RUNLOCALAIv38
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RUNLOCALAI

Operator-grade instrument for local-AI hardware intelligence. Hand-written verdicts. Real benchmarks. Reproducible commands.

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Some links on this site are affiliate links (Amazon Associates and other first-class retailers). When you buy through them, we earn a small commission at no extra cost to you. Affiliate links do not influence our verdicts — there are cards we rate highly that we don't have affiliate relationships with, and cards that sell well that we refuse to recommend. Read more →

SYS · ONLINEUPTIME · 100%2026 · operator-owned
RUNLOCALAI · v38
← Home·Runtimes (/tools)

>Apps directory

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.

Filter the directory

URL updates as you change filters — share or bookmark a result. All filters are server-rendered, so the page works without JS.

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2 of 37 apps matching your filters

Enchanted

Mobile app
★ 4.5
Fully offline

Native iOS / macOS Ollama client. Beautiful SwiftUI, talks to your home Ollama server.

“Best mobile Ollama client. Native SwiftUI; works against your home Ollama server.”

ollama
Free· 4GB+ VRAM
★ 6.0k

Maid

Mobile app
★ 4.0
Fully offline

Android Ollama client + on-device fallback for small models. Cross-platform Flutter.

“Best cross-platform Android-friendly Ollama client. Falls back to on-device for tiny models.”

ollamallama-cpp
Free· 2GB+ VRAM
★ 2.0k

Missing an app? Suggest one.

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.

Open a GitHub issue →Or contribute a benchmark →

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.

Where to go from here

Runtimes (/tools) →

The runtime layer: Ollama, vLLM, llama.cpp, MLX, LM Studio server, ComfyUI. What apps in this directory talk to.

Stack Builder →

Tell us your use case, get a full rig recipe — runtime + models + the apps from this directory that fit your stack.

GPU chooser →

Match an app's minimum-VRAM requirement to real hardware with our price/perf comparison.

Community benchmarks →

Real operator submissions on the model × hardware × app combos that work. The proof behind the editorial picks.