head to head · open source
llama.cpp vs MineContext
llama.cpp has 133,181 GitHub stars, 25,063 forks, 2,464 open issues and last shipped yesterday. MineContext has 5,541 stars, 413 forks, 121 open issues and last shipped 6 months ago. llama.cpp leads on adoption by 2,304% (133,181 vs 5,541 stars). llama.cpp is written in C++ under MIT; MineContext is written in Python under Apache-2.0. llama.cpp has attracted 19% 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.
← all 20902 open source comparisons
Side by side
| llama.cpp | MineContext | |
|---|---|---|
| GitHub stars | ★ 133K | ★ 5.5K |
| License | MIT | Apache-2.0 |
| Written in | C++ | Python |
| Last push | 2026-11-02 | 2026-05-07 |
| Forks | ⑂ 25K | ⑂ 413 |
| 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 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
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 MineContext
MineContext: Create with Context, Clarity from Chaos An open source, proactive context aware AI partner, dedicated to bringing clarity and efficiency to your work, study and creation. 中文 / English Community Best Practice · Report Issues · Feedback [![][release shield]][release link] [![][github stars shield]][github stars link] [![][github issues shield]][github issues shield link] [![][github contributors shield]][github contributors link] [![][license shield]][license shield link] [![][last commit shield]][last commit shield link] [![][wechat shield]][wechat shield link] 👋 Join our WeChat / Lark / Red Note…
read the full MineContext overview →
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is llama.cpp or MineContext more popular?
llama.cpp has 133,181 GitHub stars and MineContext has 5,541. 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 (133,181 stars) or its MIT licence terms. Choose MineContext if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.