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UnicomAI / Subagents

wanwu

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.

  • 2.4k estrellas
  • 144 forks
  • 44 issues abiertos
  • Lenguaje: Go
  • Licencia: Apache-2.0
  • actualizado

Instalación

Terminal
git clone https://github.com/UnicomAI/wanwu && cp wanwu/*.md ~/.claude/agents/
  1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
  2. Start a new Claude Code session to load the agents.
  3. Delegate work to them with the Task/Agent tool or by name.

Nota editorial

Yuanjing Wanwu is an open-source, Apache 2.0-licensed enterprise agent development platform built in Go by China Unicom, designed to give Forward Deployed Engineers a full-stack toolchain for delivering AI projects in corporate environments. The platform provides five core agent types: a RAG/Knowledge Base Agent supporting 12 file formats, URL crawling, OCR, MinerU private deployment, and a built-in UniAI-GraphRAG module with domain ontology modeling for cross-document multi-hop reasoning; an Ontology Agent for structured business data reasoning; a visual low-code Workflow Agent with drag-and-drop canvas, conditional branching, and MCP node support; a GUI Agent that operates application interfaces directly through sandboxed Docker containers without requiring API integration; and a General Agent with natural-language Skill creation. The platform connects to LLMs through a model management layer compatible with OpenAI-style APIs and supports MCP tool integration throughout its workflow canvas. Multi-tenant architecture makes it suited for enterprises deploying AI across teams, while FDEs and solution architects benefit most from its end-to-end delivery tooling.

Items instalables

24 items en este repositorio

Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection

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万悟平台 SSE 子会话递归嵌套与三明治序列渲染架构指南。涵盖 parentId 领养、order 绝对排序、动静 Chunk 分层及 Vue 2 响应式引用协议。

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Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

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全局归档协议。只要任务需要写入任何文件(含 PLAN.md、报告、JSON 等归档物),必须按本技能执行 Session→ARCHIVE_ID、TIMESTAMP、双轨路径(根段须为 archives/)、回读校验与状态回执;WebUI 的 archive_grid 必须用 Markdown 中语言标识为 json 的围栏代码块输出。

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指导业务知识网络(BKN)建模,输出符合 BKN 2.0.0 的对象类型、关系类型、操作类型、风险类型与概念分组定义。适用于用户提出本体设计、知识网络建模、实体关系梳理、Action 设计、Schema 评审、从文档提取初稿或扩展现有 BKN 的场景。

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boltzSkill

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borzoiSkill

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Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

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browserSkill

Browser automation — setup the bsession environment, fetch info from a website (one-shot), create scripted automations (one-shot or recurring), or debug existing sessions. Works from any repo.

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Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.

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chai1Skill

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Build apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks.

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Set up a compute environment on a remote provider so Claude Science jobs can run there. Covers direct SSH/conda hosts, Slurm clusters, container-via-bridge runners, and managed-API providers (Modal, GCP, RunPod). Use when standing up a new provider, porting an env to a different backend, adding a tool that needs its own software stack, or wiring weight caches. Triggers on "new compute provider", "set up env on", "port env to", "build GPU image", "weight cache", "compute_details", "conda env on the box", "apptainer on slurm".

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Create, configure, and maintain custom agent profiles and author new skills via the `repl` tool. Use when the user wants to create an agent profile, build a custom agent, modify agent capabilities, attach or detach skills/connectors on a profile, author a skill, or inspect which connectors and tools are available. Also use whenever you need the `host.agents.*` or `host.skills.*` Python SDK.

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Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.

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docxSkill

Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.

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evo2Skill

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Free AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API key needed.

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README

Resumen de Subagents

README no disponible. Visita el repo en GitHub para la documentación completa.
Topics
agentagentic-aiagentic-frameworkaiai-agentai-agent-development-frameworkai-agents-frameworkdevelopmentgenaigolangllmmcpopen-airagwanwuworkflow
Preguntas frecuentes

Lo que la gente pregunta sobre wanwu

¿Qué es UnicomAI/wanwu?

UnicomAI/wanwu es subagents para el ecosistema de Claude AI. 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. Tiene 2.4k estrellas en GitHub y su última actualización registrada es del 2026-10-16.

¿Cómo se instala wanwu?

Puedes instalar wanwu clonando el repositorio (https://github.com/UnicomAI/wanwu) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar UnicomAI/wanwu?

Nuestro agente de seguridad ha analizado UnicomAI/wanwu y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene UnicomAI/wanwu?

UnicomAI/wanwu es mantenido por UnicomAI. La última actividad registrada en GitHub es del 2026-10-16, con 44 issues abiertos.

¿Hay alternativas a wanwu?

Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.