Eigent is a desktop application that enables users to build, manage, and deploy custom AI workforces for automating complex workflows. It targets individuals and enterprises seeking enhanced productivity through parallel AI agent execution, customization, and local deployment for data privacy.

How It Works

Eigent leverages a multi-agent architecture, inspired by CAMEL-AI, where specialized AI agents (Developer, Search, Document, Multi-Modal) collaborate to execute tasks. It breaks down complex workflows, assigns sub-tasks to appropriate agents, and facilitates parallel processing. The system supports integration with various tools via the Model Context Protocol (MCP), allowing agents to interact with web browsing, code execution, and other services, with a human-in-the-loop mechanism for handling uncertainty.

Quick Start & Requirements

• Self-Hosting (Community Edition):
  • Prerequisites: Node.js and npm.
  • Commands: git clone https://github.com/eigent-ai/eigent.git, cd eigent, npm install, npm run dev.
• Cloud Version: Available at Eigent.ai.
• Enterprise: Contact info@eigent.ai.

Highlighted Details

• Multi-Agent Workforce: Employs specialized AI agents that collaborate on complex tasks.
• Comprehensive Model Support: Allows local deployment with preferred AI models.
• MCP Tools Integration: Built-in tools for web browsing, code execution, Notion, Google Suite, Slack, and custom API integration.
• Human-in-the-Loop: Automatically requests human input for uncertain tasks.
• 100% Open Source: Downloadable, inspectable, and modifiable code.

Maintenance & Community

• Active community support via Discord and X (Twitter).
• Roadmap available, focusing on context engineering, multi-modal enhancements, and multi-agent system improvements.
• Contributions are encouraged via GitHub issues.

Licensing & Compatibility

• Licensed under the "Eigent Open Source License," based on Apache 2.0 with additional conditions.
• Specific restrictions or commercial use compatibility details are not explicitly detailed beyond the "Enterprise" offering.

Limitations & Caveats

The "Eigent Open Source License" based on Apache 2.0 with additional conditions may have implications for commercial use or derivative works that require careful review. Specific details on these additional conditions are not immediately apparent in the README.