"Protocol-Driven · Engineering-First · AI-Empowered"
ChainEngine Studio is a full-stack technical team dedicated to the engineering of large model applications and the development of AI infrastructure.
We are committed to building a complete end-to-end technical closed loop spanning underlying protocol interconnection up to upper-layer agent collaboration, and advancing the large-scale industrial transformation of AI capabilities from experimental prototypes to production-grade deployments.
- Vision: To become a leading open-source team specializing in industrialized large model engineering
- Mission: Accelerate scalable production implementation of AI systems via standardized engineering methodologies
- Values: Full-stack Practice, Production Engineering, Open-Source Collaboration
| Project | Description | Tech Stack |
|---|---|---|
| x-deepagents | Multi-agent autonomous task planning & complex decision workflow engine | Python, LangGraph, MCP |
| x-langgraph | Enterprise-grade graph-based LLM workflow orchestration toolkit | Python, LangChain, LangGraph |
| x-langchain | Encapsulated production-ready LangChain base component library | Python, LangChain, LangSmith |
| Project | Description | Tech Stack |
|---|---|---|
| x-rag | Modular retrieval-augmented generation engine for enterprise knowledge bases | Python, LlamaIndex, Vector DB |
| x-llamaindex | Optimized document parsing & vector knowledge base management toolkit | Python, LlamaIndex |
| Project | Description | Tech Stack |
|---|---|---|
| x-QiuChi | Enterprise-grade MCP protocol server for standardized tool invocation | Python, FastMCP |
| x-langserve | Lightweight LLM service publishing & RESTful API deployment framework | Python, FastAPI, LangServe |
| x-dify | Low-code AI application orchestration platform wrapper & extension set | Python, Dify |
| x-XiChuang | Production-grade LLM application templates & custom intelligent assistants | Python, FastAPI |
| x-llm-app | General-purpose out-of-the-box AI application scaffold | Python |
- Languages: Python 3.11+
- Agent Orchestration: LangChain, LangGraph, FastMCP, MCP Protocol
- Knowledge Retrieval: LlamaIndex, RAG, Vector Databases
- Service Framework: FastAPI, LangServe
- Observability & Ops: LangSmith, Full-link Monitoring, CI/CD, Fault-Tolerance Mechanisms
We welcome contributions in all forms:
- 🐛 Report bugs
- 💡 Propose new features
- 📝 Improve documentation
- 🔧 Submit code patches
- ⭐ Star our projects
Please visit individual repository pages for detailed contribution guidelines.
This project is licensed under the MIT License.
| Item | Information |
|---|---|
| 👤 Author | John Young (夜雨诗来) |
| john.young@foxmail.com | |
| 🏠 Gitee | @yeyushilai |
| 💻 GitHub | @yeyushilai |
ChainEngine Studio — Build End-to-End AI Tech Loops, Scale LLM Capabilities to Production