What's my local ai?
Find the best local model for your machine
What's my local ai? launched on August 7, 2026 with 12 votes, #920 of 23,274 launches that month and more than 90% of that year's launches.
What it does
We detect your hardware right in your browser and tells you which local models to run with Ollama or LM Studio. Nothing leaves your machine.
We detect your hardware right in your browser and tell you which local models to run with Ollama or LM Studio. Nothing leaves your machine.
We'll let you know when new models or features land. No spam, unsubscribe anytime. We auto-detect what we can from your browser; everything else is a best guess. Tweak any value below to see what else could run. even the tiniest model here wants ~2 GB. double-check your numbers above? nothing smaller on the list — your pick above is the sweet spot. Local models are private by design — everything stays on your machine. A few things people actually do: Brainstorm, rewrite, or translate text with no data ever leaving your laptop. Perfect for work that isn't yours to share. Autocomplete, explain a gnarly snippet, or write a quick script — even on a plane or in a dead zone. Summarize that…from whatsmylocal.ai
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1CodeJan 2026 · github.com · ▲569Just to clarify the background a bit. This project wasn’t planned as a big standalone release at first. On January 16, Ollama added support for an Anthropic-compatible API, and I was curious how far this could be pushed in practice. I decided to try plugging local Ollama models directly into a Claude Code-style workflow and see if it would actually work end to end. Here is the release note from Ollama that made this possible: https://ollama.com/blog/claude Technically, what I do is pretty straightforward: - Detect which local models are available in Ollama. - When…
Find the best local LLM for your hardware, ranked by benchmarksMay 2026 · github.com · ▲283Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly. - Andyyyy64/whichllm
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