N0x – LLM inference, agents, RAG, Python exec in browser, no back end
Built this because I was tired of every AI tool shipping my data to someone else server n0x runs the full stack LLM inference via WebGPU, autonomous ReAct agents, RAG over your own docs, sandboxed Python execution via Pyodide all inside a single browser tab. No account No keys No backend Models download once, cache in IndexedDB permanently. Biggest challenge was context window budgeting for the agent loop and making the WASM vector search non-blocking. Happy to talk architecture. GitHub: https://github.com/ixchio/n0x | Live demo: https://n0x-three.vercel.app
N0x – LLM inference, agents, RAG, Python exec in browser, no back end launched on March 18, 2026 with 9 votes, #1,237 of 23,380 launches that month and more than 75% of that year's launches.
What it does
Since launch 1: added a ReAct agent loop that runs tools (web search, Python, docs, image gen) autonomously. Hybrid RAG now uses BM25 + vector search fused with RRF + MMR reranking way better recall than vector-only. Auto-routing picks local vs cloud per message complexity. Chrome AI (Gemini Nano, zero download) works alongside WebGPU, Ollama, and any OpenAI-compatible endpoint. Persistent semantic memory across sessions. GPU-tier detection now blocks models that'd OOM your device.
Ask confidential documents questions in your browser and get filename/chunk citations. Local model, search, and cloud boundaries stay explicit.
Choose the Browser provider to keep document extraction, retrieval, prompts, and inference on your device. Local model weights download on first use; search and cloud stay off until you choose them. Customer records are retained for 30 days after account closure, then permanently deleted. Customer records are kept for 30 days after account closure, then permanently deleted. [retention-policy.pdf#chunk-3] The first-run path leads with document upload and a sample. Provider controls, web search, and memory remain available in the workbench when you need them. Nothing is silently uploaded. Browser model downloads are shown before they start, and the provider badge shows when a task leaves the…from n0xth.vercel.app
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