wanwu

Source#

• Repository: UnicomAI/wanwu
• Last source update: 2026-04-05
• Last verified: 2026-04-05

Tags#

Integration notes#

Repository is focused on tool/server interoperability; wrap in bounded worker contracts for production use.

worker.md example#

Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.

---
id: wanwu-repo-derived-worker
name: wanwu Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/wanwu/
source_repository: https://github.com/UnicomAI/wanwu
repository_default_branch: main
repository_language: Go
repository_license: Apache-2.0
repository_updated_at: 2026-04-05
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.9
derived_on: 2026-04-05
tags:
  - agent
  - agentic-ai
  - agentic-framework
  - ai
  - ai-agent
  - ai-agent-development-framework
---

# wanwu Repo-Derived Worker

## Repo-derived summary
- Registry summary: 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, an...
- Repository description: 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.
- Stars (snapshot): 4,243
- Primary language: Go
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/UnicomAI/wanwu
- https://github.com/UnicomAI/wanwu/blob/main/README.md
- https://github.com/UnicomAI/wanwu/blob/main/configs/microservice/bff-service/static/manual/2.%E7%9F%A5%E8%AF%86%E5%BA%93/%E8%BF%9E%E6%8E%A5%E5%A4%96%E6%8E%A5%E7%9F%A5%E8%AF%86%E5%BA%93.md
- https://github.com/UnicomAI/wanwu/blob/main/configs/microservice/bff-service/static/manual/2.%E8%B5%84%E6%BA%90%E5%BA%93%2FMCP%E6%9C%8D%E5%8A%A1.md
- https://github.com/UnicomAI/wanwu/blob/main/configs/microservice/bff-service/static/manual/2.%E8%B5%84%E6%BA%90%E5%BA%93%2FSkills.md

## Evidence notes (from repository text)
- README summary paragraph: Core Function Modules • Typical Application Scenarios • Quick Start • Using Wanwu • Q & A • Contact Us
- ✔ **Enterprise-level engineering**: Provides a complete toolchain from model management to application landing, solving the "last mile" problem of LLM technology landing
- ▸ **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
- #### **4. Visual Workflow (Workflow Studio)**
- ▸ Built-in **conditional branching, API, large model, knowledge base, code, MCP** and other nodes, support end-to-end process debugging and performance analysis

## Installation hints found in README
- No explicit package installation command detected in README text.

## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.

### Input schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "task",
    "context"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "task": {
      "type": "string"
    },
    "context": {
      "type": "object"
    }
  }
}
```

### Output schema
```json
{
  "type": "object",
  "additionalProperties": false,
  "required": [
    "run_id",
    "status",
    "result"
  ],
  "properties": {
    "run_id": {
      "type": "string"
    },
    "status": {
      "type": "string",
      "enum": [
        "ok",
        "retryable_error",
        "invalid_request",
        "invalid_output"
      ]
    },
    "result": {
      "type": "object"
    }
  }
}
```

### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use

## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.

How to use#

• Save this as a worker spec file (for example: wanwu-my-task.worker.md).
• Replace the input/output schemas and purpose with your real bounded task.
• Enforce schema validation + timeout + retry policy in your runtime before production use.

Citation#

Reference URL: https://worker.md/registry/wanwu/

Source URL: https://github.com/UnicomAI/wanwu