RAG et connaissances
docuchat.app
Private document chat for attorneys: local LLMs, verifiable citations.
★ 35 étoilesMIT
Voir le guide →browsegenie est un projet de automatisation open source, créé par PushpenderIndia (PushpenderIndia/browsegenie sur GitHub). Il compte 53 étoiles sur GitHub et 8 forks, il est publié sous la licence GPL-3.0 et a été mis à jour pour la dernière fois sur GitHub le 18 septembre 2026.
Open automation for ai agent which can do any kind of browser automation ta.
Fetch the source code onto your machine.
Set up the Python environment the project needs.
Copy the sample config or env file and adjust it.
Start the app from the source directory.
Built around agentic ai for a focused workflow.
Built around ai agent for a focused workflow.
Built around autonomous agents for a focused workflow.
Built around beautifulsoup4 for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/PushpenderIndia/browsegenie.gitSet up Python dependencies.
cd browsegenie && pip install -r requirements.txtLaunch the application.
cd browsegenie && python main.pyIt aI Agent which can do any kind of Browser Automation Task & Web Scraping, just using a single prompt!, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Python, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
Private document chat for attorneys: local LLMs, verifiable citations.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.