AgentGUI多智能体工作流 是 AI Skill Hub 本期精选AI工具之一。综合评分 6.5 分,整体质量稳定。我们推荐使用将其纳入你的 AI 工具库,帮助提升工作效率。
AgentGUI多智能体工作流 是一款基于 JavaScript 开发的开源工具,专注于 多智能体、工作流、AI编码 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
AgentGUI多智能体工作流 是一款基于 JavaScript 开发的开源工具,专注于 多智能体、工作流、AI编码 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 方式一:npm 全局安装 npm install -g agentgui # 方式二:npx 直接运行(无需安装) npx agentgui --help # 方式三:项目依赖安装 npm install agentgui # 方式四:从源码运行 git clone https://github.com/AnEntrypoint/agentgui cd agentgui npm install npm start
# 命令行使用
agentgui --help
# 基本用法
agentgui [options] <input>
# Node.js 代码中使用
const agentgui = require('agentgui');
const result = await agentgui.run(options);
console.log(result);
# agentgui 配置说明 # 查看配置选项 agentgui --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export AGENTGUI_CONFIG="/path/to/config.yml"
Multi-agent GUI client for AI coding agents with real-time streaming, WebSocket sync, and SQLite persistence.
git clone https://github.com/AnEntrypoint/agentgui.git
cd agentgui
npm install
npm run dev
Server starts on http://localhost:3000/gm/
Multi-Agent Comparison: Run the same task through different agents to compare approaches, quality, and speed.
Long-Running Projects: Build complex features across multiple sessions without losing context or conversation history.
Team Collaboration: Share conversation URLs and working directories for pair programming with AI agents.
Agent Development: Test and debug custom agents with full visibility into streaming events and tool calls.
Offline Speech: Use local speech-to-text and text-to-speech without API costs or internet dependency.
| Light Mode | Dark Mode |
|---|---|
|  |  |
| Active Conversation (light) | Active Conversation (dark) |
|---|---|
|  |  |
| Tools Manager |
|---|
|  |
Screenshots are regenerated on every push tomainby.github/workflows/gh-pages.ymlusing the committed fixture DB (fixtures/data.db) so the gallery stays in sync with the UI.
PORT - Server port (default: 3000)BASE_URL - URL prefix (default: /gm)STARTUP_CWD - Working directory passed to agentsHOT_RELOAD - Enable watch mode (default: true)DEBUG - Enable internal state inspection endpoints (set to 1)All routes prefixed with /gm:
Conversations: - GET /api/conversations - List conversations - POST /api/conversations - Create conversation - GET /api/conversations/:id - Get conversation with streaming status - POST /api/conversations/:id/messages - Send message - DELETE /api/conversations/:id - Delete conversation
Agents & Tools: - GET /api/agents - List discovered agents - GET /api/tools - List detected tools with installation status - POST /api/tools/:id/install - Install tool - POST /api/tools/:id/update - Update tool
Speech: - POST /api/stt - Speech-to-text (raw audio input) - POST /api/tts - Text-to-speech (returns audio) - GET /api/speech-status - Check model download progress
WebSocket: /gm/sync - Subscribe to conversation/session updates with events like streaming_start, streaming_progress, streaming_complete
When DEBUG=1 is set, internal state inspection endpoints become available:
Endpoints: - GET /api/debug/machines - Inspect all XState v5 machine snapshots (execution, acp-server, tool-install states) - GET /api/debug/state - Full server state dump (connections, queues, active sessions) - GET /api/debug/ws-stats - WebSocket connection metrics and lag distribution
Browser Console (window.__debug): - window.__debug.machines - All XState machines (conv, toolInstall, voice, convList, prompt, recording, terminal, ws) - window.__debug.ws - WebSocket state, latency EMA, latency trend, URL - window.__debug.auth - Agent auth and OAuth state - window.__debug.perf - Conversation perf metrics - window.__debug.config - Base URL and server config - window.__debug.renderer - Streaming renderer event queue / history lengths - window.__debug.conv - Current conversation and streaming set - window.__debug.getState() - WS latency snapshot - window.__debug.getSyncState() - Flat snapshot of all machines (legacy shape) - window.__debug.getMessageState() - Message/queue DOM counts
See CLAUDE.md for complete XState v5 machine documentation and internal architecture details.
创新的多智能体工作流可视化方案,整合多个AI模型能力。但项目成熟度有限,社区活跃度需提升。
该工具未明确声明开源协议,商业使用前请联系原作者确认授权范围,避免侵权风险。
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。
经综合评估,AgentGUI多智能体工作流 在AI工具赛道中表现稳健,质量良好。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | agentgui |
| 原始描述 | 开源AI工作流:Multi-agent GUI for AI coding assistants — Claude Code, Gemini CLI, OpenCode & m。⭐14 · JavaScript |
| Topics | 多智能体工作流AI编码可视化开源 |
| GitHub | https://github.com/AnEntrypoint/agentgui |
| 语言 | JavaScript |
收录时间:2026-06-05 · 更新时间:2026-06-11 · License:未公布 · AI Skill Hub 不对第三方内容的准确性作法律背书。