head to head · open source
llama_index vs claude-context
llama_index has 52,779 GitHub stars, 8,500 forks, 770 open issues and last shipped 8 days ago. claude-context has 12,663 stars, 939 forks, 146 open issues and last shipped 4 months ago. llama_index leads on adoption by 317% (52,779 vs 12,663 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.
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Side by side
| llama_index | claude-context | |
|---|---|---|
| GitHub stars | ★ 53K | ★ 13K |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-10-26 | 2026-07-14 |
| Forks | ⑂ 8.5K | ⑂ 939 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 53K 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 (OSS Framework) 🦙 [!NOTE] The current focus of LlamaIndex is to build the best AI powered engine for document parsing and extraction. LlamaParse is our enterprise platform for agentic OCR, parsing, extraction, indexing and more. LiteParse represents our efforts to build the best free, fast, cheap text parser in the market. ParseBench and ExtractBench represent our commitment towards open benchmarking for parsing and extraction. The company itself has undergone an evolution since when this OSS framework first launched 3 years ago in 2023. Since the early days, the framework has consisted of a…
read the full llama_index overview →
About claude-context
🆕 Looking for persistent memory for Claude Code? Check out memsearch Claude Code plugin — a markdown first memory system that gives your AI agent long term memory across sessions. Your entire codebase as Claude's context Claude Context is an MCP plugin that adds semantic code search to Claude Code and other AI coding agents, giving them deep context from your entire codebase. 🧠 Your Entire Codebase as Context : Claude Context uses semantic search to find all relevant code from millions of lines. No multi round discovery needed. It brings results straight into the Claude's context. 💰 Cost Effective for Large…
read the full claude-context overview →
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Frequently asked questions
Is llama_index or claude-context more popular?
llama_index has 52,779 GitHub stars and claude-context has 12,663. 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 (52,779 stars) or its MIT licence terms. Choose claude-context if its feature set, stack or MIT licence fits better. Both are self-hostable.