head to head · open source
LocalAI vs ome
LocalAI has 50,187 GitHub stars, 4,574 forks, 201 open issues and last shipped yesterday. ome has 523 stars, 106 forks, 134 open issues and last shipped 2 days ago. LocalAI leads on adoption by 9,496% (50,187 vs 523 stars). LocalAI is written in Go under MIT; ome is written in Go under Apache-2.0. LocalAI has attracted 9% as many forks as stars, ome 20%. LocalAI was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (llama, 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
| LocalAI | ome | |
|---|---|---|
| GitHub stars | ★ 50K | ★ 523 |
| License | MIT | Apache-2.0 |
| Written in | Go | Go |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 4.6K | ⑂ 106 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LocalAI if
- You weight community size — 50K stars and counting
- You want the MIT license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick ome if
- You want the ome feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Go
- You evaluated both and ome fits your workflow better
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 →
About ome
OME (Open Model Engine) — Kubernetes Operator for LLM Serving What is OME? OME (Open Model Engine) is a Kubernetes operator for enterprise grade management and serving of Large Language Models (LLMs). It optimizes the deployment and operation of LLMs by automating model management, intelligent runtime selection, efficient resource utilization, and sophisticated deployment patterns. Read the documentation to learn more about OME capabilities and features. Features Overview Model Management: Models are first class citizen custom resources in OME. Sophisticated model parsing extracts architecture, parameter count…
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Frequently asked questions
Is LocalAI or ome more popular?
LocalAI has 50,187 GitHub stars and ome has 523. LocalAI has the larger community by that measure.
Are LocalAI and ome free?
Both are open source. LocalAI is licensed under MIT and ome under Apache-2.0. Neither carries a licence fee.
What is the difference between LocalAI and ome?
LocalAI is written in Go and ome 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, LocalAI or ome?
Choose LocalAI if you want the larger community (50,187 stars) or its MIT licence terms. Choose ome if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.