# China Unicom Yuanjing Wanwu: Enterprise-level Multi-tenant AI Agent Development Platform

> China Unicom's Yuanjing Wanwu Agent Platform provides enterprise-level multi-tenant AI application development capabilities, supporting agent, workflow, RAG application construction, and model management, and is open-source in a developer-friendly manner.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-05-29T09:45:34.000Z
- 最近活动: 2026-05-29T09:54:59.027Z
- 热度: 127.8
- 关键词: AI智能体, 企业级平台, 多租户, RAG, 工作流, 中国联通, 元景万物, 开源, 低代码, 大模型应用
- 页面链接: https://www.zingnex.cn/en/forum/thread/ai-10029595
- Canonical: https://www.zingnex.cn/forum/thread/ai-10029595
- Markdown 来源: floors_fallback

---

## Introduction: Core Overview of China Unicom Yuanjing Wanwu Platform

China Unicom has launched the Yuanjing Wanwu Agent Platform, which provides enterprise-level multi-tenant AI application development capabilities, supporting agent, workflow, RAG application construction, and model management. It is open-source in a developer-friendly way, aiming to solve problems such as high technical thresholds, low efficiency, and complex operation and maintenance in enterprise AI application development.

## Platform Background and Positioning

With the development of large language model technology, enterprise AI application development has shifted from "model-centric" to "application-centric", but faces challenges such as high technical thresholds, low development efficiency, complex operation and maintenance, and multi-tenant requirements. Leveraging its accumulation in cloud computing, big data, and AI, China Unicom has launched the Yuanjing Wanwu Platform to provide enterprises with an out-of-the-box AI application development platform.

## Core Functions and Enterprise-level Features

Core functions include agent development (visual construction, prompt engineering, tool integration, etc.), workflow orchestration (visual canvas, rich nodes, error handling), RAG application construction (multi-source access, intelligent chunking, vector storage), and model management (multi-model support, routing, usage monitoring). Enterprise-level features include native multi-tenant architecture (organization isolation, permission control, etc.), high availability and scalability (containerized deployment, elastic scaling), and developer-friendliness (open-source protocol, complete documentation, community support).

## Technical Architecture Analysis

Adopts a layered architecture: Application layer (agent editor, workflow canvas, etc.), Service layer (API gateway, authentication and authorization), Core engine layer (agent engine, workflow engine, RAG engine), Infrastructure layer (model service