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fuji web

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Basic Information

Fuji-Web is a browser extension that acts as an AI partner to understand user intent, autonomously navigate websites, and execute web tasks on the user’s behalf while narrating each action. The project provides a ready-to-install extension and source code that users can build from, and it supports sending prompts directly to selected LLM APIs so the extension does not collect or upload browsing content. Users install the extension, paste an OpenAI or Anthropic API key into the sidepanel, navigate to a page, and ask Fuji-Web to perform a task. The README points to a demo and a technical blog post for examples and benchmarks. The repository includes developer instructions for building and running the extension using Node and pnpm and troubleshooting and contribution guidance.

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App URL
https://github.com/normal-computing/fuji-web
Github Repository
https://github.com/normal-computing/fuji-web/blob/main/README.md

App Details

Features
Fuji-Web exposes an in-browser sidepanel extension that accepts natural language tasks and then autonomously interacts with web pages to complete them while explaining each step. It supports using OpenAI and Anthropic API keys stored locally in the browser and sends prompts directly to the chosen API. The README documents easy installation of a prebuilt extension and build-from-source instructions including Node and pnpm commands and how to load the built dist folder into Chrome. The project includes a demo, a troubleshooting guide, a contribution guide, and a roadmap that mentions future API exposure for automation frameworks, more complex cross-tab workflows, richer browsing behaviors, workflow saving/sharing, and a collaborative knowledge base.
Use Cases
Fuji-Web reduces repetitive manual web interactions by letting users describe tasks in natural language and having the extension perform clicks, navigation, and form interactions autonomously. It provides transparency by explaining each action it takes and keeps API keys in-browser to avoid sending them to third parties. For end users, it offers a quick way to accomplish web-based chores with a single command and a visible activity trace. For developers, it is a buildable extension with clear dev scripts and a roadmap toward integrations with browser automation tools, making it a foundation for building richer browser automation workflows or integrating LLM-driven actions into existing automation stacks.

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