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/wanwuLast scanned: 4/21/2026
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The Yuanjing Wanwu AI Agent Platform is an enterprise-oriented, one-stop, and commercial-license-friendly agent development platform, dedicated to providing enterprises with secure, efficient, and compliant one-stop AI solutions. With the core philosophy of "open technology and collaborative ecosystem building," 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 full-lifecycle model management, MCP, web search, General agent & Skills orchestration, enterprise knowledge base construction, and complex workflow orchestration. The platform has now fully upgraded to a "General Agent + Vertical Scenario Skills" dual-engine development platform. While ensuring enterprise data security and privacy protection, it significantly lowers the application threshold of AI technology, helping enterprises accelerate their digital transformation processes to achieve cost reduction, efficiency enhancement, and business innovation.
✔ 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
▸ Dual-Engine Mode: Breaks the limitation of traditional agents "having a brain but no hands," upgrading to a "General Agent + Vertical Scenario Skills" dual-engine platform to create an enterprise-level super agent that is both "knowledgeable" and "professional"
▸ Almighty Brain: The general agent, as the core engine, has now demonstrated professional analyst-level multi-step reasoning and information integration capabilities in complex scenarios like deep research and data analysis
▸ Minimalist Skill Building: Supports "one-sentence Skill creation". No code is required; just describe your needs in natural language to automatically generate vertical scenario skills, turning business experience into a dedicated "toolbox"
▸ Zero-Code Orchestration Closed Loop: The industry's first to support zero-code Skill calling during agent development. Directly associate Skills in the visual interface to achieve a perfect closed loop from "intent recognition" to "skill execution"
▸ On-Demand Toolbox: Flexibly configure and call built-in tools, Skills, MCP, workflows, and other agents, making AI not only "think" but also "act" ▸ Read Hundreds of Pages in Seconds: Supports uploading various files; the general agent can quickly parse them and conduct precise deep Q&A and interaction based on the files
▸ Unified Workspace: Provides a unified destination for outcomes, neatly displaying all interactively generated files with support for online preview and one-click download
▸ Basic Development Paradigm: Still supports traditional Agent construction based on function calling, supporting private knowledge base association and multi-round online debugging
▸ Automatically constructs business knowledge networks from enterprise data and documents, empowering AI with deep reasoning and closed-loop actio