head to head · open source
LocalAI vs Laminar
LocalAI has 50,187 GitHub stars, 4,574 forks, 201 open issues and last shipped yesterday. Laminar has 3,472 stars, 260 forks, 116 open issues and last shipped 2 days ago. LocalAI leads on adoption by 1,345% (50,187 vs 3,472 stars). LocalAI is written in Go under MIT; Laminar is written in TypeScript under Apache-2.0. LocalAI has attracted 9% as many forks as stars, Laminar 7%. LocalAI was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (agents, ai), 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 | Laminar | |
|---|---|---|
| GitHub stars | ★ 50K | ★ 3.5K |
| License | MIT | Apache-2.0 |
| Written in | Go | TypeScript |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 4.6K | ⑂ 260 |
| 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 Laminar if
- You want the Laminar 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 Laminar 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 Laminar
Laminar Laminar is an open source observability platform purpose built for AI agents. [x] Tracing. Docs [x] OpenTelemetry native powerful tracing SDK 1 line of code to automatically trace Vercel AI SDK, Browser Use, Stagehand, LangChain, OpenAI, Anthropic, Gemini, and more . [x] Signals. Docs [x] Describe any behavior of your agent that you want to track in plain English (e.g. "agent is stuck in a loop") [x] Laminar reads every agent run and pings you in Slack when it happens. [x] Evals. Docs [x] Unopinionated, extensible SDK and CLI for running evals locally or in CI/CD pipeline. [x] UI for visualizing evals…
read the full Laminar overview →
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Frequently asked questions
Is LocalAI or Laminar more popular?
LocalAI has 50,187 GitHub stars and Laminar has 3,472. LocalAI has the larger community by that measure.
Are LocalAI and Laminar free?
Both are open source. LocalAI is licensed under MIT and Laminar under Apache-2.0. Neither carries a licence fee.
What is the difference between LocalAI and Laminar?
LocalAI is written in Go and Laminar 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, LocalAI or Laminar?
Choose LocalAI if you want the larger community (50,187 stars) or its MIT licence terms. Choose Laminar if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.