wecode-ai / Wegent
An open-source AI-native operating system to define, organize, and run intelligent agent teams
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Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context on-demand, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.
Repository Overview (README excerpt)
Crawler viewWegent > 🚀 An open-source AI-native operating system to define, organize, and run intelligent agent teams English | 简体中文 Quick Start · Documentation · Development Guide --- 🏗️ Architecture Overview --- ✨ Core Features 💬 Chat Agent A fully open-source chat agent with powerful capabilities: • **Multi-Model Support**: Compatible with Claude, OpenAI, Gemini, DeepSeek, GLM and other mainstream models • **Conversation History**: Create new conversations, multi-turn dialogues, save and share chat history • **Group Chat**: AI group chat where AI responds based on conversation context with @mentions • **Attachment Parsing**: Send txt, pdf, ppt, doc, images and other file formats in single/group chats • **Follow-up Mode**: AI asks clarifying questions to help refine your requirements • **Error Correction Mode**: Multiple AI models automatically detect and correct response errors • **Long-term Memory**: Supports mem0 integration for conversation memory persistence • **Sandbox Execution**: Execute commands or modify files via sandbox, E2B protocol compatible • **Extensions**: Customize prompts, MCP tools and Skills (includes chart drawing skill) 💻 Code Agent A cloud-based Claude Code execution engine: • **Multi-Model Configuration**: Configure various Claude-compatible models • **Concurrent Execution**: Run multiple coding tasks simultaneously in the cloud • **Requirement Clarification**: AI analyzes code and asks questions to generate specification documents • **Git Integration**: Integrate with GitHub/GitLab/Gitea/Gerrit to clone, modify and create PRs • **MCP/Skill Support**: Configure MCP tools and Skills for agents • **Multi-turn Conversations**: Continue conversations with follow-up questions 📡 AI Feed A cloud-based AI task trigger system: • **Full Capability Access**: Tasks can use all Chat and Code mode capabilities • **Scheduled/Event Triggers**: Set up cron schedules or event-based AI task execution • **Information Feed**: Display AI-generated content as an information stream • **Event Filtering**: Filter conditions like "only notify me if it will rain tomorrow" 📚 AI Knowledge A cloud-based AI document repository: • **Document Management**: Upload and manage txt/doc/ppt/xls and other document formats • **Web Import**: Import web pages and DingTalk multi-dimensional tables • **NotebookLM Mode**: Select documents directly in notebooks for Q&A • **Online Editing**: Edit text files directly in notebook mode • **Chat Integration**: Reference knowledge bases in single/group chats for AI responses 🖥️ AI Device Run AI tasks on your local machine with full control: • **Local Executor**: Install and run the Wegent executor on your own device • **Multi-Device Management**: Register and manage multiple local devices • **Default Device**: Set a preferred device for quick task execution • **Secure Connection**: Connect to Wegent backend via authenticated WebSocket 💬 IM Integration Integrate AI agents into your favorite IM tools: • **DingTalk Bot**: Deploy agents as DingTalk bots for team collaboration • **Telegram Bot**: Connect agents to Telegram for personal or group chats 🔧 Customization All features above are fully customizable: • **Custom Agents**: Create custom agents in the web UI, configure prompts, MCP, Skills and multi-agent collaboration • **Agent Creation Wizard**: 4-step creation: Describe requirements → AI asks questions → Real-time fine-tuning → One-click create • **Organization Management**: Create and join groups, share agents, models, Skills within groups --- 🔧 Extensibility • **Agent Creation Wizard**: 4-step creation: Describe requirements → AI asks questions → Real-time fine-tuning → One-click create • **Collaboration Modes**: 4 out-of-the-box multi-Agent collaboration modes (Sequential/Parallel/Router/Loop) • **Skill Support**: Dynamically load skill packages to improve Token efficiency • **MCP Tools**: Model Context Protocol for calling external tools and services • **Execution Engines**: ClaudeCode / Agno sandboxed isolation, Dify API proxy, Chat direct mode • **YAML Config**: Kubernetes-style CRD for defining Ghost / Bot / Team / Skill • **API**: OpenAI-compatible interface for easy integration with other systems --- 🚀 Quick Start **One command to start:** Then open http://localhost:3000 in your browser. Other Deployment Options | Mode | Description | |------|-------------| | **Standalone** (default) | Single container, SQLite, recommended for most users | | **Standard** | Multi-container, MySQL, for production | | **Development** | Hot reload, for developers | 🔧 Common Commands > 📖 See Standalone Mode Documentation for details. --- 📦 Built-in Agents | Team | Purpose | |------|---------| | chat-team | General AI assistant + Mermaid diagrams | | translator | Multi-language translation | | dev-team | Git workflow: branch → code → commit → PR | | wiki-team | Codebase Wiki documentation generation | --- 🤝 Contributing We welcome contributions! Please see our Contributing Guide for details. 📞 Support • 🐛 Issues: GitHub Issues • 💬 Discord: Join our community 👥 Contributors Thanks to the following developers for their contributions and efforts to make this project better. 💪 Axb Feifei MicroLee YaFei Liu FicoHu Yanhe Johnny0120 Yi Xiang Joyway78 Parabala Icycrystal4 Moqimoqidea Xuemin Fengkuizhi Kerwin Bryant Just Quan Junbaor Fingki Li Daiyan Sense_wang Jolestar Erdawang Jake Zhang Jasper Zhong Ray RichardoMu _ Andrewzq777 Graindt Qingcheng Salt-hai wxcfox --- Made with ❤️ by WeCode-AI Team