head to head · open source

llama.cpp vs endee

llama.cpp has 128,619 GitHub stars, 23,351 forks, 2,464 open issues and last shipped today. endee has 1,297 stars, 1,650 forks, 31 open issues and last shipped 2 months ago. llama.cpp leads on adoption by 9,817% (128,619 vs 1,297 stars). llama.cpp is written in C++ under MIT; endee is written in C++ under AGPL-3.0. llama.cpp has attracted 18% as many forks as stars, endee 127%. 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 endee ★ 1.3K category AI & Machine Learning

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Side by side

	llama.cpp	endee
GitHub stars	★ 129K	★ 1.3K
License	MIT	AGPL-3.0
Written in	C++	C++
Last push	2026-09-18	2026-07-29
Forks	⑂ 23K	⑂ 1.6K
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 endee if

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

full endee 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 endee

High performance AI Search & Intelligence platform for AI search, RAG, semantic search, and hybrid retrieval. Quick Start • Why Endee • Use Cases • Features • API and Clients • Docs • Contact Endee: AI Search & Intelligence Platform Endee is a high performance AI Search & Intelligence platform built for AI search and retrieval workloads. It is designed for teams building RAG pipelines , semantic search , hybrid search , recommendation systems, and filtered vector retrieval APIs that need production oriented performance and control. Endee combines vector search with filtering, sparse retrieval support, backup work…

read the full endee overview →

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Frequently asked questions

Is llama.cpp or endee more popular?

llama.cpp has 128,619 GitHub stars and endee has 1,297. llama.cpp has the larger community by that measure.

Are llama.cpp and endee free?

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

What is the difference between llama.cpp and endee?

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

Choose llama.cpp if you want the larger community (128,619 stars) or its MIT licence terms. Choose endee if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.