Eigent — Open Source Cowork Desktop for Multi-Agent Productivity
Eigent is an open-source desktop/web application designed to let individuals and teams build, manage, and deploy a multi-agent AI “workforce” that automates complex, multi-step workflows. Built in public and based on the CAMEL-AI multi-agent framework, Eigent focuses on parallel task execution, extensible tool integrations, privacy-first local deployment, and enterprise-ready access controls.
Core capabilities
- Multi-Agent Workforce: Eigent orchestrates a collection of specialized agents (Developer Agent, Browser Agent, Document Agent, Multi-Modal Agent, etc.) that can work in parallel to decompose and complete complex tasks.
- MCP (Model Context Protocol) Integration: Eigent ships with a broad set of built-in MCP tools (web browsing, code execution, Notion/Google/Slack connectors, etc.) and allows installation of custom tools to extend agent capabilities for domain-specific workflows.
- Local-first Deployment: Recommended local deployment mode runs a full backend and model integrations on-prem, supporting vLLM, Ollama, LM Studio and other local models to keep data private and reduce external dependencies.
- Cloud / Managed Options: For quick evaluation or team usage, Eigent also offers a cloud-connected quick start and a managed cloud service with premium support and scaling.
- Human-in-the-Loop: When agents hit uncertainty, Eigent can request human intervention to guide decisions or to approve critical steps.
- Enterprise Features: SSO, access control, customizable enterprise deployment, negotiated SLAs, and features tailored for corporate adoption.
Typical use cases
- Automating multi-step business processes (market research, report generation, data extraction and summarization).
- Developer workflows that require code generation, execution, and validation across agents.
- Multi-modal content processing (images, audio) with dedicated agents.
- Team collaboration tasks: prepare presentations, summarize meeting notes, and post outputs to communication channels (Slack, Notion, etc.).
Tech & architecture highlights
- Backend: FastAPI + Uvicorn; multi-agent orchestration built on CAMEL.
- Frontend / Desktop: React + TypeScript, packaged with Electron for a desktop experience; Tailwind CSS and Radix UI for component styling.
- Local model support: Designed to integrate with local model runtimes (vLLM, Ollama, LM Studio, etc.) and custom model providers.
- Tooling: MCP tooling system to attach external services and internal APIs as tools for agents.
- License & community: 100% open source under Apache 2.0; active community channels (GitHub issues, Discord, X/Twitter, Reddit) for contributions and support.
Getting started
- Quick preview: clone the GitHub repo and run the dev mode for a cloud-connected preview.
- Local deployment: follow the provided server/local deployment guide to run fully standalone with local models and no cloud dependencies.
- Enterprise: contact the team for SSO, deployment assistance, and enterprise SLAs.
Notable metadata
- GitHub stars (context snapshot): ~7.8k stars.
- Repo created on: 2025-07-29.
Eigent is aimed at users and teams who need an extensible, privacy-conscious platform to turn complex human workflows into coordinated AI-driven processes that can run autonomously or with human oversight.
