head to head · open source
llama.cpp vs LongMemory
llama.cpp has 133,181 GitHub stars, 25,063 forks, 2,464 open issues and last shipped yesterday. LongMemory has 4,560 stars, 513 forks, 19 open issues and last shipped 16 days ago. llama.cpp leads on adoption by 2,821% (133,181 vs 4,560 stars). llama.cpp is written in C++ under MIT; LongMemory is written in TypeScript under Apache-2.0. llama.cpp has attracted 19% 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.
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Side by side
| llama.cpp | LongMemory | |
|---|---|---|
| GitHub stars | ★ 133K | ★ 4.6K |
| License | MIT | Apache-2.0 |
| Written in | C++ | TypeScript |
| Last push | 2026-11-02 | 2026-10-18 |
| Forks | ⑂ 25K | ⑂ 513 |
| 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 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
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 LongMemory
LongMemory Durable, temporal, governed memory for AI agents. Not just RAG. Not just a vector database. Local first and self hosted. LongMemory is a cognitive memory engine for LLM applications and autonomous agents. Durable local first storage with SQLite Immutable content, provenance, and temporal truth Strict, historical, associative, grounded, and multilingual recall Explainable evidence selection and token bounded context Governed project memory, Skills, Chat Memory, LLM Wiki, and CodeGraph One TypeScript engine across npm, CLI, HTTP, MCP, dashboard, and VS Code Native integrations for agent hosts…
read the full LongMemory overview →
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Frequently asked questions
Is llama.cpp or LongMemory more popular?
llama.cpp has 133,181 GitHub stars and LongMemory has 4,560. 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 (133,181 stars) or its MIT licence terms. Choose LongMemory if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.