head to head · open source
llama.cpp vs claude-context
llama.cpp has 133,181 GitHub stars, 25,063 forks, 2,464 open issues and last shipped yesterday. claude-context has 12,663 stars, 939 forks, 146 open issues and last shipped 4 months ago. llama.cpp leads on adoption by 952% (133,181 vs 12,663 stars). llama.cpp is written in C++ under MIT; claude-context is written in TypeScript under MIT. llama.cpp has attracted 19% as many forks as stars, claude-context 7%. llama.cpp 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.cpp | claude-context | |
|---|---|---|
| GitHub stars | ★ 133K | ★ 13K |
| License | MIT | MIT |
| Written in | C++ | TypeScript |
| Last push | 2026-11-02 | 2026-07-14 |
| Forks | ⑂ 25K | ⑂ 939 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama.cpp if
- You weight community size — 133K stars and counting
- You want the MIT license terms
- Your stack matches C++
- 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.cpp
llama.cpp LLM inference in C/C++ ggml / ops / maintainer PRs%20sort%3Aupdated desc) / dev stats / lib llama API / llama server REST API Quick start A few options to get llama.cpp installed on your machine: Visit and follow the instructions Run with Docker see our Docker documentation Download pre built binaries from the releases page Build from source by cloning this repository check out our build guide Once installed: VLM session with llama cli Built in web UI against llama serve Description The main goal of llama.cpp is to enable LLM (and VLM) inference with minimal setup and state of the art performance on a…
read the full llama.cpp 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.cpp or claude-context more popular?
llama.cpp has 133,181 GitHub stars and claude-context has 12,663. llama.cpp has the larger community by that measure.
Are llama.cpp and claude-context free?
Both are open source. llama.cpp is licensed under MIT and claude-context under MIT. Neither carries a licence fee.
What is the difference between llama.cpp and claude-context?
llama.cpp is written in C++ 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.cpp or claude-context?
Choose llama.cpp if you want the larger community (133,181 stars) or its MIT licence terms. Choose claude-context if its feature set, stack or MIT licence fits better. Both are self-hostable.