📚 Wegent English Documentation

Welcome to the Wegent English Documentation!

Wegent is an open-source AI native operating system that enables you to define, organize, and run intelligent agents at scale.

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📖 Table of Contents

🚀 Getting Started

Your first steps with Wegent:

• Quick Start - Get up and running in 5 minutes
• Installation Guide - Complete installation and configuration

🧠 Core Concepts

Deep dive into Wegent's design:

• Architecture Overview - Wegent's overall architecture and tech stack
• Core Concepts - Detailed explanation of Ghost, Bot, Team, Workspace, and more
• Collaboration Models - Four collaboration patterns: Pipeline, Route, Coordinate, and Collaborate

📖 Guides

👤 User Guides

Guides for Wegent platform users:

• Agent Settings - Configure agents, bots, prompts, and collaboration modes
• Managing Tasks - Create and manage work tasks
• Configuring Models - Set up AI models (LLM, Embedding, Rerank)
• Configuring Shells - Configure execution environments
• Managing Skills - Upload and use Claude Code Skills
• Spec Clarification Mode - Interactive requirement specification clarification guide
• Knowledge Base Guide - RAG-based knowledge base system usage
• IM Channel Integration - Integrate DingTalk and other IM channels
• Local Device Support - Use personal computers as task executors

💻 Developer Guides

Technical documentation for Wegent developers:

• Development Setup - Local development environment configuration
• Testing - Unit and integration testing
• Database Migrations - Alembic database migration management

📋 Reference

Detailed technical references:

• YAML Specification - Complete YAML configuration format

📝 Configuration Examples

• Team Configuration Example - Complete Team YAML configuration example

🤝 Contributing

• Contribution Guide - How to participate in Wegent project contributions

🔧 Help & Support

• FAQ - Frequently asked questions
• Troubleshooting - Problem diagnosis and solutions

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🌟 Key Features at a Glance

🎨 Configuration-Driven Agent Teams

Define and run personalized agent teams through YAML configuration with web UI - no secondary development required.

⚙️ Multi-Engine Architecture

Built on Agno and Claude Code agent engines, supporting both dialogue and coding modes.

🔒 Isolated Sandbox Environments

Each agent team runs in an independent sandbox, enabling multiple teams to execute simultaneously.

🤝 Advanced Collaboration Modes

Dialogue mode supports parallel, leader-based, and other agent collaboration patterns for complex workflows.

💻 AI Coding Integration

Coding mode integrates with GitHub/GitLab and other code services to implement AI-driven development and code review workflows.

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🔗 Related Links

• 中文文档 - Chinese Documentation
• GitHub Repository - Source code repository
• GitHub Issues - Issue tracker

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💡 Documentation Conventions

Icon meanings used throughout this documentation:

• 📘 Basic content
• 🔧 Practical operations
• ⚠️ Important notes
• 💡 Best practices
• 📝 Code examples
• 🚀 Advanced topics

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