head to head · open source
serviette vs LocalAI
serviette has 58,732 GitHub stars, 1,547 forks, 8 open issues and last shipped yesterday. LocalAI has 50,140 stars, 4,569 forks, 201 open issues and last shipped yesterday. serviette leads on adoption by 17% (58,732 vs 50,140 stars). serviette is written in Python under MIT; LocalAI is written in Go under MIT. serviette has attracted 3% as many forks as stars, LocalAI 9%. LocalAI was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.
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
| serviette | LocalAI | |
|---|---|---|
| GitHub stars | ★ 59K | ★ 50K |
| License | MIT | MIT |
| Written in | Python | Go |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 1.5K | ⑂ 4.6K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick serviette if
- You weight community size — 59K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick LocalAI if
- You want the LocalAI feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Go
- You evaluated both and LocalAI fits your workflow better
About serviette
serviette Looking for llm app templates? All templates, cookbooks and examples are still available in full in the Pathway repository under examples/llm app . A no code, always up to date RAG server for any vector database — built on the Pathway Live Data Framework. Point serviette at a folder of documents, pick a vector database and an embedder in one YAML file, and run two commands: you get a chat and a REST API that answer from those documents and cite their sources. From then on, any change to the documents — an edit, a new file, a deletion — is reflected in the answers within seconds. serviette runs on…
read the full serviette overview →
About LocalAI
Deutsch Español français 日本語 한국어 Português Русский 中文 LocalAI is the open source AI engine. Run any model LLMs, vision, voice, image, video on any hardware. No GPU required. A small core, not a bundle. Each backend wraps a best in class engine (llama.cpp, vLLM, whisper.cpp, stable diffusion, MLX...) in its own image, pulled only when a model needs it. You install nothing you don't use. Composable by design : backends are separate and pulled on demand, so you install only what your model needs Open and extensible : load any model, or build your own backend in any language against an open interface Drop in API…
read the full LocalAI overview →
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Frequently asked questions
Is serviette or LocalAI more popular?
serviette has 58,732 GitHub stars and LocalAI has 50,140. serviette has the larger community by that measure.
Are serviette and LocalAI free?
Both are open source. serviette is licensed under MIT and LocalAI under MIT. Neither carries a licence fee.
What is the difference between serviette and LocalAI?
serviette is written in Python and LocalAI in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, serviette or LocalAI?
Choose serviette if you want the larger community (58,732 stars) or its MIT licence terms. Choose LocalAI if its feature set, stack or MIT licence fits better. Both are self-hostable.