head to head · open source

llama.cpp vs Grepture

llama.cpp has 133,181 GitHub stars, 25,063 forks, 2,464 open issues and last shipped yesterday. Grepture has 12 stars, 0 forks, 0 open issues and last shipped yesterday. llama.cpp leads on adoption by 1,109,742% (133,181 vs 12 stars). llama.cpp is written in C++ under MIT; Grepture is written in TypeScript under AGPL-3.0. llama.cpp has attracted 19% as many forks as stars, Grepture 0%. 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.

llama.cpp ★ 133K Grepture ★ 12 category AI & Machine Learning

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Side by side

	llama.cpp	Grepture
GitHub stars	★ 133K	★ 12
License	MIT	AGPL-3.0
Written in	C++	TypeScript
Last push	2026-11-02	2026-11-02
Forks	⑂ 25K	⑂ 0
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

full llama.cpp profile →

pick Grepture if

You want the Grepture feature set and don't need the biggest community
You prefer the AGPL-3.0 license terms
Your stack matches TypeScript
You evaluated both and Grepture fits your workflow better

full Grepture profile →

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 Grepture

Grepture Proxy An LLM API proxy that detects and redacts PII, blocks sensitive content, and tokenizes fields — all before requests reach your AI provider. Quick Start The proxy starts on port 4001 by default. Send requests through it by setting the X Grepture Target header to your upstream API: The proxy will redact john@example.com before it reaches the API, based on your rules. Configuration Body Storage The proxy logs request and response bodies as part of its traffic log. For local mode runs, bodies are written to stdout and there is no size limit beyond what fits in memory (default 10MB per request). For…

read the full Grepture overview →

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Frequently asked questions

Is llama.cpp or Grepture more popular?

llama.cpp has 133,181 GitHub stars and Grepture has 12. llama.cpp has the larger community by that measure.

Are llama.cpp and Grepture free?

Both are open source. llama.cpp is licensed under MIT and Grepture under AGPL-3.0. Neither carries a licence fee.

What is the difference between llama.cpp and Grepture?

llama.cpp is written in C++ and Grepture 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 Grepture?

Choose llama.cpp if you want the larger community (133,181 stars) or its MIT licence terms. Choose Grepture if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.