This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
LocalMode is an open-source (MIT) toolkit for running AI entirely in the browser: LLM chat over 76 models, RAG, speech, and vision. No servers, no API keys, and data never leaves the device. WebGPU with a WebAssembly fallback; works offline.
I built LocalMode because "AI in your app" almost always means shipping your users' data to someone else's servers, wiring up API keys, and paying per token. I wanted the opposite: AI that runs entirely in the browser, where the data never leaves the device.
LocalMode is an open-source (MIT) toolkit for exactly that:
• LLM chat over 76 models across 5 runtimes (Transformers.js, WebLLM, wllama, LiteRT, MediaPipe) + Chrome Built-in AI • RAG and vector search - embeddings, a vector DB, and semantic search • Speech - Whisper speech-to-text and Kokoro text-to-speech (29 voices) • Vision - image classification, object detection, and CLIP image search • A zero-dependency core, 64 React hooks, and a shadcn UI registry of 107 components + 36 installable blocks • Runs on WebGPU with a WebAssembly fallback, and works offline after the first model download
No servers. No API keys. No telemetry. It's MIT-licensed and the whole thing is copy-owned - install a block with the shadcn CLI and you own the .tsx.
LocalMode looks great, been wanting something like this for a while. One thing that would help me a lot is a simple way to share or export my chat history and indexed docs, maybe as a single zip or encrypted bundle, so I can move setups between devices without redoing everything from scratch.
About LocalMode on Product Hunt
“Run AI in your browser - no servers, no API keys”
LocalMode was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #48 on the daily leaderboard. LocalMode is an open-source (MIT) toolkit for running AI entirely in the browser: LLM chat over 76 models, RAG, speech, and vision. No servers, no API keys, and data never leaves the device. WebGPU with a WebAssembly fallback; works offline.
LocalMode was featured in Open Source (68.6k followers), Developer Tools (515.9k followers), Artificial Intelligence (473.7k followers), GitHub (41.3k followers) and Vercel Day (26 followers) on Product Hunt. Together, these topics include over 223.1k products, making this a competitive space to launch in.
Who hunted LocalMode?
LocalMode was hunted by LocalMode AI. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how LocalMode stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
LocalMode AI
Hey Product Hunt 👋
I built LocalMode because "AI in your app" almost always means shipping your users' data to someone else's servers, wiring up API keys, and paying per token.
I wanted the opposite: AI that runs entirely in the browser, where the data never leaves the device.
LocalMode is an open-source (MIT) toolkit for exactly that:
• LLM chat over 76 models across 5 runtimes (Transformers.js, WebLLM, wllama, LiteRT, MediaPipe) + Chrome Built-in AI
• RAG and vector search - embeddings, a vector DB, and semantic search
• Speech - Whisper speech-to-text and Kokoro text-to-speech (29 voices)
• Vision - image classification, object detection, and CLIP image search
• A zero-dependency core, 64 React hooks, and a shadcn UI registry of 107 components + 36 installable blocks
• Runs on WebGPU with a WebAssembly fallback, and works offline after the first model download
No servers. No API keys. No telemetry. It's MIT-licensed and the whole thing is
copy-owned - install a block with the shadcn CLI and you own the .tsx.
Try the live blocks (chat, RAG, vision, voice - all running in your tab): 👉 https://localmode.ai/blocks
UI Components: https://localmode.ai
Docs: https://localmode.dev
GitHub: https://github.com/LocalMode-AI/...
I'd love feedback on which capability you'd reach for first, and what's missing.
Happy to answer anything in the comments today 🙏