App launches

Dejo

A browser your AI agent remembers: learns a website once, then replays it with zero model calls

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MCP serverDeveloper tools2 viewslaunched Oct 23, 2026

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rohit kashyap's profile photo

rohit kashyapMaker

What improvements would make Dejo easier to integrate with your AI workflow?

About Dejo

Dejo is an open-source MCP server designed for browser automation with Claude Code, Codex, and Cursor. It learns a website in a first exploratory run, saving all steps as a trail for efficient replay without additional model calls.

On subsequent runs, Dejo replays the learned trail using one tool call, validating each page and control along the way. If a website changes, it identifies which step broke and only repairs that step, saving the fix for future runs.

Dejo stores its memory locally on your machine and does not store passwords. It supports multiple signed-in accounts simultaneously and is free under the MIT license.

How it was built with Claude

I built Dejo with Claude Code as my pair programmer, and I test it with Claude Code as the agent. Dejo itself never calls a model: your agent (Claude Code, Codex, Cursor) does the thinking, and Dejo keeps the browser and the memory.

Gallery

Dejo screenshot 1

Overview

Who is it for?

Developers and AI builders using Claude Code, Codex, or Cursor

Problem

Browser automation agents waste tokens and time by re-exploring websites for every task

Solution

Dejo learns a website once, records the browsing trail, then replays it with one tool call and zero model calls

What makes it unique

It detects and repairs only changed steps on website updates, and stores all data locally without passwords

The maker

rohit kashyap's profile photo
rohit kashyap

Maker · @rohitkashyapmrt

Details

Category

MCP server

Website

Launched

Oct 23, 2026

Platforms

WebCLI

Tech stack

browserautomationmcpopen sourcememorypython
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