by UnicomAI
China Unicom's Yuanjing Wanwu Agent Platform is an enterprise-grade, multi-tenant AI agent development platform. It helps users build applications such as intelligent agents, workflows, and rag, and also supports model management. The platform features a developer-friendly license, and we welcome all developers to build upon the platform.
# Add to your Claude Code skills
git clone https://github.com/UnicomAI/wanwuWanwu AI Agent Platform is an enterprise-grade one-stop commercially friendly AI agent development platform designed for business scenarios. It is committed to providing enterprises with a safe, efficient, and compliant one-stop AI solution. With the core philosophy of "technology openness and ecological co-construction", we integrate cutting-edge technologies such as large language models and business process automation to build an AI engineering platform with a complete functional system covering model full life-cycle management, MCP, web search, AI agent rapid development, enterprise knowledge base construction, and complex workflow orchestration. The platform adopts a modular architecture design, supports flexible functional expansion and secondary development, and greatly reduces the application threshold of AI technology while ensuring the security and privacy protection of enterprise data. Whether it is for small and medium-sized enterprises to quickly build intelligent applications or for large enterprises to achieve intelligent transformation of complex business scenarios, the Wanwu AI Agent Platform can provide strong technical support to help enterprises accelerate the process of digital transformation, achieve cost reduction and efficiency improvement, and business innovation.
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✔ Enterprise-level engineering: Provides a complete toolchain from model management to application landing, solving the "last mile" problem of LLM technology landing
✔ Open-source ecological: Adopt a permissive and friendly Apache 2.0 License, supporting developers to freely expand and develop
✔ Full-stack technology support: Equipped with a professional team to provide architecture consulting, performance optimization and full-cycle empowerment for ecological partners
✔ Multi-tenant architecture: Provides a multi-tenant account system to meet the core needs of users in cost control, data security isolation, business elasticity expansion, industry customization, rapid online and ecological collaboration
✔ XinChuang adaptation: The product has been awarded the “Xinchuang AI Hardware and Software System Inspection Certificate“，featuring hardware support for Huawei Kunpeng CPUs and software compatibility with domestic operating systems (e.g., openEuler, CULinux, Kylin) and databases (e.g., TiDB, OceanBase).
▸ Supports the unified access and lifecycle management of hundreds of proprietary/open-source large models (including GPT, Claude, Llama, etc.)
▸ Deeply adapts to OpenAI API standards and Unicom Yuanjing ecological models, realizing seamless switching of heterogeneous models
▸ Provides multi-inference backend support (vLLM, TGI, etc.) and self-hosted solutions to meet the computing power needs of enterprises of different scales
▸ Standardized interfaces: Enable AI models to seamlessly connect to various external tools (such as GitHub, Slack, databases, etc.) without the need to develop adapters for each data source separately
▸ Built-in rich and selected recommendations: Integrates 100+ industry MCP interfaces, making it easy for users to call up quickly and easily
▸ Real-time information acquisition: Possesses powerful web search capabilities, capable of obtaining the latest information from the Internet in real-time. In question and answer scenarios, when a user's question requires the latest news, data, and other information, the platform can quickly search and return accurate results, enhancing the timeliness and accuracy of the answers
▸ Multi-source data integration: Integrates various Internet data sources, including news websites, academic databases, industry reports, etc. Through the integration and analysis of multi-source data, it provides users with more comprehensive and in-depth information. For example, in market research scenarios, relevant data can be obtained from multiple data sources at the same time for comprehensive analysis and evaluation
▸ Intelligent search strategy: Adopt intelligent search algorithms, automatically optimize search strategies based on user questions to improve search efficiency and accuracy. Support keyword search, semantic search and other search methods to meet the needs of different users. At the same time, intelligently sort and filter search results, prioritize the display of the most relevant and valuable information
▸ Quickly build complex AI business processes through low-code drag-and-drop canvas
▸ Built-in conditional branching, API, large model, knowledge base, code, MCP and other nodes, support end-to-end process debugging and performance analysis
▸ Provides the whole process knowledge management capabilities of knowledge base creation → document parsing → vectorization → retrieval → fine sorting, supports multiple formats such as pdf/docx/txt/xlsx/csv/pptx documents, and also supports the capture and access of web resources
▸ Integrates multi-modal retrieval, cascading segmentation and adaptive segmentation, significantly improves the accuracy of Q&A
▸ Can be based on the function call (Function Calling) agent construction paradigm, supports tool expansion, private knowledge base association and multi-round dialogue
▸ Support online debugging
▸ Provides RESTful API, supports deep integration with existing enterprise systems (OA/CRM/ERP, etc.)
▸ Provides fine-grained permission control to ensure stable operation in production environments
| Function | Wanwu | Dify.AI | Fastgpt | Ragflow | Coze open source version | | :----------------: | :---: | :-----------------------------: | :------------------------: | :-----------------------------: | :-----------------------------: | | Model import | ✅ | ✅ | ❌(Built-in models) | ✅ | ❌(Built-in models) | | RAG engine | ✅ | ✅ | ✅ | ✅ | ✅ | | MCP | ✅ | ✅ | ✅ | ✅(Need to install tools to use) | ❌ | | Direct OCR import | ✅ | ❌ | ❌ | ❌ | ❌ | | Search enhancement | ✅ | ✅(Need to install tools to use) | ✅ | ✅(Need to install tools to use) | ✅ | | Agent