Xybrid – run LLM and speech locally in your app (no back end, Rust)
Hi HN, We built Xybrid, a Rust library for running LLM + speech pipelines directly inside your app, no server, no daemon, just one binary. We started building it while working on a privacy-focused LLM app with Tauri and realized there wasn’t a straightforward way to embed models directly into shipped applications without relying on a separate server process. Xybrid links into your process like any other library. It supports GGUF / ONNX / CoreML and integrates with Flutter, Swift, Kotlin, Unity, and Tauri, letting you run pipelines like speech → LLM → speech in a single call. On…
Xybrid – run LLM and speech locally in your app (no back end, Rust) launched on March 18, 2026 with 6 votes, #1,631 of 23,380 launches that month and more than 75% of that year's launches.
What it does
Cross-platform on-device AI toolkit. Contribute to xybrid-ai/xybrid development by creating an account on GitHub.
In the maker’s words, at launch
Hi HN, We built Xybrid, a Rust library for running LLM + speech pipelines directly inside your app, no server, no daemon, just one binary. We started building it while working on a privacy-focused LLM app with Tauri and realized there wasn’t a straightforward way to embed models directly into shipped applications…
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- CICan I run this LLM? (locally)2025 · can-i-run-this-llm-blue.vercel.app · ▲42
One of the most frequent questions one faces while running LLMs locally is: I have xx RAM and yy GPU, Can I run zz LLM model ? I have vibe coded a simple application to help you with just that. Update: A lot of great feedback for me to improve the app. Thank you all.
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