RAGLight

by Bessouat40 · Memory & Knowledge · ★ 673

RAGLight is an MCP server by Bessouat40. RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources. It has 673 GitHub stars and ranks #117 of 1287 in Memory & Knowledge by stars.

Category: Memory & Knowledge
Author: Bessouat40
GitHub stars: 673
This week: Tracking since 18 Oct 2026
Language: Python
License: MIT (open source)
Last update: 2026-10-16 (8 days ago)
Links: Source Website

agentic-ai
agentic-rag
agentic-workflow
artificial-intelligence
data-science
framework
huggingface
lmstudio
mcp
mcp-tools
mistral-api
mistralai
+7 more

How to install RAGLight

Install steps differ per project, so follow the README in the RAGLight repository. Most MCP servers start with a single command (npx -y <package>, uvx <package> or a Docker image) that you add to your client's config. The install guide shows where that goes in Claude Code, Claude Desktop, Cursor and VS Code.

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Frequently asked questions

What is RAGLight?

RAGLight is an MCP server by Bessouat40 in the Memory & Knowledge category. RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources. It has 673 GitHub stars and ranks #117 of 1287 in Memory & Knowledge by stars.

Is RAGLight free and open source?

Yes. RAGLight is published under the MIT license, so you can run, modify and self-host it at no cost. If it connects to a paid service, that service's own pricing and API terms still apply. Check the repository for the exact license text before using it commercially.

What are the alternatives to RAGLight?

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