A frictionless way to turn your browser LLM sessions into Cursor context

Showcase Built for Cursor
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Hey everyone,

If you’re like me, your workflow looks like this: you spend 20 minutes debugging a complex architectural or data schema issue in a browser LLM (Claude, ChatGPT, DeepSeek), get to a solid implementation roadmap, and then want to bring that entire context into Cursor to actually write the code.

The problem? Directly pasting massive raw chat histories into Cursor Composer or chat absolutely destroys your context window and burns premium tokens on conversational fluff, redundant code blocks, and markdown noise.

To fix this for my own workflow, I built AI Jumper—a local-first browser extension and FastAPI companion backend designed to bridge the gap between browser chats and your IDE

How it handles context for Cursor: Instead of manually selecting, copying, and scrubbing text, you click a single “Share Memory” gradient button in your extension dashboard . It generates a beautifully structured Markdown snippet containing a Gemini-summarized Table of Contents (TOC) alongside an authenticated dynamic context endpoint link. Dropping this directly into Cursor gives the IDE a highly compressed, token-efficient map of the conversation logic without the token bloat.

The Tech Stack under the hood:

  • Local-First Frontend: Extension V3 using a passive MutationObserver to safely extract and store chats across platforms client-side inside IndexedDB via Dexie.js (instant cross-platform search)[cite: 1].

  • Background Scraper Hack: Modern browsers put background tabs to sleep. To index old histories, I injected a custom visibility-fix.js script to spoof the page visibility state (document.visibilityState = 'visible') inside minimized, unfocused background windows so the scraper stays active until fully scrolled.

  • Backend Stack: FastAPI + PostgreSQL featuring a round-robin GeminiRateLimiter

The extension is fully live, secure, and free. I’m trying to get this into the hands of power users to refine the IDE context-injection flow. I would love for you guys to absolutely roast the architecture, UI, or overall developer utility.

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