Claude Code costs, Claude pricing.

---

FAQ

<details> <summary><strong>Do I need to install a runtime before using this app?</strong></summary> <br /> No. You can start with the free model with no auth right away. If you want Claude, Codex, OpenCode/OpenRouter, or other provider-backed models, the app guides runtime detection/setup and provider authentication from the UI. </details>

<details> <summary><strong>Does it read or upload my code?</strong></summary> <br /> The app is not a cloud code-sync service. It reads local runtime/session data to power the UI, and your project stays on your machine unless you choose a provider/runtime path that sends data to that provider. In multimodel mode, startup may also perform runtime access and capability checks before launch. </details>

<details> <summary><strong>Can agents communicate with each other?</strong></summary> <br /> Yes. Agents send direct messages, create shared tasks, and leave comments - all coordinated by the app's own orchestration layer. </details>

<details> <summary><strong>Is it free?</strong></summary> <br /> Yes. The app is free and open source, and you can start with a free model with no auth - no registration, API keys, or credit card. If you want more models, connect the provider access you already have, such as Claude, Codex, OpenCode/OpenRouter, or other supported runtimes. </details>

<details> <summary><strong>Can I review code changes before they're applied?</strong></summary> <br /> Yes. Every task shows a full diff view where you can accept, reject, or comment on individual code hunks — similar to Cursor's review flow. </details>

<details> <summary><strong>What happens if an agent gets stuck?</strong></summary> <br /> Send a direct message to course-correct, or stop and restart from the process dashboard. If an agent needs your input, you'll get a notification and the task will show a distinct badge on the board. </details>

<details> <summary><strong>Does it support multiple projects and teams?</strong></summary> <br /> Yes. Run multiple teams in one project or across different projects, even simultaneously. To avoid Git conflicts, ask agents to use git worktree in your provisioning prompt. </details>

---

⚡ 核心功能
  • 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
  • 提供结构化工具调用接口，显著降低 AI 集成复杂度
  • 支持 Claude Desktop 和 Claude Code 无缝接入，开箱即用
  • 可与其他 MCP 工具组合叠加，构建完整 AI 工作站
  • 轻量无侵入设计，不影响现有系统架构
👥 适合人群
Claude Desktop / Claude Code 用户AI 工具开发者需要扩展 AI 能力的专业人士自动化工程师
🎯 使用场景
  • 在 Claude Desktop 对话中直接调用本地工具，实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务，代替繁琐手动操作
  • 将多个 MCP 工具组合使用，构建个人专属 AI 工作站
⚖️ 优点与不足
✅ 优点
  • +标准化 MCP 协议，生态互联性强
  • +与 Claude 官方生态无缝对接
  • +即插即用，配置简单快捷
⚠️ 不足
  • −依赖 Claude 客户端，非 Claude 用户无法使用
  • −MCP 协议仍在持续演进，接口可能变更
  • −需要一定的配置步骤
⚠️ 使用须知

该工具使用 AGPL-3.0 协议，商用场景请仔细阅读协议条款，必要时咨询法律意见。

AI Skill Hub 为第三方内容聚合平台，本页面信息基于公开数据整理，不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后，再部署至生产环境，并做好必要的安全评估。

📄 License 说明

⚠️ AGPL 3.0 — 最严格的 Copyleft，网络服务端使用也需开源，SaaS 使用受限。

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❓ 常见问题 FAQ
MCP（Model Context Protocol）是 Anthropic 推出的开放协议，专门用于 AI 助手（如 Claude）调用外部工具。与普通 API 不同，MCP 提供标准化的工具描述格式，AI 可以自动理解工具功能并决定何时调用，无需人工编写大量适配代码。
💡 AI Skill Hub 点评

总体来看，agent-teams-ai 是一款质量良好的MCP工具，在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态，建议收藏备用，结合自身场景选择合适时机引入使用。

⬇️ 获取与下载
⬇ 下载源码（GPL）
⚠️ 本工具使用 AGPL-3.0 协议。您可以自由下载和使用，但衍生作品必须以相同协议开源，不可商业闭源。使用前请确认符合协议要求。
📚 深入学习 agent-teams-ai
查看分步骤安装教程和完整使用指南，快速上手这款工具
⚙️ 安装教程 📚 使用教程
🌐 原始信息
原始名称 agent-teams-ai
原始描述 开源MCP工具：You're the CTO, agents are your team. They handle tasks on their own, message ea。⭐966 · TypeScript
Topics mcpagent-teamsaiai-agentsai-assistantai-toolstypescript
GitHub https://github.com/777genius/agent-teams-ai
License AGPL-3.0
语言 TypeScript
🔗 原始来源
🐙 GitHub 仓库  https://github.com/777genius/agent-teams-ai 🌐 官方网站  https://777genius.github.io/agent-teams-ai/

收录时间：2026-05-22 · 更新时间：2026-05-22 · License：AGPL-3.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。