RUNLOCALAIv38
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RUNLOCALAI · v38
← Home·/apps·Browser extension

Page Assist

Fully offline

Browser sidebar that talks to your local Ollama. Summarize pages, chat, vision support.

Editorial verdict: “Best 'sidebar AI' browser extension that's truly local-first.”

Browser extension
Free
MIT
★ 4.4 / 5
GitHub ★ 5,000
↗ GitHub

Compatibility at a glance

Which runtime + OS combos this app works against. Source of truth for "will it run on my setup?"

§ Runtimes supported
ollamaopenai-compat
§ OS / platform
browser-ext
§ Hardware + model hint
Minimum VRAM
4 GB
Recommended starter model
Llama 3.1 8B Q4_K_M
→ Build the rest of the stack with /stack-builder→ Pick a GPU for this app

What it is

For solo Ollama users who want a browser sidebar that actually talks to their local models, Page Assist is the cleanest integration available. It bridges directly to Ollama (or any OpenAI-compatible runtime) and works fully offline — no cloud account, no data leaving your machine. You can summarize the current page, paste an image at a vision model like LLaVA, or build a small knowledge base from URLs across multiple tabs. It runs as a Chrome or Firefox extension, and with a 4 GB VRAM floor, an 8B Q4_K_M model handles most tasks. The Manifest V3 Chrome rollout had some hiccups in 2024–2025, and the polish isn't at Microsoft Copilot level, but for a free, MIT-licensed tool that keeps your browsing context local, it's the best option right now.

✓ Strengths

  • +Truly local-first browser AI
  • +Multi-tab knowledge base feature
  • +Vision-model support if your local model has it

△ Caveats

  • −Manifest-V3 Chrome rollout had hiccups in 2024-2025
  • −Smaller polish than Microsoft Copilot sidebar

About the Browser extension category

Browser extension that uses your local model.

§ Other browser extension apps
Leo (Brave)

Best built-in browser AI for Brave users. Local mode is a checkbox, not a hack.

Where to go from here

Stack Builder →

Pre-filled with this app's recommended use case + budget tier. Get the full rig + runtime + model picks.

Back to /apps →

The full directory — filter by category, runtime, OS, privacy posture, or VRAM.

Runtimes (/tools) →

What this app talks to: Ollama, vLLM, llama.cpp, MLX, LM Studio. The upstream layer.

Community benchmarks →

Did this app work for you on a specific rig? Submit the benchmark — it powers the model + hardware pages.