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What you can do with Jevry

Jevry is an MIT-licensed desktop browser agent (Electron, TypeScript) that carries out website tasks in plain language and reports results grounded in the visible page.

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4 use cases

  • Compare two web pages and cite each claim

    Ask Jevry to read two or more pages and return a comparison with citations to the pages it read.

    View prompt
    Use the repo michaelswissa/jevry: after starting it with npm run dev, ask the desktop app to compare the cancellation policies at <url-1> and <url-2> and cite each claim. Expect a comparison with citations; verify each cited sentence appears on the matching visible page.
  • Find a library's getting-started guide in docs

    Point Jevry at a project's public documentation site and have it navigate to the getting-started page.

    View prompt
    Use the repo michaelswissa/jevry: run npm run dev, then ask the desktop app to find the getting-started guide on <docs-url>. Expect the browser to end on that guide page; verify the page title and heading match what you asked for.
  • Collect records that match filters in a web table

    Have Jevry apply filters to a catalog or admin table and report the matching records it found.

    View prompt
    Use the repo michaelswissa/jevry: after npm run dev, ask the desktop app to find records on <table-url> matching <filter>. Expect a list of records; verify the count against the table's own total and confirm every result page was read.
  • Have Jevry play and win a 2048 game

    Ask Jevry to play a supported numeric puzzle game in the browser and report the final board state.

    View prompt
    Use the repo michaelswissa/jevry: run npm run dev, then ask the desktop app to play and win the 2048 game at <game-url>. Expect a win message with a score and move count; verify the win state appears on the visible game board.

How to use Jevry

  1. Check you have what it needs: Node.js 22.12 or newer with npm; A TypeSafe Jev API key from the official quickstart; A separate text-model connection: a locally authenticated Codex or Claude Code CLI, or an OpenAI-compatible or Anthropic API key.
  2. Open michaelswissa/jevry on GitHub and read the README and license.
  3. Run git clone https://github.com/michaelswissa/jevry.git and then cd jevry.
  4. Run npm ci, then run npm run dev to open the Electron desktop app.
  5. Enter your TypeSafe Jev API key and connect a text model in the app setup.
  6. Open the first source page, then ask Jevry to compare it with the second page and cite both.

These steps come from our top use case, Compare two web pages and cite each claim, which also has a copy-paste agent prompt.

Jevry alternatives · Best AI repos for Research

About this repo

  • Who it is forDevelopers and power users who want a visible, interruptible browser agent for research, documentation lookups, and supported web tasks, and who can set up Node.js and two model accounts.
  • Why it is hot
  • LanguageTypeScript
  • Sourcegithub.com/michaelswissa/jevry · Back to Hot repos

Requirements

  • Node.js 22.12 or newer with npm
  • A TypeSafe Jev API key from the official quickstart
  • A separate text-model connection: a locally authenticated Codex or Claude Code CLI, or an OpenAI-compatible or Anthropic API key
  • Budget for model usage, which can cost money and has no fixed per-task cost
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Questions about Jevry

What is Jevry?

Jevry is an MIT-licensed desktop browser agent (Electron, TypeScript) that carries out website tasks in plain language and reports results grounded in the visible page. It is an open-source project on GitHub: https://github.com/michaelswissa/jevry.

Who is Jevry for?

Developers and power users who want a visible, interruptible browser agent for research, documentation lookups, and supported web tasks, and who can set up Node.js and two model accounts.

What can I do with Jevry?

4 use cases so far, for example: Compare two web pages and cite each claim; Find a library's getting-started guide in docs; Collect records that match filters in a web table. Each has steps and a copy-paste agent prompt.

What do I need to run Jevry?

Node.js 22.12 or newer with npm; A TypeSafe Jev API key from the official quickstart; A separate text-model connection: a locally authenticated Codex or Claude Code CLI, or an OpenAI-compatible or Anthropic API key; Budget for model usage, which can cost money and has no fixed per-task cost.

What are alternatives to Jevry?

Other hot AI repos in Research: Scientific Agent Skills, Speaker Mem R1, DSH Council, Evo Bot, AI Engineering Course.

Is Jevry safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.