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.
Your first steps with Wegent:
- Quick Start - Get up and running in 5 minutes
- Installation Guide - Complete installation and configuration
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 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
Technical documentation for Wegent developers:
- Development Setup - Local development environment configuration
- Testing - Unit and integration testing
- Database Migrations - Alembic database migration management
Detailed technical references:
- YAML Specification - Complete YAML configuration format
- Team Configuration Example - Complete Team YAML configuration example
- Contribution Guide - How to participate in Wegent project contributions
- FAQ - Frequently asked questions
- Troubleshooting - Problem diagnosis and solutions
Define and run personalized agent teams through YAML configuration with web UI - no secondary development required.
Built on Agno and Claude Code agent engines, supporting both dialogue and coding modes.
Each agent team runs in an independent sandbox, enabling multiple teams to execute simultaneously.
Dialogue mode supports parallel, leader-based, and other agent collaboration patterns for complex workflows.
Coding mode integrates with GitHub/GitLab and other code services to implement AI-driven development and code review workflows.
- 中文文档 - Chinese Documentation
- GitHub Repository - Source code repository
- GitHub Issues - Issue tracker
Icon meanings used throughout this documentation:
- 📘 Basic content
- 🔧 Practical operations
⚠️ Important notes- 💡 Best practices
- 📝 Code examples
- 🚀 Advanced topics
Made with ❤️ by WeCode-AI Team