17 KiB
Eigent: The World's First Multi-agent Workforce to Unlock Your Exceptional Productivity
English · 简体中文 · Official Site · Documents · Feedback
Eigent is the world’s first Multi-agent Workforce desktop application, empowering you to build, manage, and deploy a custom AI workforce that can turn your most complex workflows into automated tasks.
Built on CAMEL-AI's acclaimed open-source project, our system introduces a Multi-Agent Workforce that boosts productivity through parallel execution, customization, and privacy protection.
⭐ 13k GitHub Stars - 🥇 #1 GitHub Daily Trending - 🏆 #1 on GAIA
- ✅ Zero Setup - No technical configuration required
- ✅ Multi-Agent Coordination - Handle complex multi-agent workflows
- ✅ Enterprise Feature - SSO/Access control
- ✅ Local Deployment
- ✅ Open Source
- ✅ Custom Model Support
- ✅ MCP Integration
Table of contents
TOC
- 🚀 Getting Started
- ✨ Key features
- 🧩 Use Cases
- 🛠️ Tech Stack
- 🌟 Staying ahead
- 🗺️ Roadmap
- 📖 Contributing
- Ecosystem
- 📄 Open Source License
- 🌐 Community & contact
🚀 Getting Started
There are three ways to get started with Eigent:
☁️ Cloud Version
The fastest way to experience Eigent's multi-agent AI capabilities is through our cloud platform, perfect for teams and individuals who want immediate access without setup complexity. We'll host the models, APIs, and cloud storage, ensuring Eigent runs flawlessly.
- Instant Access - Start building multi-agent workflows in minutes.
- Managed Infrastructure - We handle scaling, updates, and maintenance.
- Premium Support - Subscribe and get priority assistance from our engineering team.
🏠 Self-Hosting (Community Edition)
For users who prefer local control, data privacy, or customization, this option is ideal for organizations requiring:
- Data Privacy - Keep sensitive data within your infrastructure.
- Customization - Modify and extend the platform to fit your needs.
- Cost Control - Avoid recurring cloud fees for large-scale deployments.
1. Prerequisites
- Node.js and npm
- Python 3.10+ and uv
2. Quick Start
git clone https://github.com/eigent-ai/Eigent-desktop.git
cd Eigent-desktop
npm install
npm run dev
🏢 Enterprise
For organizations requiring maximum security, customization, and control:
- Commercial License - Check our license →
- Exclusive Features (like SSO & custom development)
- Scalable Enterprise Deployment
- Negotiated SLAs & implementation services
📧 For further details, please contact us at info@eigent.ai.
✨ Key features
Unlock the full potential of exceptional productivity with Eigent’s powerful features—built for seamless integration, smarter task execution, and boundless automation.
🏭 Workforce
Employs a team of specialized AI agents that collaborate to solve complex tasks. Eigent dynamically breaks down tasks and activates multiple agents to work in parallel.
Eigent pre-defined the following agent workers:
- Developer Agent: Writes and executes code, runs terminal commands.
- Search Agent: Searches the web and extracts content.
- Document Agent: Creates and manages documents.
- Multi-Modal Agent: Processes images and audio.
🧠 Comprehensive Model Support
Deploy Eigent locally with your preferred models.
🔌 MCP Tools Integration (MCP)
Eigent comes with massive built-in Model Context Protocol (MCP) tools (for web browsing, code execution, Notion, Google suite, Slack etc.), and also lets you install your own tools. Equip agents with exactly the right tools for your scenarios – even integrate internal APIs or custom functions – to enhance their capabilities.
✋ Human-in-the-Loop
If a task gets stuck or encounters uncertainty, Eigent will automatically request human input.
👐 100% Open Source
Eigent is completely open-sourced. You can download, inspect, and modify the code, ensuring transparency and fostering a community-driven ecosystem for multi-agent innovation.
🧩 Use Cases
1. CAMEL GitHub Newsletter Replay ▶️
Please review the latest updates from the CAMEL GitHub repository over the past month, craft a polished newsletter summarising the key changes, and email it to my client list.
Video
2. Palm Springs Tennis Trip Replay ▶️
I am a tennis fan and want to go see the tennis tournament in palm springs. I live in SF - please prepare a detailed itinerary with flights, hotels, things to do for 3 days - around the time semifinal/finals are happening. I like hiking, vegan food and spas. My budget is $3K. The itinerary should be a detailed timeline of time, activity, cost, other details and if applicable a link to buy tickets/make reservations etc. for the item.
3. AI Customer Form & Dashboard Replay ▶️
We are a tech consulting firm with in-depth research on technologies in the multi-agent general intelligence field. Please create a potential customer form for us. The target companies are: – B2B American companies – In the development stage before Series B – Require AI technology empowerment – And demonstrate a progressive attitude toward adopting modern productivity software (e.g., Slack, Google Workspace, Notion, etc.) Please list at least 15 companies, clearly stating their contact information, company business introductions, addresses and other specific details. Also, create a dashboard.
4. Website SEO Audit Report Replay ▶️
To support the launch of our new Workforce Multiagent product, please run a thorough SEO audit on our official website (https://www.camel-ai.org/) and deliver a detailed optimization report with actionable recommendations.
5. Q2 Financial Statement Prep Replay ▶️
Please help me prepare a Q2 financial statement based on this bank transfer record, to report to investors how much we have spent.
6. RL Engineer Candidate Summary with Notion MCP Replay ▶️
I am an HR professional looking to hire a Reinforcement Learning Algorithm Engineer. I prefer someone with relevant RL experience. Please help me organize candidate information from this notion page Applicant Tracker into a complete Excel summary table including basic information and concise summary of project experiences (focusing on key highlights and achievements). Please rank candidates based on their RL expertise and provide me with an Excel file that includes all this information in an organized format. I hope you can carefully read through each candidate's resume pdf attachments in the table in notion page Applicant Tracker one by one.
7. PDF to Conference Slides Replay ▶️
Convert this PDF into presentation slides suitable for an academic conference. The presentation should be approximately 15 minutes long and must include all key points.
8. OWL Webpage Creation with Figma MCP Replay ▶️
Please create a new webpage styled after (https://www.camel-ai.org/) to introduce OWL (https://github.com/camel-ai/owl). Start by generating a Figma-editable file and replace its content to showcase our product. Then, develop and deploy the webpage based on this design.
9. Blender 3D Modeling with Blender MCP Replay ▶️
Based on this image, help me model in Blender.
10. H1B1 Visa Application with local files Replay ▶️
I'm currently applying for a U.S. H1B1 visa. Please help me locate the necessary application documents on my computer, organize them into a single folder, and finally assist me in filling out the H1B1 visa application form.
🛠️ Tech Stack
Backend
- Framework: FastAPI
- Package Manager: uv
- Async Server: Uvicorn
- Authentication: OAuth 2.0, Passlib.
- Multi-agent framework: CAMEL
Frontend
- Framework: React
- Desktop App Framework: Electron
- Language: TypeScript
- UI: Tailwind CSS, Radix UI, Lucide React, Framer Motion
- State Management: Zustand
- Flow Editor: React Flow
🌟 Staying ahead
[!IMPORTANT]
Star Eigent, You will receive all release notifications from GitHub without any delay ~ ⭐️
🗺️ Roadmap
|
Context Engineering [Join our slack channel →: https://camel-ai.slack.com/archives/C097Q1QL98C]
Multi-modal Enhancement [Join our slack channel →: https://camel-ai.slack.com/archives/C097Q7RT0EQ]
Multi-agent system [Join our slack channel →: https://camel-ai.slack.com/archives/C098BJV0KR6]
|
Browser Toolkit [Join our slack channel →: https://camel-ai.slack.com/archives/C0977N3C87R]
Document Toolkit [Join our slack channel →: https://camel-ai.slack.com/archives/C0983CP7AHX]
Terminal Toolkit [Join our slack channel →: https://camel-ai.slack.com/archives/C097L9D7LDU]
Environment & RL [Join our slack channel →: https://camel-ai.slack.com/archives/C097Q91K1EG]
|
📖 Contributing
We welcome contributions! For those who’d like to contribute code, Please see our Contributing Guide for details.
Main Contributors
| Name | GitHub Profile |
|---|---|
| Wendong Fan | Wendong-Fan |
| Puzhen Zhang | nitpicker55555 |
| Wei Li | luoyou |
| Wei Sun | FooFindBar |
| Tao Sun | fengju0213 |
| Chuan He | weer0026 |
| Xiaotian Jin | MuggleJinx |
| Yifeng Wang | zjrwtx |
| Weijie Bai (product manager) | Pakchoioioi |
| Douglas Lai (product designer) | Douglasymlai |
At the same time, please consider supporting Eigent by sharing it on social media and at events and conferences. See our ambassador program. Join our Ambassador Program: Finding the Scaling Laws of Agents
Distinguished amabssador
| Name | GitHub Profile |
|---|---|
| Parth Sharma | parthshr370 |
| Jino Rohit | jino-rohit |
| Bipul Sharma | Bipul70701 |
| Tushar Singh | tushar80rt |
| Harshit Sharma | Harsh1tSh |
| Divyansh Goyal | divital-coder |
Ecosystem
📄 Open Source License
This repository is licensed under the Eigent Open Source License, based on Apache 2.0 with additional conditions.
🌐 Community & contact
- GitHub Discussion | Explreo More →
- GitHub Issues | Contribute →
- X (Twitter) | Follow Us →
- Discord | Seek Support →
- Wechat
