RAG・知識ベース
docuchat.app
Private document chat for attorneys: local LLMs, verifiable citations.
★ 35 スターMIT
ガイドを見る →browsegenieは、PushpenderIndiaが公開しているオープンソースの自動化プロジェクトです（GitHub: PushpenderIndia/browsegenie）。GitHubスターは53、フォークは8で、GPL-3.0ライセンスの下で公開されています。GitHubでの最終更新は2026年9月18日です。
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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LibreAIカタログに掲載された自動化プロジェクトの中で最もスターの多いもの — browsegenieが合わなかった場合に検討したい、現実的な候補リストです。
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カタログの中でbrowsegenieとスター数が近い自動化プロジェクト — 前後の棚もそのまま見て回れます。
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