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vignshwarar

AI-Employe

Create browser automation as if you were teaching a human using GPT-4 Vision.

ApplicationsProductivityTypeScript
Open on GitHub
Momentum
+0stars in 24 hours0.0%
583
Stars
52
Forks
+-1
This week
1
Contributors
Created 2023-12-21 · Updated 2026-10-13 · #16591 today
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vignshwarar

vignshwarar/AI-Employe is ranked 16,591 with 583 stars.

Same-category comparison

vignshwarar/AI-Employe is ranked 16,591 among these 8 peers; agentic-in/elephant-agent is ranked 16,595.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguageTypeScript
CategoryApplications
SubcategoryProductivity
KeywordsAutomation, Browser
Stars583
Forks52
Contributors1
Created date2023-12-21
Updated date2026-10-13
Stars in 1 day0
Stars in 7 days-1
Rank16,591
Previous rank16,382
Rank change-209
7-day stars rank17,914
Previous 7-day stars rank17,861
7-day stars rank change-53
Total stars rank17,174
Previous total stars rank17,146
Total stars rank change-28
CountryFrance
README summary

Install Try without Firebase authentication (temporary solution): Our stack consists of Next. js, Rust, Postgres, MeiliSearch, and Firebase Auth for authentication. Please sign up for a Firebase account and create a project. In Firebase, navigate to Project settings -> Service accounts, generate a private key, and save it inside if it's for development or prod. After that, make sure you install the dependencies before starting the app. env file with your credentials Run Run Run (for development) Run (for production) Run

(for production) Once you have run 'dev' or 'build', you will find the extension built inside the folder. You can then load this folder as an unpacked extension in your browser. How it Works There are several problems with current browser agents. Here, we explain the problems and how we have solved them. Problem 1: Finding the Right Element There are several techniques for this, ranging from sending a shortened form of HTML to GPT-3, creating a bounding box

with IDs and sending it to GPT-4-vision to take actions, or directly asking GPT-4-vision to obtain the X and Y coordinates of the element. However, none of these methods were reliable; they all led to hallucinations. To address this, we developed a new technique where we index the entire DOM in MeiliSearch, allowing GPT-4-vision to generate commands for which element's inner text to click, copy, or perform other actions. We then search the index

with the generated text and retrieve the element ID to send back to the browser to take action. There are a few limitations here, but we have implemented some techniques to overcome them, such as dealing with the same text in multiple elements or clicking on an icon (we are still working on this). Problem 2: GPT Derailing from Workflow To prevent GPT from derailing from tasks, we use a technique that is akin to retrieval-augmented generation, but we

kind of call it Actions Augmented Generation. Essentially, when a user creates a workflow, we don't record the screen, microphone, or camera, but we do record the DOM element changes for every action (clicking, typing, etc. We then use the workflow title, objective, and recorded actions to generate a set of tasks. Whenever we execute a task, we embed all the actions the user took on that particular domain with the prompt. This way, GPT stays on track with the

task, even if the user has not provided a very brief title and objective; their actions will guide GPT to complete the task. Roadmap [x] Workflows [x] Chat with what you see [ ] More actions support scrolling, opening links in a new tab, etc. [ ] Loop in workflows [ ] Clever Tab management [ ] Share workflows [ ] Open source models support [ ] Community shared workflows [ ] Cloud version of AI Employe [ ] Control browser by text [ ] Control browser by voice [ ] more to come.

Frequently asked questions

How many stars and forks are recorded?

vignshwarar/AI-Employe has 583 stars and 52 forks.

What is the repository rank?

vignshwarar/AI-Employe is ranked 16,591.

What language and category are recorded?

vignshwarar/AI-Employe has 583 stars, uses TypeScript and belongs to Applications.

Which repository is closest in rank?

vignshwarar/AI-Employe is compared with agentic-in/elephant-agent, ranked 16,595 with 582 stars.

README

Install

Try without Firebase authentication (temporary solution): https://github.com/vignshwarar/AI-Employe/issues/2#issuecomment-1880328518

Our stack consists of Next.js, Rust, Postgres, MeiliSearch, and Firebase Auth for authentication. Please sign up for a Firebase account and create a project.

In Firebase, navigate to Project settings -> Service accounts, generate a private key, and save it inside firebaseAdmin/cert/dev.json if it's for development or prod.json if it's for production.

After that, make sure you install the dependencies before starting the app.

  • Copy the the .env.sample file to .env.production or .env.development
  • Fill the .env file with your credentials
  • Run npm install
  • Run npm run db:deploy
  • Run npm run dev (for development)
  • Run npm run build (for production)
  • Run npm run start (for production)

Once you have run 'dev' or 'build', you will find the extension built inside the ./client/extension/build folder. You can then load this folder as an unpacked extension in your browser.

How it Works

There are several problems with current browser agents. Here, we explain the problems and how we have solved them.

Problem 1: Finding the Right Element

There are several techniques for this, ranging from sending a shortened form of HTML to GPT-3, creating a bounding box with IDs and sending it to GPT-4-vision to take actions, or directly asking GPT-4-vision to obtain the X and Y coordinates of the element. However, none of these methods were reliable; they all led to hallucinations.

To address this, we developed a new technique where we index the entire DOM in MeiliSearch, allowing GPT-4-vision to generate commands for which element's inner text to click, copy, or perform other actions. We then search the index with the generated text and retrieve the element ID to send back to the browser to take action. There are a few limitations here, but we have implemented some techniques to overcome them, such as dealing with the same text in multiple elements or clicking on an icon (we are still working on this).

Problem 2: GPT Derailing from Workflow

To prevent GPT from derailing from tasks, we use a technique that is akin to retrieval-augmented generation, but we kind of call it Actions Augmented Generation. Essentially, when a user creates a workflow, we don't record the screen, microphone, or camera, but we do record the DOM element changes for every action (clicking, typing, etc.) the user takes. We then use the workflow title, objective, and recorded actions to generate a set of tasks. Whenever we execute a task, we embed all the actions the user took on that particular domain with the prompt. This way, GPT stays on track with the task, even if the user has not provided a very brief title and objective; their actions will guide GPT to complete the task.

Roadmap

  • [x] Workflows
  • [x] Chat with what you see
  • [ ] More actions support scrolling, opening links in a new tab, etc.
  • [ ] Loop in workflows
  • [ ] Clever Tab management
  • [ ] Share workflows
  • [ ] Open source models support
  • [ ] Community shared workflows
  • [ ] Cloud version of AI Employe
  • [ ] Control browser by text
  • [ ] Control browser by voice
  • [ ] more to come...
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