LangQueue

A Chrome extension to streamline LLM workflows on ChatGPT, Gemini, and Claude by enabling storage, insertion, and queuing of multi-modal prompt chains.

Chrome Web Store

1What does LangQueue do?

Reusing a prompt across ChatGPT, Gemini, and Claude usually means copying it into each chat. A sequence of prompts also requires waiting for each response before sending the next step.

LangQueue keeps prompts and prompt chains in a local Chrome extension library. Users can search that library from the chat composer, insert saved text and attachments, or run a sequence in the current conversation.

• Type $ in a supported chat to search saved prompts and chains. Select a prompt with Tab or a click, and edit its text from the in-page overlay.
• Press Enter while a response is generating to queue a text prompt. The queue sends it after the model becomes idle.
• Build chains with text and attachments for each step. Execution waits for the response before advancing to the next step.
• Manage the library in the popup, and import or export prompts, chains, and optional attachment data.

2Technology stack and architecture

Application Development:

• React and TypeScript for the popup, with Tailwind CSS for its interface.
• Vite and the CRXJS plugin to build the Manifest V3 extension.

Runtime Parts:

• A content script that runs inside each supported chat page, where it can interact with the document object model (DOM). It owns the overlay, queue, and chain execution.
• Site adapters that implement the DOM operations for each chat service.
• A background service worker that answers storage and search requests from the page.
• A popup that accesses the same local library through shared storage functions.

Storage:

• chrome.storage.local for prompt records, chains, and settings.
• IndexedDB, a browser database, for attachment bytes. The content script retrieves files through runtime messages in 64 KiB chunks before attaching them to the chat.

Architecture overview

Open the architecture diagram as an SVG.