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nageoffer / Subagents

ragent

企业级 Agentic RAG 智能体 - 全链路覆盖文档解析、多路检索、意图识别、问题重写、会话记忆、MCP 工具调用与深度思考。面向真实业务场景,从 0 到 1 完整工程实现。

  • 4.3k stars
  • 882 forks
  • 89 open issues
  • Language: Java
  • License: Apache-2.0
  • updated

Install

Terminal
git clone https://github.com/nageoffer/ragent && cp ragent/*.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.

Editor's note

Ragent is a Java-based, enterprise-grade Agentic RAG platform built with Spring AI that covers the full pipeline from document ingestion to intelligent question answering. It implements parallel multi-channel retrieval with deduplication and reranking, a tree-structured intent classifier that requests clarification when confidence falls below a threshold, query rewriting for multi-turn conversations, session memory management, and MCP tool integration that automatically invokes business tools for non-knowledge intents. The platform includes a model scheduling layer with health checks, first-packet latency probing, and automatic failover so that individual model outages do not interrupt service. It connects to LLMs through a custom scheduling engine rather than LangChain4j or Spring AI abstractions, a deliberate design choice the project documents in detail. The primary audience is Java backend developers transitioning into AI engineering roles, and the repository explicitly frames the codebase as resume-ready material for candidates who need to demonstrate production-grade RAG and Agent experience in technical interviews.

README

Subagents overview

README preview not available. Visit the repo on GitHub for full documentation.
Use cases
Topics
agentagentic-ragaillmmcpragspringai
Frequently asked

What people ask about ragent

What is nageoffer/ragent?

nageoffer/ragent is subagents for the Claude AI ecosystem. 企业级 Agentic RAG 智能体 - 全链路覆盖文档解析、多路检索、意图识别、问题重写、会话记忆、MCP 工具调用与深度思考。面向真实业务场景,从 0 到 1 完整工程实现。 It has 4.3k GitHub stars and its last recorded update is dated 2026-10-15.

How do I install ragent?

You can install ragent by cloning the repository (https://github.com/nageoffer/ragent) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is nageoffer/ragent safe to use?

Our security agent has analyzed nageoffer/ragent and assigned a Trust Score of 97/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains nageoffer/ragent?

nageoffer/ragent is maintained by nageoffer. The last recorded GitHub activity is dated 2026-10-15, with 89 open issues.

Are there alternatives to ragent?

Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.