Code & Development · GitHub ·31 ★

RAGENT

Probably one of the lightest native RAG + Agent apps out there，experience the power of Agent-powered models and Agent-driven knowledge bases in one click, without complex configuration.

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Details

Author
Wannabeasmartguy
Category
Code & Development
Platform
GitHub
Framework
autogen
Language
python
Stars
31
First indexed
2026-05-15
Last active
2025-05-30
Directory sync
2026-05-15
@Wannabeasmartguy

Overview

Probably one of the lightest native RAG + Agent apps out there，experience the power of Agent-powered models and Agent-driven knowledge bases in one click, without complex configuration.

Quick start

git

git clone https://github.com/Wannabeasmartguy/RAGENT

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

What RAGENT can do

llmragtest
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Test — test task automation.

Frequently asked questions

What is RAGENT?
Probably one of the lightest native RAG + Agent apps out there，experience the power of Agent-powered models and Agent-driven knowledge bases in one click, without complex configuration.
How do I install RAGENT?
Use git: `git clone https://github.com/Wannabeasmartguy/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 everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. 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 Wannabeasmartguy.

Last scraped: · First indexed:

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