head to head · open source

llama.cpp vs Olares

llama.cpp has 133,181 GitHub stars, 25,063 forks, 2,464 open issues and last shipped yesterday. Olares has 5,335 stars, 332 forks, 155 open issues and last shipped yesterday. llama.cpp leads on adoption by 2,396% (133,181 vs 5,335 stars). llama.cpp is written in C++ under MIT; Olares is written in Go under AGPL-3.0. llama.cpp has attracted 19% as many forks as stars, Olares 6%. 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 Olares ★ 5.3K category AI & Machine Learning

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Side by side

	llama.cpp	Olares
GitHub stars	★ 133K	★ 5.3K
License	MIT	AGPL-3.0
Written in	C++	Go
Last push	2026-11-02	2026-11-02
Forks	⑂ 25K	⑂ 332
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 Olares if

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

full Olares 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 Olares

Olares Your AI Agent. Your Data. Your Hardware. Install Olares · Manage Olares with AI · Contribute Olares is an open source personal cloud OS you operate in plain language, built to run AI agents and LLMs on hardware you own. Powered by Kubernetes, it turns your machines into a self hosted AI platform accessible from any browser, giving everyone from individual users to small teams a unified place for compute, storage, networking, and apps. 🌟 If Olares is useful to you, consider giving the project a star. Your support encourages us to keep improving it. Why Olares Great AI needs to know you. That requires…

read the full Olares overview →

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Frequently asked questions

Is llama.cpp or Olares more popular?

llama.cpp has 133,181 GitHub stars and Olares has 5,335. llama.cpp has the larger community by that measure.

Are llama.cpp and Olares free?

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

What is the difference between llama.cpp and Olares?

llama.cpp is written in C++ and Olares in Go. 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 Olares?

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