eigent README

The project's README from github.com/eigent-ai/eigent. As one markdown file: README.md.

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


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.

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:

⚡ Quick Start (Cloud-Connected)

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

Prerequisites

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:

📧 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.


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 →

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

Frontend

🌟 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 [email protected]

eigent (eigent-ai/eigent)

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15.6K ·GitHub
Eigent
What is this?Eigent is an open source desktop app for 'coworking' with AI agents - you build a custom AI workforce of multiple specialized agents that run in parallel to automate complex multi-step workflows on your machine.
Is this a chatbot, or something more like a team of agents?It is a desktop app built on the CAMEL-AI multi-agent framework. You can run a single meta agent for focused tasks, or scale up to a Workforce of multiple specialized agents that divide work and collaborate in parallel.
How do I get it running?The recommended path is local deployment via the full guide linked in the README, which installs a local backend server with local model integration (vLLM, Ollama, LM Studio, etc.). For a quick cloud-connected preview, you just need Node.js 18-22 and npm, then run the setup steps, though that mode requires registering a cloud account.
Do I need an API key or cloud account to use it?For local deployment, no cloud account is required since it connects to local models; for the quick-start cloud-connected mode, you do need to register a cloud account.
Any install pitfalls I should know about?After pulling new code you have to manually update both frontend and backend dependencies, and the project still has an active roadmap of fixes (e.g. browser toolkit cache handling, document editing support) suggesting some rough edges remain.
Does it keep my data local and private?Yes, the local deployment mode runs agents on your own machine with local-first execution, keeping files, credentials and context under your control.
Can I use any AI model with Eigent, or am I locked into one provider?Eigent is model agnostic - it can connect to cloud APIs, enterprise gateways, or local inference backends like vLLM, Ollama, or LM Studio without vendor lock-in.
What is it an alternative to?Eigent positions itself as a local and free open-source alternative to Claude Cowork and Codex-style coworking assistants.
What is CAMEL-AI and how does it relate to Eigent?CAMEL-AI is the open-source multi-agent research project that Eigent's Workforce system is built on top of.
Can agents schedule and run tasks automatically?Yes, Eigent supports automation by scheduling recurring workflows so agents can run tasks on their own even when you step away.
What are similar projects?mindshub, hive, rowboat, ruflo, sim, Agentlas-OS, invisible_dots, taskuary
Which topics is it in?claude-cowork, model-router, agentic-workflow, multi-agent-systems, fastapi, agent-framework, oauth, browser-automation, ollama, electron, agentic-ai, local-first
Creator
eigent-ai
Size
168.3 MB
Stars
15.6K
Updated
CommitOct 16Releasev1.0.6Oct 16
Age
1y
Commits · 90 Days