Page Assist

Purpose: Using local AI models to summarize, analyze, and interact with web pages without sending browsing data to hosted AI services.

Inferred · not functionally tested

Audience: privacy-conscious web users and developers running local AI models

Inferred · not functionally tested

Functions: rag, browser_automation

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: unknown · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: free · license: Proprietary · platforms: WEB · deployment: browser, embeddable, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: github.com · addons.mozilla.org · chromewebstore.google.com. These links do not verify the individual claims.

In the Browser DevTools & extensions space, Page Assist takes a focused approach. Inferred · not functionally tested: It focuses on using local AI models to summarize, analyze, and interact with web pages without sending browsing data to hosted AI services. Inferred · not functionally tested: Page Assist is an open-source project aimed at privacy-conscious web users and developers running local AI models. Basis unknown · not verified: Page Assist costs nothing to use. Basis unknown · not verified: Page Assist is available on the web and embeddable surfaces, and it can be self-hosted.

It is developed by n4ze3m, and it first shipped in 2024. Inferred · not functionally tested: Key capabilities include browser sidebar, local model support, and web page interaction.

Summary written by a language model from the project’s public pages.