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AlliHat

AlliHat

AI

A Safari sidebar extension that integrates Claude, ChatGPT, Gemini and Apple's on-device model for page-aware Q&A and browsing assistance.

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About AlliHat

AlliHat is a Safari sidebar extension that brings multiple large language models (Claude, ChatGPT, Gemini) and Apple's on-device AI into the browser for contextual assistance. It provides page-aware question answering, letting users ask about the current webpage, highlight text to get instant summaries or answers, and run an automated browsing mode that can follow links and collect information. By unifying cloud models and an on-device option in a lightweight sidebar, AlliHat aims to speed web research, provide quick inline assistance while preserving privacy options through local model usage.

Screenshots

AlliHat screenshot 1
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Key Features

Multi-Model Integration: Connects and switches between Claude, ChatGPT, Gemini, and Apple's on-device model directly from a Safari sidebar so users can compare outputs or choose a local/private model.
Page-Aware Question Answering: Understands the content of the active webpage and answers questions in context without leaving the page, enabling fast fact checks and summaries tied to the current content.
Highlight-to-Answer: Convert selected text into immediate queries or summaries — highlight any passage to get concise explanations, clarifications, or rewritten text.
Automated Browsing Mode: Can follow links and browse pages on the user's behalf to gather information, synthesize findings, and produce consolidated summaries or action items.
Inline Sidebar UI: Persistent, non-intrusive sidebar interface inside Safari that provides continuous access to assistants while keeping the browsing context visible.
Privacy-Focused Option: Supports Apple's on-device AI for local processing when users prefer to keep data off cloud models, offering a privacy-friendly workflow.
Integrates multiple providers: Claude, ChatGPT, Gemini, plus Apple's on-device model(s)
Safari sidebar UI surfacing model responses alongside pages
Page-aware question answering (use current page content as context)
Highlight text to get instant, contextual answers or summaries
Automated browsing mode that can follow links and collect context
Option to leverage on-device models for local processing / privacy
Supports switching between model providers within the sidebar

Use Cases

Web Research and Summarization: Quickly summarize long articles or research pages and obtain concise takeaways without switching apps or copying content.
Fact-Checking and Source-Based Q&A: Ask targeted questions about a page's content (e.g., verify claims, extract dates or figures) with answers grounded in the current page.
Drafting Responses with Context: Compose email replies, comments, or notes that reference specific webpage content by using the sidebar to pull relevant passages and craft text.
Information Aggregation: Use automated browsing to traverse related links, compile data from multiple pages, and produce a single consolidated report or summary.
Model Comparison and Tuning: Compare outputs from Claude, ChatGPT, Gemini, and on-device models side-by-side to choose the best phrasing or perspective for a task.
Quick Clarification while Reading: Highlight confusing paragraphs or technical passages to receive immediate, plain-language explanations without disrupting reading flow.
Research and summarization of web pages without leaving the browser
Quick inline answers by highlighting page text
Assisted browsing where the tool follows links and aggregates information
Content drafting or editing with contextual page references
Customer support or knowledge work that needs page-specific LLM assistance

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