Eigent – a multi-agent Workforce desktop application launched by CAMEL-AI

What is Eigent？

Eigent is the world’s first desktop-based multi-agent Workforce platform launched by the CAMEL-AI team. Built on the open-source projects CAMEL and OWL, Eigent enables users to customize their own dedicated AI teams to automate complex tasks. It features parallel execution by multiple agents, human-in-the-loop intervention, flexible integration of various tools, fully open-source code, and local deployment. Eigent transforms complex workflows into automated tasks to improve efficiency while ensuring data privacy and control.

Key Features of Eigent

• Parallel Multi-Agent Execution
  Multiple agents simultaneously handle different parts of a task, greatly improving execution speed compared to traditional single-agent serial processing.

• Customizable Agents (Workers)
  Users can create specialized agents tailored to specific needs, such as compliance agents or social media agents, to suit various scenarios.

• Human-in-the-Loop
  Agents automatically request human intervention when encountering uncertain situations, ensuring task accuracy, reliability, and alignment with user requirements.

• Flexible Tool Integration (MCP Integration)
  Supports over 200 built-in tools, with the ability for users to upload their own tools to enhance agent capabilities.

• 100% Open Source & Local Deployment
  Fully open-source, allowing users to freely use, inspect, and modify the code. Supports local deployment to guarantee data privacy and security.

• Dynamic Task Planning and Adjustment
  Dynamically splits, reallocates, or creates new agent nodes based on task complexity and agent status to optimize task completion.

Technical Principles of Eigent

• Multi-Agent System Architecture
  Eigent consists of multiple agents, each with specific skills and tools, collaborating to complete complex tasks.

• Task Manager Agent
  Responsible for task decomposition and assignment strategies.

• Coordinator Agent
  Manages division of labor and coordination among agents.

• Worker Nodes
  The executors that complete assigned sub-tasks.

• Parallel Processing
  Tasks are divided into subtasks that are processed concurrently by different agents, unlike traditional single-agent sequential execution.

• Dynamic Task Splitting and Replanning
  Tasks are dynamically split and replanned based on agent status and task progress. If an agent encounters an issue or a task fails, the system replans or even creates new agent nodes to complete the work.

Project Resources

• Official Website: https://www.eigent.ai/

• GitHub Repository: https://github.com/eigent-ai/eigent

How to Use Eigent

1. Visit the Eigent official website (https://www.eigent.ai/) and download the version corresponding to your operating system.

2. Register and log in to your account.

3. Click “Create New Task,” then enter the task name and description.

4. Choose a predefined agent or customize agents according to your task needs.

5. Configure task parameters by inputting keywords, uploading files, or specifying other settings.

6. Click “Start Task” to launch the task.

7. Monitor task progress in real time and intervene manually if necessary.

8. View detailed results upon task completion.

9. Save results locally or share them with others via the platform.

Application Scenarios of Eigent

• Travel Planning
  Quickly plans detailed travel itineraries based on user requirements, including flight bookings, hotel arrangements, activity recommendations, and budget control, making trip planning effortless.

• Market Research
  Automatically collects and analyzes market data such as market size, regulatory policies, consumer profiles, and distribution channels, providing comprehensive feasibility reports for market entry or product promotion.

• File Management
  Scans local folders to identify exact or near-duplicate files, grouping them by similarity to help users organize and manage files efficiently.

• Document Processing
  Automates document handling by generating summaries, extracting key information, or even writing full reports according to user needs, improving document processing efficiency.

• Social Media Management
  Assists users in creating, publishing, and optimizing social media content, analyzing user feedback, boosting engagement, and helping manage social media accounts effectively.