head to head · open source

llama.cpp vs LongMemory

llama.cpp has 128,581 GitHub stars, 23,334 forks, 2,464 open issues and last shipped yesterday. LongMemory has 4,502 stars, 504 forks, 19 open issues and last shipped 4 days ago. llama.cpp leads on adoption by 2,756% (128,581 vs 4,502 stars). llama.cpp is written in C++ under MIT; LongMemory is written in TypeScript under Apache-2.0. llama.cpp has attracted 18% as many forks as stars, LongMemory 11%. 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 LongMemory ★ 4.5K category AI & Machine Learning

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Side by side

	llama.cpp	LongMemory
GitHub stars	★ 129K	★ 4.5K
License	MIT	Apache-2.0
Written in	C++	TypeScript
Last push	2026-09-17	2026-09-14
Forks	⑂ 23K	⑂ 504
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 LongMemory if

You want the LongMemory 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 LongMemory fits your workflow better

full LongMemory 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 LongMemory

LongMemory is a local first, self hosted cognitive memory engine for LLM applications and autonomous agents that gives stateless models durable, temporal, governed recall, written in TypeScript under the Apache 2.0 licence and aimed at developers building agent hosts, automation tools, and RAG style pipelines.

read the full LongMemory overview →

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Frequently asked questions

Is llama.cpp or LongMemory more popular?

llama.cpp has 128,581 GitHub stars and LongMemory has 4,502. llama.cpp has the larger community by that measure.

Are llama.cpp and LongMemory free?

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

What is the difference between llama.cpp and LongMemory?

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

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