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ageerle / Subagents

ruoyi-ai

Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and multi-agent coordination.

  • 5.8k estrellas
  • 1.4k forks
  • 11 issues abiertos
  • Lenguaje: Java
  • Licencia: MIT
  • actualizado

Instalación

Terminal
git clone https://github.com/ageerle/ruoyi-ai && cp ruoyi-ai/*.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

RuoYi AI is a Java-based, full-stack enterprise AI platform built on Spring Boot 3.5.8 and Langchain4j that lets organizations deploy a self-hosted AI assistant environment with a Vue 3 admin console, a user-facing frontend, and a backend API, all launchable via a single Docker Compose command. It connects to multiple model providers, including OpenAI, DeepSeek, Tongyi, Zhipu, and MiniMax, and integrates with third-party AI platforms such as Coze, Dify, and FastGPT. Claude and other models are accessed through a unified API layer rather than through Claude Code or Claude Desktop directly. The platform includes a visual workflow designer with drag-and-drop nodes supporting model calls, email sending, and human review steps, plus a RAG pipeline backed by Milvus, Weaviate, or Qdrant vector databases for enterprise knowledge management. Multi-agent coordination runs in Supervisor mode using the Langchain4j agent framework, and external tools connect through the MCP protocol. Enterprise developers building internal AI assistants with auditable workflows and private knowledge bases are the primary audience.

Items instalables

6 items en este repositorio

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.

Instalar
pdfSkill

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

Instalar

Investigate an unfamiliar repository before changing it. Use this whenever a coding task spans multiple modules, asks for architecture or root-cause analysis, names behavior whose implementation location is unknown, or risks editing before enough evidence is gathered.

Instalar

Execute behavior-preserving or intentionally scoped refactors safely. Use this for multi-file renames, component/service extraction, state-management changes, API migrations, concurrency refactors, or any request where unrelated user work and subtle contracts must be preserved.

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Prove that a coding task is actually complete. Use this after meaningful code changes, when tests/builds fail or are skipped, before marking a plan or goal complete, and whenever acceptance depends on runtime, security, recovery, performance, or cross-module evidence.

Instalar
xlsxSkill

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

Instalar
README

Resumen de Subagents

README no disponible. Visita el repo en GitHub para la documentación completa.
Topics
agentaiknowledgemcprag
Preguntas frecuentes

Lo que la gente pregunta sobre ruoyi-ai

¿Qué es ageerle/ruoyi-ai?

ageerle/ruoyi-ai es subagents para el ecosistema de Claude AI. Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and multi-agent coordination. Tiene 5.8k estrellas en GitHub y su última actualización registrada es del 2026-10-21.

¿Cómo se instala ruoyi-ai?

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

¿Es seguro usar ageerle/ruoyi-ai?

Nuestro agente de seguridad ha analizado ageerle/ruoyi-ai 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 ageerle/ruoyi-ai?

ageerle/ruoyi-ai es mantenido por ageerle. La última actividad registrada en GitHub es del 2026-10-21, con 11 issues abiertos.

¿Hay alternativas a ruoyi-ai?

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

Web del proyecto
https://doc.ruoyiai.chat