[opensourcedex]

Eigent is a free, open source ai interaction & interfaces project written in TypeScript and released under Apache-2.0. It has 15,714 GitHub stars, 1,885 forks and 227 open issues, and was last pushed 35 hours ago. On this registry it ranks #39 of 156 tracked projects in AI Interaction & Interfaces, with 5 head-to-head comparisons available. It gained 263 stars over the last 30 tracked days.

Eigent — Desktop multi-agent workforce for automating real tasks

What is Eigent?

What it is

Eigent is open source Cowork desktop application. It sits in AI & Machine Learning / AI Interaction & Interfaces ecosystem. User builds, manages, deploys custom AI workforce. Workforce turns complex workflows into automated tasks. Directory lists homepage https://www.eigent.ai, language TypeScript, license Apache-2.0, stars 15273, forks 1824. Project builds on CAMEL-AI open-source project.

Eigent addresses manual multi-step work across browser, terminal, model services. GitHub description lists local and free alternative to Claude Cowork and Codex. README describes Multi-Agent Workforce for parallel execution, customization, privacy protection. Topics include agent-framework, agent-skills, agentic-ai, agentic-workflow, desktop-agent, multi-agent-systems. Feature list includes local deployment, zero setup, MCP integration, skill integration, model-agnostic operation, built-in browser and terminal toolkits, enterprise features. README includes sections for Cowork with Single Agent, Cowork with Workforce, Automation, Local & Secure, Model Agnostic.

Key capabilities

  • Multi-Agent Coordination handles complex multi-agent workflows.
  • Single-Agent Harness runs focused tasks with one meta agent.
  • Model Agnostic supports any model of user choice.
  • MCP Integration is listed as supported.
  • Skill Integration adds skills to agent workflows.
  • Built-in Browser & Terminal Toolkits give agents browser and terminal tools.
  • Enterprise Features include SSO, access control, custom enquiries.

Who uses it and how

  • Users run local deployment for full data control, complete isolation from cloud services, no cloud account.
  • Users run cloud-connected quick start for preview, connecting to Eigent cloud services and requiring account registration.
  • Users follow Cowork with Single Agent and Cowork with Workforce workflows.
  • Organizations evaluate Enterprise Features such as SSO, access control, custom enquiries.
  • Automation workflows are listed as use area, turning complex workflows into automated tasks.

Getting started

Typical cloud-connected start uses Node.js 18-22 and npm: clone https://github.com/eigent-ai/eigent.git, run npm install, then npm run dev; local deployment uses local backend server with full API and local model integration such as vLLM, Ollama, LM Studio.

When to use it — and when not to

Use Eigent when local, open-source Cowork desktop, model-agnostic agents, browser and terminal toolkits match needs; it is listed as local and free alternative to Claude Cowork and Codex. Avoid when user needs mature, low-maintenance hosted product; directory facts show repo age 0 years, 227 open issues, 0 contributors, last push 2026-09-14T19:01:42Z. Self-hosters must operate local backend server and model integrations; cloud quick start requires Eigent cloud account.

project readme (upstream, from github) — read inline

Eigent: The Open Source Cowork Desktop to Unlock Your Exceptional Productivity


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Eigent is the open source Cowork desktop application, empowering you to build, manage, and deploy a custom AI workforce that can turn your most complex workflows into automated tasks. As a leading open-source Cowork product, Eigent brings together the best of open-source collaboration and AI-powered automation.

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.

⭐ 100% Open Source - 🥇 Local Deployment - 🏆 MCP Integration

  • ✅ Zero Setup - No technical configuration required
  • ✅ Multi-Agent Coordination - Handle complex multi-agent workflows
  • ✅ Single-Agent Harness - Run focused tasks with one meta agent
  • ✅ Local Deployment
  • ✅ Open Source
  • ✅ Model Agnostic - Support any model of your choice
  • ✅ MCP Integration
  • ✅ Skill Integration
  • ✅ Built-in Browser & Terminal Toolkits
  • ✅ Enterprise Features - SSO, access control, and custom enquiries

Table of contents
TOC

🚀 Getting Started with Open Source Cowork

🔓 Build in Public — Eigent is 100% open source from day one. Every feature, every commit, every decision is transparent. We believe the best AI tools should be built openly with the community, not behind closed doors.

🏠 Local Deployment (Recommended)

The recommended way to run Eigent — fully standalone with complete control over your data, no cloud account required.

👉 Full Local Deployment Guide

This setup includes:

  • Local backend server with full API
  • Local model integration (vLLM, Ollama, LM Studio, etc.)
  • Complete isolation from cloud services
  • Zero external dependencies

⚡ Quick Start (Cloud-Connected)

For a quick preview using our cloud backend — get started in seconds:

Prerequisites
  • Node.js (version 18-22) and npm
Steps
git clone https://github.com/eigent-ai/eigent.git
cd eigent
npm install
npm run dev

Note: This mode connects to Eigent cloud services and requires account registration. For a fully standalone experience, use Local Deployment instead.

Updating Dependencies

After pulling new code (git pull), update both frontend and backend dependencies:

# 1. Update frontend dependencies (in project root)
npm install

# 2. Update backend/Python dependencies (in backend directory)
cd backend
uv sync

🏢 Enterprise

For organizations requiring maximum security, customization, and control:

  • Exclusive Features (like SSO & custom development)
  • Scalable Enterprise Deployment
  • Negotiated SLAs & implementation services

📧 For further details, contact our sales team.

☁️ Cloud Version

For teams who prefer managed infrastructure, we also offer a cloud platform. The fastest way to experience Eigent's multi-agent AI capabilities 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.

image-public-beta

Get started at Eigent.ai →

✨ Key features - Open Source Cowork

🧑‍💻 Cowork with Single Agent

Start with one focused agent for direct tasks. Research, write, debug, and operate alongside it in your desktop workspace.

🏭 Cowork with Workforce

Scale to multiple specialized agents that divide work, collaborate in parallel, and execute complex multi-step workflows together.

⏰ Automation

Schedule recurring workflows and let agents run tasks at the right time—so work continues even when you step away.

🔒 Local & Secure

Run agents on your machine with local-first execution. Your files, credentials, and context stay under your control.

🧠 Model Agnostic

Connect the models you already use—cloud APIs, enterprise gateways, or local inference—without locking into one vendor.

👐 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 - Open Source Cowork

Explore how Eigent turns complex desktop work into repeatable agent workflows.

For Developers

Build 10 Chinese New Year HTML5 Games with Eigent

Coordinate parallel agents to build ten polished, mobile-friendly browser games across genres, complete with scoring, increasing difficulty, and restart flows.

View demo →

View guide →

Build a 3D Snow Bros Platformer with Gemini 3.1 Pro

Create a complete browser-based 3D platformer with snowball combat, enemy chains, scoring, lives, scaling difficulty, and layered environments.

View demo →

View guide →

Automate Monthly Dev Reports with DeepSeek via Ollama

Review a month of GitHub pull requests with a locally hosted model, generate a Word summary, and prepare the corresponding Slack release update.

View demo →

View guide →

Featured

Organize Desktop Files

Ask Eigent to inspect a cluttered desktop and organize files into a cleaner, more useful structure directly on your machine.

View demo →

View guide →

Audit ML CI Failures with Gemini 3.5 Flash on Eigent

Orchestrate a multi-agent CI investigation that fetches logs, compares golden values, traces evidence, delegates deep reasoning, and produces structured audit reports.

View demo →

View guide →

Ticket Management System Integration and Reporting

Import local ticket data into a browser-based management system, then generate a statistical report with charts and visual summaries.

View demo →

View guide →

Explore more use cases →

🛠️ Tech Stack

Eigent open-source Cowork desktop is built on modern, reliable technologies that ensure scalability, performance, and extensibility.

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 - Open Source Cowork

[!IMPORTANT]

Star Eigent, You will receive all release notifications from GitHub without any delay ~ ⭐️

🗺️ Roadmap - Open Source Cowork

Our open-source Cowork continues to evolve with input from the community. Here's what's coming next:

Topics Issues Discord Channel
Context Engineering - Prompt caching
- System prompt optimize
- Toolkit docstring optimize
- Context compression		 Join Discord →
Multi-modal Enhancement - More accurate image understanding when using browser
- Advanced video generation		 Join Discord →
Multi-agent system - Workforce support fixed workflow
- Workforce support multi-round conversion		 Join Discord →
Browser Toolkit - BrowseComp integration
- Benchmark improvement
- Forbid repeated page visiting
- Automatic cache button clicking		 Join Discord →
Document Toolkit - Support dynamic file editing Join Discord →
Terminal Toolkit - Benchmark improvement
- Terminal-Bench integration		 Join Discord →
Environment & RL - Environment design
- Data-generation
- RL framework integration (VERL, TRL, OpenRLHF)		 Join Discord →

🤝 Contributing

We believe in building trust and embracing all forms of open-source collaborations. Your creative contributions help drive the innovation of Eigent. Explore our GitHub issues and projects to dive in and show us what you’ve got 🤝❤️ Contribution Guideline

Contributors

Made with contrib.rocks.


❤️ Sponsor

Eigent is built on top of CAMEL-AI.org's research and infrastructures. Sponsoring CAMEL-AI.org will make Eigent better.

📄 Open Source License

This repository is licensed under the Apache License 2.0.

🌐 Community & Contact

For more information please contact info@eigent.ai

  • GitHub Issues: Report bugs, request features, and track development. Submit an issue

  • Discord: Get real-time support, chat with the community, and stay updated. Join us

  • X (Twitter): Follow for updates, AI insights, and key announcements. Follow us

  • WeChat Community: Scan the QR code below to add our WeChat assistant, and join our WeChat community group.

Frequently asked questions

Is Eigent free to use?

Eigent is open source under the Apache-2.0 licence. There is no licence fee and no seat count — you can self-host it or, where the project offers one, pay a vendor for a managed version instead.

What does Eigent do?

Desktop multi-agent workforce for automating real tasks

What is Eigent written in?

Eigent is primarily written in TypeScript. Its source is publicly available at https://github.com/eigent-ai/eigent, and it has 15,714 GitHub stars.