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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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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4 of 37 apps matching your filters

Open WebUI

Chat UI
★ 4.8
Fully offline

The default chat UI for solo Ollama users. Multi-model, built-in RAG, web search, Docker-friendly.

“Best default chat UI for solo Ollama users. Pick this first; switch only if you outgrow it.”

ollamaopenai-compat
Free· 4GB+ VRAM
★ 56.0k

Jan

Chat UI
★ 4.5
Fully offline

Privacy-first desktop chat with a curated model catalog. Llama / Mistral / Qwen one click from the app.

“Best one-binary desktop chat. Curated catalog removes 'which model?' decision paralysis.”

llama-cppollamaopenai-compat
Free· 4GB+ VRAM
★ 28.0k

AnythingLLM

Chat UI
★ 4.5
Hybrid (offline or cloud)

Docs-aware chat with workspaces. Drop a folder of PDFs, get a working RAG chatbot in 5 minutes.

“Best fast-RAG app. Workspace model is the right abstraction for doc-corpora chat.”

ollamalm-studioopenai-compat
Free· 8GB+ VRAM
★ 34.0k

LibreChat

Chat UI
★ 4.4
Hybrid (offline or cloud)

Open-source clone of the ChatGPT UI with multi-provider routing. Local + cloud in one interface.

“Best if you mix local + cloud models in the same workflow. Strong team features.”

ollamaopenai-compatanthropicgemini
Free· 4GB+ VRAM
★ 22.0k

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.