head to head · open source

llama.cpp vs unbody

llama.cpp has 133,181 GitHub stars, 25,063 forks, 2,464 open issues and last shipped yesterday. unbody has 524 stars, 47 forks, 3 open issues and last shipped 7 months ago. llama.cpp leads on adoption by 25,316% (133,181 vs 524 stars). llama.cpp is written in C++ under MIT; unbody is written in TypeScript under Apache-2.0. llama.cpp has attracted 19% as many forks as stars, unbody 9%. 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 unbody ★ 524 category AI & Machine Learning

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Side by side

	llama.cpp	unbody
GitHub stars	★ 133K	★ 524
License	MIT	Apache-2.0
Written in	C++	TypeScript
Last push	2026-11-02	2026-04-14
Forks	⑂ 25K	⑂ 47
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 unbody if

You want the unbody feature set and don't need the biggest community
You prefer the Apache-2.0 license terms
Your stack matches TypeScript
You evaluated both and unbody fits your workflow better

full unbody 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 unbody

Unbody (archived) This repository is archived and no longer actively maintained. Unbody started as an open source project to build the Supabase of the AI era. That vision has evolved. We now build under Unbody Labs — shipping focused tools and products for the AI world. Our most active and direct continuation of Unbody's mission is Adapt . → Adapt Adapt is a lightweight ( Original setup instructions Prerequisites Node.js LTS (20 or 22) Docker and Docker Compose yarn (npm won't install dependencies correctly) OpenAI API key Installation Environment Setup Running the Application Create Your First Project Add a…

read the full unbody overview →

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Frequently asked questions

Is llama.cpp or unbody more popular?

llama.cpp has 133,181 GitHub stars and unbody has 524. llama.cpp has the larger community by that measure.

Are llama.cpp and unbody free?

Both are open source. llama.cpp is licensed under MIT and unbody under Apache-2.0. Neither carries a licence fee.

What is the difference between llama.cpp and unbody?

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

Choose llama.cpp if you want the larger community (133,181 stars) or its MIT licence terms. Choose unbody if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.