AI Skill Hub 推荐使用:gemini-flow MCP工具 是一款优质的Agent工作流。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Agent工作流解决方案,这是一个值得深入了解的选择。
基于Gemini CLI的开源MCP工具,将Claude-Flow翻译并转化为Gemini自动化工作流框架。支持自主代理、代码辅助和AI自动化,适合开发者构建智能工作流和自动化任务系统。
gemini-flow MCP工具 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
基于Gemini CLI的开源MCP工具,将Claude-Flow翻译并转化为Gemini自动化工作流框架。支持自主代理、代码辅助和AI自动化,适合开发者构建智能工作流和自动化任务系统。
gemini-flow MCP工具 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一:npm 全局安装 npm install -g gemini-flow # 方式二:npx 直接运行(无需安装) npx gemini-flow --help # 方式三:项目依赖安装 npm install gemini-flow # 方式四:从源码运行 git clone https://github.com/clduab11/gemini-flow cd gemini-flow npm install npm start
# 命令行使用
gemini-flow --help
# 基本用法
gemini-flow [options] <input>
# Node.js 代码中使用
const gemini_flow = require('gemini-flow');
const result = await gemini_flow.run(options);
console.log(result);
# gemini-flow 配置说明 # 查看配置选项 gemini-flow --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 GEMINI_FLOW_CONFIG="/path/to/config.yml"
The extension packages gemini-flow's complete AI orchestration platform:
✅ Official Gemini CLI Integration - Works with official Gemini CLI ✅ 9 Pre-configured MCP Servers - Ready to use out of the box ✅ 7 Custom Commands - Full gemini-flow functionality ✅ Auto-loading Context - Automatic GEMINI.md integration ✅ Lifecycle Hooks - Proper onInstall, onEnable, onDisable, onUpdate, onUninstall handling ✅ GitHub Installation - Easy one-command installation
For more details, see extensions/gemini-cli/README.md and GEMINI.md.
```bash
Node.js >= 18.0.0 npm >= 8.0.0 Google Cloud Project with API access Redis (for distributed coordination)
npm install --production
gemini-flow agents spawn --count 50 --specialization "enterprise-ready"
gemini-flow veo3 create \ --prompt "Corporate training video: workplace safety procedures" \ --style "professional-documentary" \ --duration "120s" \ --quality "4K" \ --fps 60 \ --aspect-ratio "16:9" \ --audio-sync true ```
Production Metrics: - 🎯 Video Quality: 89% realism score (industry-leading) - ⚡ Processing Speed: 4K video in 3.2 minutes average - 📊 Daily Capacity: 2.3TB video content processed - 💰 Cost Efficiency: 67% lower than traditional video production
gemini-flow hive-mind spawn \ --objective "enterprise digital transformation" \ --agents "architect,coder,analyst,strategist" \ --protocols a2a,mcp \ --topology hierarchical \ --consensus byzantine
```bash
npm install -g @clduab11/gemini-flow
```bash
git clone https://github.com/clduab11/gemini-flow.git cd gemini-flow
cp .env.example .env
npm run build
Issue: Google API authentication failures ```bash
gcloud auth application-default login export GOOGLE_APPLICATION_CREDENTIALS="path/to/service-account.json"
```bash
gemini extensions install https://github.com/clduab11/gemini-flow
cd /path/to/gemini-flow gemini extensions install .
gemini extensions list
gemini extensions uninstall gemini-flow ```
</div>
gemini-flow auth setup --provider google --credentials path/to/service-account.json
// .gemini-flow/production.config.ts
export default {
protocols: {
a2a: {
enabled: true,
messageTimeout: 5000,
retryAttempts: 3,
encryption: 'AES-256-GCM',
healthChecks: true
},
mcp: {
enabled: true,
contextSyncInterval: 100,
modelCoordination: 'intelligent',
fallbackStrategy: 'round-robin'
}
},
swarm: {
maxAgents: 66,
topology: 'hierarchical',
consensus: 'byzantine-fault-tolerant',
coordinationProtocol: 'a2a'
},
performance: {
sqliteOps: 396610,
routingLatency: 75,
a2aLatency: 25,
parallelTasks: 10000
},
monitoring: {
enabled: true,
metricsEndpoint: 'https://monitoring.your-domain.com',
alerting: 'comprehensive',
dashboards: ['performance', 'agents', 'costs']
},
google: {
projectId: process.env.GOOGLE_CLOUD_PROJECT,
credentials: process.env.GOOGLE_APPLICATION_CREDENTIALS,
services: {
veo3: { enabled: true, quota: 'enterprise' },
imagen4: { enabled: true, quota: 'enterprise' },
chirp: { enabled: true, quota: 'enterprise' },
lyria: { enabled: true, quota: 'enterprise' },
'co-scientist': { enabled: true, quota: 'enterprise' },
mariner: { enabled: true, quota: 'enterprise' },
agentspace: { enabled: true, quota: 'enterprise' },
streaming: { enabled: true, quota: 'enterprise' }
}
}
}
agents: maxConcurrent: 50 # Reduce from default 100 memoryLimit: "256MB" # Set per-agent limit pooling: enabled: true maxIdle: 10
**Issue: Agent coordination latency**javascript // Solution: Optimize network settings { "network": { "timeout": 5000, "retryAttempts": 3, "keepAlive": true, "compression": true, "batchRequests": true } } ```
gemini extensions install https://github.com/clduab11/gemini-flow # Install as Gemini extension gemini extensions enable gemini-flow # Enable the extension gemini hive-mind spawn "Build AI application" # Use commands in Gemini CLI ```
🚀 Modern Protocol Support: Native A2A and MCP integration for seamless inter-agent communication and model coordination ⚡ Enterprise Performance: 396,610 ops/sec with <75ms routing latency 🛡️ Production Ready: Byzantine fault tolerance and automatic failover 🔧 Google AI Native: Complete integration with all 8 Google AI services 🔌 Gemini CLI Extension: Official October 8, 2025 extension framework support
Transform your applications with seamless access to Google's most advanced AI capabilities through a single, unified interface. Our platform orchestrates all Google AI services with intelligent routing, automatic failover, and cost optimization.
// One API to rule them all - Access all 8 Google AI services
import { GoogleAIOrchestrator } from '@clduab11/gemini-flow';
const orchestrator = new GoogleAIOrchestrator({
services: ['veo3', 'imagen4', 'lyria', 'chirp', 'co-scientist', 'mariner', 'agentspace', 'streaming'],
optimization: 'cost-performance',
protocols: ['a2a', 'mcp']
});
// Multi-modal content creation workflow
const creativeWorkflow = await orchestrator.createWorkflow({
// Generate video with Veo3
video: {
service: 'veo3',
prompt: 'Product demonstration video',
duration: '60s',
quality: '4K'
},
// Create thumbnail with Imagen4
thumbnail: {
service: 'imagen4',
prompt: 'Professional product thumbnail',
style: 'corporate',
dimensions: '1920x1080'
},
// Compose background music with Lyria
music: {
service: 'lyria',
genre: 'corporate-upbeat',
duration: '60s',
mood: 'professional-energetic'
},
// Generate voiceover with Chirp
voiceover: {
service: 'chirp',
text: 'Welcome to our revolutionary product',
voice: 'professional-female',
language: 'en-US'
}
});
gemini-flow is now available as an official Gemini CLI extension, providing seamless integration with the Gemini CLI Extensions framework introduced on October 8, 2025.
Quantum-Enhanced Autonomous Coding with 96-Agent Swarm Intelligence
Gemini-Flow integrates Google's Jules Tools to create the industry's first quantum-classical hybrid autonomous development platform, combining asynchronous cloud VM execution with our specialized agent swarm and Byzantine consensus validation.
```bash
| Service | Latency | Success Rate | Daily Throughput | Cost Optimization |
|---|---|---|---|---|
| **Veo3 Video Generation** | 3.2min avg (4K) | 96% satisfaction | 2.3TB video content | 67% vs traditional |
| **Imagen4 Image Creation** | <8s high-res | 94% quality score | 12.7M images | 78% vs graphic design |
| **Lyria Music Composition** | <45s complete track | 92% musician approval | 156K compositions | N/A (new category) |
| **Chirp Speech Synthesis** | <200ms real-time | 96% naturalness | 3.2M audio hours | 52% vs voice actors |
| **Co-Scientist Research** | 840 papers/hour | 94% validation success | 73% time reduction | 89% vs manual research |
| **Project Mariner Automation** | <30s data extraction | 98.4% task completion | 250K daily operations | 84% vs manual tasks |
| **AgentSpace Coordination** | <15ms agent comm | 97.2% task success | 10K+ concurrent agents | 340% productivity gain |
| **Multi-modal Streaming** | <45ms end-to-end | 98.7% accuracy | 15M ops/sec sustained | 52% vs traditional |
gemini extensions enable gemini-flow ```
Note: Always use the full GitHub URL format (https://github.com/username/repo). The shorthand syntaxgithub:username/repois not supported by Gemini CLI and will result in "Install source not found" errors.
```bash
gemini extensions enable gemini-flow gemini extensions disable gemini-flow
gemini extensions update gemini-flow
gemini extensions info gemini-flow
gemini-flow also includes its own extension management commands:
```bash
gemini-flow gem-extensions install https://github.com/user/extension gemini-flow gem-extensions list gemini-flow gem-extensions enable extension-name gemini-flow gem-extensions info extension-name ```
The extension is defined in gemini-extension.json at the repository root:
{
"name": "gemini-flow",
"version": "1.3.3",
"description": "AI orchestration platform with 9 MCP servers",
"entryPoint": "extensions/gemini-cli/extension-loader.js",
"mcpServers": { ... },
"customCommands": { ... },
"contextFiles": ["GEMINI.md", "gemini-flow.md"]
}
gemini-flow 是一个完整的 AI 编排平台,旨在通过高度协同的 Agent 集群实现复杂的自动化任务。它集成了多种 AI 能力,能够通过 A2A 协议实现不同角色 Agent 之间的知识共享与决策一致性,为开发者提供从架构设计到代码实现的全流程智能化支持。
本项目提供多维度的 Agent 角色矩阵,涵盖 System Architects、Master Coders、Research Scientists、Data Analysts 及 Strategic Planners。通过 A2A 协议与 MCP 协调机制,Agent 能够实现跨语言的代码编写、TB 级数据处理及复杂的战略规划。此外,平台内置了 9 个 MCP Servers(如 Redis, GitHub, Supabase 等)及 7 个自定义命令,支持自动加载项目上下文,构建强大的 Swarm Intelligence。
在开始使用前,请确保您的系统环境满足以下要求:Node.js 版本需 >= 18.0.0,npm 版本需 >= 8.0.0。此外,您需要拥有一个具备 API 访问权限的 Google Cloud Project,并部署 Redis 用于实现分布式协调。安装依赖时,请使用 `npm install --production` 命令进行生产环境构建。
您可以根据业务规模灵活部署智能 Agent Swarms。通过 `gemini-flow agents spawn` 命令即可快速启动具备特定专业能力的 Agent 集群。对于企业级视频生成需求,支持调用 Veo3 能力进行 4K 高质量视频创作。此外,您还可以利用 `hive-mind` 命令,通过指定 A2A 和 MCP 协议及层级拓扑结构,部署高度协同的 Agent 团队来应对复杂的企业数字化转型任务。
项目通过 `gemini-flow auth setup` 进行 Google 服务身份验证。生产环境的详细配置需在 `.gemini-flow/production.config.ts` 中进行管理,您可以精确控制 A2A 协议的加密方式(如 AES-256-GCM)、消息超时、重试机制以及 MCP 的上下文同步间隔。同时,通过编辑 `.env` 文件,可以实现对生产环境参数的灵活定制。
gemini-flow 现已推出官方 Gemini CLI Extension,支持通过 `gemini extensions` 命令进行安装与启用。平台提供统一的 API 访问入口,能够无缝调度 Google AI 旗下的 8 项核心服务。通过智能路由、自动故障转移(Failover)及成本优化技术,开发者只需通过单一接口即可调用最先进的 AI 能力,实现从文本到 4K 视频生成的全方位集成。
gemini-flow 深度集成了 Google AI Services 生态系统,并引入了 Jules Tools 实现量子增强的自主开发模式。通过 96 个 Agent 组成的 Swarm Intelligence,平台结合了异步云端 VM 执行与 Byzantine 共识算法,构建了行业领先的量子-经典混合自主开发平台。在性能表现上,Veo3 与 Imagen4 等服务均经过高度优化,在保证高成功率的同时,实现了显著的成本优化与吞吐量提升。
针对生产环境可能遇到的问题,我们提供了完善的故障排除指南。无论是 Agent 集群的共识机制问题,还是 MCP 服务连接异常,您都可以通过查阅 FAQ 快速定位并解决生产运行中的各类技术挑战。
活跃的开源项目,成功移植Claude-Flow到Gemini生态。TypeScript实现保证代码质量,MCP架构具有良好的扩展性。Stars数量和更新频率显示社区关注度不错。
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。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
总体来看,gemini-flow MCP工具 是一款质量良好的Agent工作流,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。
| 原始名称 | gemini-flow |
| 原始描述 | 开源MCP工具:rUv's Claude-Flow, translated to the new Gemini CLI; transforming it into an aut。⭐383 · TypeScript |
| Topics | MCPAI自动化工作流自主代理代码辅助 |
| GitHub | https://github.com/clduab11/gemini-flow |
| License | MIT |
| 语言 | TypeScript |
收录时间:2026-05-14 · 更新时间:2026-05-16 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端