Eigent

Name: Eigent
Availability: OnlineOnly
Author: Eigent AI

An open-source multi-agent desktop application that builds, manages, and deploys a custom AI workforce to automate complex workflows with parallel execution and MCP integration.

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At a Glance

Pricing

Open Source

Free tier available

Free to use, modify, and distribute under the Apache License 2.0. Self-hosted local deployment with full feature access.

Enterprise: Custom/contact

Engagement

Available On

Windows

macOS

Linux

Web

API

Eigent AILondon, United KingdomEst. 2023

Listed May 2026

About Eigent

Eigent is an open-source "Cowork" desktop application that empowers users to build, manage, and deploy a custom AI workforce capable of turning complex workflows into automated tasks. Built on CAMEL-AI's multi-agent framework, it introduces a Multi-Agent Workforce that boosts productivity through parallel execution, customization, and privacy protection. It supports local deployment with zero external dependencies, as well as a cloud-connected mode and an enterprise tier for organizations.

Multi-Agent Workforce — Dynamically breaks down tasks and activates multiple specialized agents (Developer, Browser, Document, Multi-Modal) to work in parallel.
MCP Tools Integration — Comes with built-in Model Context Protocol (MCP) tools for web browsing, code execution, Notion, Google Suite, Slack, and more; also supports custom tool installation.
Local Deployment — Run fully standalone with complete control over your data; integrates with local model backends like vLLM, Ollama, and LM Studio with zero cloud dependencies.
Comprehensive Model Support — Deploy with your preferred AI models locally or connect to cloud-hosted models for instant access.
Human-in-the-Loop — Automatically requests human input when a task gets stuck or encounters uncertainty, keeping users in control.
100% Open Source — Licensed under Apache 2.0; every feature and commit is transparent and community-driven.
Enterprise Features — Supports SSO, access control, scalable deployment, and negotiated SLAs for organizations requiring maximum security and customization.
Zero Setup — No technical configuration required for the cloud-connected quick start; clone the repo, run npm install and npm run dev to get started.
Context Engineering Roadmap — Upcoming features include prompt caching, system prompt optimization, and context compression.
Tech Stack — Frontend built with React, Electron, and TypeScript; backend powered by FastAPI, CAMEL multi-agent framework, and OAuth 2.0 authentication.

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Pricing

OPEN SOURCE

Open Source

Free to use, modify, and distribute under the Apache License 2.0. Self-hosted local deployment with full feature access.

Multi-agent workforce
Local deployment
Custom model support
MCP tools integration
Human-in-the-loop

Enterprise

For organizations requiring maximum security, customization, and control. Contact sales for pricing.

Custom

contact sales

SSO and access control
Scalable enterprise deployment
Negotiated SLAs
Implementation services
Custom development
Priority support

View official pricing

Capabilities

Key Features

Multi-agent workforce with parallel execution
Local deployment with full data control
MCP tools integration (Notion, Google Suite, Slack, etc.)
Custom model support (vLLM, Ollama, LM Studio)
Human-in-the-loop task management
Developer, Browser, Document, and Multi-Modal agents
SSO and access control (Enterprise)
100% open source under Apache 2.0
Cloud-connected quick start mode
Custom tool and API integration

Integrations

Slack

Notion

Google Suite

vLLM

Ollama

LM Studio

CAMEL-AI

OAuth 2.0

API Available

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About Eigent

Multi-Agent Workforce — Dynamically breaks down tasks and activates multiple specialized agents (Developer, Browser, Document, Multi-Modal) to work in parallel.
MCP Tools Integration — Comes with built-in Model Context Protocol (MCP) tools for web browsing, code execution, Notion, Google Suite, Slack, and more; also supports custom tool installation.
Local Deployment — Run fully standalone with complete control over your data; integrates with local model backends like vLLM, Ollama, and LM Studio with zero cloud dependencies.
Comprehensive Model Support — Deploy with your preferred AI models locally or connect to cloud-hosted models for instant access.
Human-in-the-Loop — Automatically requests human input when a task gets stuck or encounters uncertainty, keeping users in control.
100% Open Source — Licensed under Apache 2.0; every feature and commit is transparent and community-driven.
Enterprise Features — Supports SSO, access control, scalable deployment, and negotiated SLAs for organizations requiring maximum security and customization.
Zero Setup — No technical configuration required for the cloud-connected quick start; clone the repo, run npm install and npm run dev to get started.
Context Engineering Roadmap — Upcoming features include prompt caching, system prompt optimization, and context compression.
Tech Stack — Frontend built with React, Electron, and TypeScript; backend powered by FastAPI, CAMEL multi-agent framework, and OAuth 2.0 authentication.

Eigent