head to head · open source

llama.cpp vs embedJs

llama.cpp has 133,181 GitHub stars, 25,063 forks, 2,464 open issues and last shipped yesterday. embedJs has 601 stars, 77 forks, 18 open issues and last shipped 4 months ago. llama.cpp leads on adoption by 22,060% (133,181 vs 601 stars). llama.cpp is written in C++ under MIT; embedJs is written in TypeScript under Apache-2.0. llama.cpp has attracted 19% as many forks as stars, embedJs 13%. 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 embedJs ★ 601 category AI & Machine Learning

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Side by side

	llama.cpp	embedJs
GitHub stars	★ 133K	★ 601
License	MIT	Apache-2.0
Written in	C++	TypeScript
Last push	2026-11-02	2026-06-26
Forks	⑂ 25K	⑂ 77
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 embedJs if

You want the embedJs 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 embedJs fits your workflow better

full embedJs 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 embedJs

What is EmbedJs? EmbedJs is an Open Source Framework for personalizing LLM responses. An ultimate toolkit for building powerful Retrieval Augmented Generation (RAG) and Large Language Model (LLM) applications with ease in Node.js. It segments data into manageable chunks, generates relevant embeddings, and stores them in a vector database for optimized retrieval. It enables users to extract contextual information, find precise answers, or engage in interactive chat conversations, all tailored to their own data. 📖 Documentation Comprehensive guides and API documentation are available to help you get the most out…

read the full embedJs overview →

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Frequently asked questions

Is llama.cpp or embedJs more popular?

llama.cpp has 133,181 GitHub stars and embedJs has 601. llama.cpp has the larger community by that measure.

Are llama.cpp and embedJs free?

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

What is the difference between llama.cpp and embedJs?

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

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