head to head · open source
claude-context vs RAGLight
claude-context has 12,548 GitHub stars, 926 forks, 146 open issues and last shipped 2 months ago. RAGLight has 673 stars, 102 forks, 22 open issues and last shipped 18 days ago. claude-context leads on adoption by 1,764% (12,548 vs 673 stars). claude-context is written in TypeScript under MIT; RAGLight is written in Python under MIT. claude-context has attracted 7% as many forks as stars, RAGLight 15%. RAGLight was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (agentic-rag, mcp), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| claude-context | RAGLight | |
|---|---|---|
| GitHub stars | ★ 13K | ★ 673 |
| License | MIT | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-07-14 | 2026-09-02 |
| Forks | ⑂ 926 | ⑂ 102 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick claude-context if
- You weight community size — 13K stars and counting
- You want the MIT license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick RAGLight if
- You want the RAGLight feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and RAGLight fits your workflow better
About claude-context
Claude Context is an open source Model Context Protocol (MCP) plugin that adds semantic code search to Claude Code and other AI coding agents. It is written in TypeScript, licensed under MIT, and published to npm as @zilliz/claude context core and @zilliz/claude context mcp . The project lives in the AI coding agent ecosystem, where it plugs into MCP compatible clients such as Claude Code, OpenAI Codex CLI, Cursor, and Gemini CLI. A companion VS Code extension is distributed through the Visual Studio Marketplace as zilliz.semanticcodesearch .
read the full claude-context overview →
About RAGLight
RAGLight is a lightweight, modular Python library for building Retrieval Augmented Generation pipelines, aimed at developers who want to swap LLMs, embedding models, and vector stores without rewriting application code.
read the full RAGLight overview →
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Frequently asked questions
Is claude-context or RAGLight more popular?
claude-context has 12,548 GitHub stars and RAGLight has 673. claude-context has the larger community by that measure.
Are claude-context and RAGLight free?
Both are open source. claude-context is licensed under MIT and RAGLight under MIT. Neither carries a licence fee.
What is the difference between claude-context and RAGLight?
claude-context is written in TypeScript and RAGLight in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, claude-context or RAGLight?
Choose claude-context if you want the larger community (12,548 stars) or its MIT licence terms. Choose RAGLight if its feature set, stack or MIT licence fits better. Both are self-hostable.