Private AutoGPT Robot - Your private task assistant with GPT!

• 🔥 Chat to your offline LLMs on CPU Only. 100% private, no data leaves your execution environment at any point.
• 🔥 Ask questions to your documents without an internet connection. Engine developed based on PrivateGPT.
• 🔥 Automate tasks easily with PAutoBot plugins. Easy for everyone.
• 🔥 Easy coding structure with Next.js and Python. Easy to understand and modify.
• 🔥 Built with LangChain, GPT4All, LlamaCpp, Chroma, SentenceTransformers, PrivateGPT.

The supported extensions are:

• .csv: CSV,
• .docx: Word Document,
• .doc: Word Document,
• .enex: EverNote,
• .eml: Email,
• .epub: EPub,
• .html: HTML File,
• .md: Markdown,
• .msg: Outlook Message,
• .odt: Open Document Text,
• .pdf: Portable Document Format (PDF),
• .pptx : PowerPoint Document,
• .ppt : PowerPoint Document,
• .txt: Text file (UTF-8),

• Python 3.8 or higher.
• Install PAutoBot:

pip install pautobot

To install a C++ compiler on Windows 10/11, follow these steps:

1. Install Visual Studio 2022.
2. Make sure the following components are selected:
   • Universal Windows Platform development
   • C++ CMake tools for Windows
3. Download the MinGW installer from the MinGW website.
4. Run the installer and select the gcc component.

When running a Mac with Intel hardware (not M1), you may run into clang: error: the clang compiler does not support '-march=native' during pip install.

If so set your archflags during pip install. eg: ARCHFLAGS="-arch x86_64" pip3 install -r requirements.txt

• Run the app:

python -m pautobot.app

• Go to http://localhost:5678/ to see the user interface. You can choose one of the two modes:
  • Chat
  • Chat + QA
• Upload some documents to the app (see the supported extensions above).
• Ingest documents with Ingest Data button.

• Python 3.8 or higher.
• Install the dependencies:

pip install -r requirements.txt

• Run the app:

python -m pautobot.app

• Go to http://localhost:5678/ to see the user interface.

• Install the dependencies:

cd frontend
npm install

• Run the app:

npm run dev

• Go to http://localhost:3000/ to see the user interface. Use this address to develop the frontend.