head to head · open source

llama.cpp vs MineContext

llama.cpp has 128,581 GitHub stars, 23,334 forks, 2,464 open issues and last shipped yesterday. MineContext has 5,517 stars, 410 forks, 121 open issues and last shipped 4 months ago. llama.cpp leads on adoption by 2,231% (128,581 vs 5,517 stars). llama.cpp is written in C++ under MIT; MineContext is written in Python under Apache-2.0. llama.cpp has attracted 18% as many forks as stars, MineContext 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.

llama.cpp ★ 129K MineContext ★ 5.5K category AI & Machine Learning

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Side by side

	llama.cpp	MineContext
GitHub stars	★ 129K	★ 5.5K
License	MIT	Apache-2.0
Written in	C++	Python
Last push	2026-09-17	2026-05-07
Forks	⑂ 23K	⑂ 410
Self-hosting	Yes	Yes
Data ownership	Your server	Your server

pick llama.cpp if

You weight community size — 129K 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 MineContext if

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

full MineContext profile →

About llama.cpp

llama.cpp is a C/C++ library and set of command line tools for running large language models (LLMs) and vision language models (VLMs) locally. It enables inference without external dependencies, targeting diverse hardware including Apple Silicon, x86 CPUs, NVIDIA GPUs (via CUDA), AMD GPUs (via HIP), and other accelerators. The project lives in the ggml ecosystem, leveraging the ggml tensor computation library for low level operations and quantized model execution.

read the full llama.cpp overview →

About MineContext

MineContext is an open source, proactive context aware AI partner that watches screen activity and turns it into insights, daily and weekly summaries, to do lists, and activity records, built for people who want a local first memory layer for their working day.

read the full MineContext overview →

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Frequently asked questions

Is llama.cpp or MineContext more popular?

llama.cpp has 128,581 GitHub stars and MineContext has 5,517. llama.cpp has the larger community by that measure.

Are llama.cpp and MineContext free?

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

What is the difference between llama.cpp and MineContext?

llama.cpp is written in C++ and MineContext in Python. 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 MineContext?

Choose llama.cpp if you want the larger community (128,581 stars) or its MIT licence terms. Choose MineContext if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.