head to head · open source
PageIndex vs claude-context
PageIndex has 35,765 GitHub stars, 3,152 forks, 103 open issues and last shipped yesterday. claude-context has 12,548 stars, 926 forks, 146 open issues and last shipped 2 months ago. PageIndex leads on adoption by 185% (35,765 vs 12,548 stars). PageIndex is written in Python under MIT; claude-context is written in TypeScript under MIT. PageIndex has attracted 9% as many forks as stars, claude-context 7%. PageIndex was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| PageIndex | claude-context | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 13K |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-09-19 | 2026-07-14 |
| Forks | ⑂ 3.2K | ⑂ 926 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PageIndex if
- You weight community size — 36K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick claude-context if
- You want the claude-context feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and claude-context fits your workflow better
About PageIndex
PageIndex is a vectorless, reasoning based retrieval augmented generation engine written in Python and released under the MIT license. It lives in the AI and machine learning infrastructure ecosystem, with topics spanning RAG, information retrieval, LLM reasoning, context engineering, and agentic AI. Instead of building a vector index, PageIndex generates a hierarchical tree index for each document and then lets a large language model reason its way through that tree, in the same way a human expert turns to the right section of a long report. The project ships as a Python SDK, a hosted cloud service, and a docume…
read the full PageIndex overview →
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 →
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Frequently asked questions
Is PageIndex or claude-context more popular?
PageIndex has 35,765 GitHub stars and claude-context has 12,548. PageIndex has the larger community by that measure.
Are PageIndex and claude-context free?
Both are open source. PageIndex is licensed under MIT and claude-context under MIT. Neither carries a licence fee.
What is the difference between PageIndex and claude-context?
PageIndex is written in Python and claude-context in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, PageIndex or claude-context?
Choose PageIndex if you want the larger community (35,765 stars) or its MIT licence terms. Choose claude-context if its feature set, stack or MIT licence fits better. Both are self-hostable.