What plugs into your local AI runtime. 37 curated apps across 12 categories — chat UIs, coding agents, RAG pipelines, voice, image, browser extensions, editor plugins, mobile + desktop, agent frameworks, productivity, SDK wrappers.
Each entry carries an honest editorial verdict — pros, cons, the runtime it works against, the minimum VRAM, and the privacy posture. Filter to your stack, jump to the detail page, ship.
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3 of 37 apps matching your filters
Native macOS app for Whisper transcription. Drag a file in, get a transcript out.
“Best Whisper desktop app on macOS. Pay once, transcribe locally forever.”
Open-source Whisper transcription with mic + file modes. Cross-platform Qt app.
“Best open-source Whisper desktop app. Cross-platform, free, less polish than MacWhisper.”
Drop-in OpenAI TTS-compatible server. Self-hosted, talks to local voice models.
“Best 'drop-in local TTS for OpenAI clients'. Bridge solution for existing pipelines.”
We curate this directory editorially — same review queue as the benchmarks feed. Open an issue with the project link and your one-line pitch for why it belongs.
Editorial review applies — same standards as the rest of the site. We won't list apps that don't actually work against a local runtime, regardless of marketing claims.
The runtime layer: Ollama, vLLM, llama.cpp, MLX, LM Studio server, ComfyUI. What apps in this directory talk to.
Tell us your use case, get a full rig recipe — runtime + models + the apps from this directory that fit your stack.
Match an app's minimum-VRAM requirement to real hardware with our price/perf comparison.
Real operator submissions on the model × hardware × app combos that work. The proof behind the editorial picks.