🚀 An open-source AI-native operating system to define, organize, and run intelligent agent teams
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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)
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
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"
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
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
- 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
curl -fsSL https://raw.githubusercontent.com/wecode-ai/Wegent/main/install.sh | bashThen open http://localhost:3000 in your browser.
Optional: Enable RAG features with
docker compose --profile rag up -d
| 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 |
Frontend (Next.js) → Backend (FastAPI) → Executor Manager → Executors (ClaudeCode/Agno/Dify/Chat)
Core Concepts:
- Ghost (prompt) + Shell (environment) + Model = Bot
- Multiple Bots + Collaboration Mode = Team
See Core Concepts | YAML Spec
We welcome contributions! Please see our Contributing Guide for details.
- 🐛 Issues: GitHub Issues
- 💬 Discord: Join our community
Thanks to the following developers for their contributions and efforts to make this project better. 💪
Made with ❤️ by WeCode-AI Team