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Tabbit AI

Tabbit AI

AI

An agentic AI browser for macOS and Windows where tabs, files and highlights become context for multi-agent workflows driven by site-specific skills.

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Starting from Free
Premium plans available
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About Tabbit AI

Tabbit is an AI-native desktop browser that treats everything on screen as usable context: tabs, PDFs, bookmarks, local files, screenshots and highlighted page elements can all be dropped into an agent that reads, plans and runs. Rather than one general assistant, it runs specialised agents in parallel, a Research agent that reads papers, an Operator that runs crawlers, a Writer that drafts and an Analyst that crunches data, each loaded with the skills relevant to the site in front of it. Roughly 2,000 agentic skills target the top 100 sites people use daily, covering YouTube, Bilibili, ChatGPT, Substack, arXiv, PubMed, Reddit, GitHub and Gmail, and users can author their own or turn a recurring prompt into a reusable skill. Tabbit adds new frontier models within about twelve hours of release and routes each prompt only to the provider the user selected, on servers in Singapore or the user's own region, with the model name always shown so the destination is verifiable. History, bookmarks, highlights and chats are encrypted on the device, the browser is free forever with a weekly AI allowance, and it imports history, bookmarks, extensions and settings from Safari, Edge or Chrome in one click.

Screenshots

Tabbit AI screenshot 1
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Tabbit AI screenshot 2
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Key Features

Context From Anything: Tabs, PDFs, bookmarks, local files, screenshots, closed-tab history and highlighted page elements can all be attached to a prompt with an @ mention, and the agent reads, plans and executes against them.
Parallel Multi-Agent Roles: Research, Operator, Writer and Analyst agents run as distinct roles loaded with the right skills, so reading papers, running crawlers, drafting and data work happen side by side rather than in one generic chat.
2,000 Site-Specific Skills: Prebuilt agentic skills target the top 100 daily-use sites, including feed triage and highlight reels on YouTube and Bilibili, cross-thread search and Markdown export for ChatGPT, PR explanation and test-gap finding on GitHub, and PRISMA-grade tracking for medical literature.
Day-One Model Coverage: Tabbit supports nearly every major model and says new releases go live within twelve hours, spanning frontier Western models and Chinese models such as Kimi, GLM, DeepSeek, Doubao, Qwen, MiniMax and LongCat.
Custom Skill Authoring: Recurring power prompts can be pinned as reusable skills invoked with a slash command, and creators can submit skills to the wider library.
Academic Research Tooling: One-click saving from arXiv, Nature and PubMed with full PDF and metadata, SVM-ranked daily arXiv feeds based on reading history, table extraction to TSV across papers, cited library-wide Q&A, and a PMC-to-Unpaywall-to-preprint cascade for finding free PDFs.
On-Device Privacy: Highlights, chats, saved pages, history and bookmarks are encrypted on the machine; Tabbit states it does not relay, log or mirror conversations, and its controls are independently examined under SOC 2 Type I.
One-Click Migration: History, bookmarks, extensions and settings transfer from Safari, Edge or Chrome in a single step, with background updates thereafter.

Use Cases

Podcast and Newsletter Research: Sift large volumes of source material by pulling quotes, timestamps and book references from long podcasts and deduplicating every subscription into one daily digest.
Academic Literature Review: Run one query across PubMed, bioRxiv and medRxiv, track found, screened and eligible counts to systematic-review standards, and ask cited questions across every saved paper.
Code Review Support: Have the browser read a 47-file pull request, explain the diff in plain English with repository awareness, flag breaking changes the test suite missed and map untested code paths to file and line.
Discussion Mining: Surface the load-bearing disagreements under a long comment thread, visualise where consensus breaks and export the takes worth keeping as clean Markdown.
Video Content Repurposing: Auto-cut a two-hour stream into a short reel, download in HD with chapters and subtitles, and live-translate subtitles while watching.
Inbox and Subscription Housekeeping: Rank threads where someone is waiting on a reply, detect every paid subscription from email receipts and batch-unsubscribe from marketing lists.
Personal Knowledge Base: Drop videos and articles into Notion or Obsidian with a TLDR and full transcript, and export ChatGPT conversations to Markdown you own.

Frequently asked questions about Tabbit AI

What is Tabbit AI?

An agentic AI browser for macOS and Windows where tabs, files and highlights become context for multi-agent workflows driven by site-specific skills.

How does Tabbit AI work?

Tabbit AI works by combining Context From Anything: Tabs, PDFs, bookmarks, local files, screenshots, closed-tab history and highlighted page elements can all be attached to a prompt with an @ mention, and the agent reads, plans and executes against them., Parallel Multi-Agent Roles: Research, Operator, Writer and Analyst agents run as distinct roles loaded with the right skills, so reading papers, running crawlers, drafting and data work happen side by side rather than in one generic chat., 2,000 Site-Specific Skills: Prebuilt agentic skills target the top 100 daily-use sites, including feed triage and highlight reels on YouTube and Bilibili, cross-thread search and Markdown export for ChatGPT, PR explanation and test-gap finding on GitHub, and PRISMA-grade tracking for medical literature., Day-One Model Coverage: Tabbit supports nearly every major model and says new releases go live within twelve hours, spanning frontier Western models and Chinese models such as Kimi, GLM, DeepSeek, Doubao, Qwen, MiniMax and LongCat., Custom Skill Authoring: Recurring power prompts can be pinned as reusable skills invoked with a slash command, and creators can submit skills to the wider library. to help users with Podcast and Newsletter Research: Sift large volumes of source material by pulling quotes, timestamps and book references from long podcasts and deduplicating every subscription into one daily digest., Academic Literature Review: Run one query across PubMed, bioRxiv and medRxiv, track found, screened and eligible counts to systematic-review standards, and ask cited questions across every saved paper., Code Review Support: Have the browser read a 47-file pull request, explain the diff in plain English with repository awareness, flag breaking changes the test suite missed and map untested code paths to file and line., Discussion Mining: Surface the load-bearing disagreements under a long comment thread, visualise where consensus breaks and export the takes worth keeping as clean Markdown., Video Content Repurposing: Auto-cut a two-hour stream into a short reel, download in HD with chapters and subtitles, and live-translate subtitles while watching..

What are the main features of Tabbit AI?

Key features include Context From Anything: Tabs, PDFs, bookmarks, local files, screenshots, closed-tab history and highlighted page elements can all be attached to a prompt with an @ mention, and the agent reads, plans and executes against them., Parallel Multi-Agent Roles: Research, Operator, Writer and Analyst agents run as distinct roles loaded with the right skills, so reading papers, running crawlers, drafting and data work happen side by side rather than in one generic chat., 2,000 Site-Specific Skills: Prebuilt agentic skills target the top 100 daily-use sites, including feed triage and highlight reels on YouTube and Bilibili, cross-thread search and Markdown export for ChatGPT, PR explanation and test-gap finding on GitHub, and PRISMA-grade tracking for medical literature., Day-One Model Coverage: Tabbit supports nearly every major model and says new releases go live within twelve hours, spanning frontier Western models and Chinese models such as Kimi, GLM, DeepSeek, Doubao, Qwen, MiniMax and LongCat., Custom Skill Authoring: Recurring power prompts can be pinned as reusable skills invoked with a slash command, and creators can submit skills to the wider library..

Who is Tabbit AI for?

Tabbit AI is useful for anyone interested in Podcast and Newsletter Research: Sift large volumes of source material by pulling quotes, timestamps and book references from long podcasts and deduplicating every subscription into one daily digest., Academic Literature Review: Run one query across PubMed, bioRxiv and medRxiv, track found, screened and eligible counts to systematic-review standards, and ask cited questions across every saved paper., Code Review Support: Have the browser read a 47-file pull request, explain the diff in plain English with repository awareness, flag breaking changes the test suite missed and map untested code paths to file and line., Discussion Mining: Surface the load-bearing disagreements under a long comment thread, visualise where consensus breaks and export the takes worth keeping as clean Markdown., Video Content Repurposing: Auto-cut a two-hour stream into a short reel, download in HD with chapters and subtitles, and live-translate subtitles while watching..

How much does Tabbit AI cost?

Tabbit AI offers a free tier with paid plans for advanced features.

How do I get started with Tabbit AI?

Visit https://www.tabbit.ai/ to sign up and explore Tabbit AI.

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