AI Infrastructure · GitHub ·1,464 ★

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。

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Details

Author
nageoffer
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
java
Stars
1,464
First indexed
2026-05-15
Last active
2026-04-12
Directory sync
2026-05-15
@nageoffernageoffer.com

Overview

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。

Quick start

git

git clone https://github.com/nageoffer/ragent

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What ragent can do

llmrag
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.

Frequently asked questions

What is 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。
How do I install ragent?
Use git: `git clone https://github.com/nageoffer/ragent`. Full setup details on the source page linked above.
Is ragent open source?
ragent is published on GitHub.
What are alternatives to ragent?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for ragent is sourced from GitHub, published by nageoffer.

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