head to head · open source
llama_index vs claude-context
llama_index has 52,202 GitHub stars, 8,162 forks, 770 open issues and last shipped yesterday. claude-context has 12,537 stars, 923 forks, 146 open issues and last shipped 2 months ago. llama_index leads on adoption by 316% (52,202 vs 12,537 stars). llama_index is written in Python under MIT; claude-context is written in TypeScript under MIT. llama_index has attracted 16% as many forks as stars, claude-context 7%. llama_index 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.
← all 8884 open source comparisons
Side by side
| llama_index | claude-context | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 13K |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-09-17 | 2026-07-14 |
| Forks | ⑂ 8.2K | ⑂ 923 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 52K 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 llama_index
LlamaIndex is an MIT licensed, open source Python framework for building agentic applications — retrieval augmented generation systems, agents and multi agent workflows — on top of private documents and data, and it is aimed at AI engineers and teams who need to connect large language models to their own sources of context.
read the full llama_index 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 →
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is llama_index or claude-context more popular?
llama_index has 52,202 GitHub stars and claude-context has 12,537. llama_index has the larger community by that measure.
Are llama_index and claude-context free?
Both are open source. llama_index is licensed under MIT and claude-context under MIT. Neither carries a licence fee.
What is the difference between llama_index and claude-context?
llama_index 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, llama_index or claude-context?
Choose llama_index if you want the larger community (52,202 stars) or its MIT licence terms. Choose claude-context if its feature set, stack or MIT licence fits better. Both are self-hostable.