What is Local LLM NPC?

Local LLM NPC is an open-source framework that brings AI-powered Non-Player Characters (NPCs) to your applications using self-hosted Local Large Language Models (LLMs). Unlike cloud-dependent AI services, this project enables developers to run fully customizable and autonomous NPCs directly on their own machines — ensuring privacy, reducing latency, and eliminating recurring cloud costs.

By combining the power of local LLMs with a modular design, Local LLM NPC delivers intelligent, context-aware, and immersive NPC behavior for use in games, chatbots, virtual assistants, and experimental AI projects.

Key Features of Local LLM NPC

• Self-Hosted AI: Run advanced language models on your own hardware — no cloud API required.
• Modular NPC Architecture: Create and manage NPC personalities, memories, and decision-making with flexible components.
• Customizable Behavior: Tailor NPC responses and logic to fit any interactive use case.
• Open Source & Extensible: Built by the community — extend it with your own features or LLM backends.
• Privacy-Focused: Keep all data and AI processing local to ensure complete control over your information.
• Cross-Platform Compatibility: Easily deploy across Windows, macOS, and Linux systems.
• Pre-Built Examples: Get started quickly with ready-to-use NPC templates and sample configurations.

How to Install Local LLM NPC

Setting up Local LLM NPC is simple. Ensure you have Python 3 and the required dependencies installed, then follow the steps below:

git clone https://github.com/code-forge-temple/local-llm-npc.git
cd local-llm-npc
python3 -m venv venv
source venv/bin/activate  # On Windows use: venvScriptsactivate
pip install -r requirements.txt

After setup, make sure a local LLM backend is configured — the NPC framework depends on it to function properly.

How to Use Local LLM NPC

Once installed, you can interact with your NPCs through the command line or integrate them directly into your applications. The repository includes helpful scripts and configurations to get you started right away.

Common steps include:

• Launching an NPC instance using a predefined personality script.
• Sending user input and receiving intelligent, context-aware responses.
• Customizing NPC goals, memories, and response logic for your own projects.

Code Example

Here’s a simple example that demonstrates how to create and chat with an NPC locally:

from local_llm_npc import NPC

# Initialize an NPC with a custom personality
npc = NPC(name="Guardian", personality="calm and wise")

# Ask a question
response = npc.ask("What is the weather like today?")
print(response)

More comprehensive scripts and examples can be found inside the examples/ directory of the repository.

How to Contribute

Local LLM NPC thrives on community contributions! Here’s how you can get involved:

• Fork the repository on GitHub.
• Create a new branch for your feature or bug fix.
• Follow the contribution and coding standards in CONTRIBUTING.md.
• Submit a pull request describing your updates or improvements.

Before contributing, review the CODE_OF_CONDUCT.md to understand the project’s community guidelines.

Community & Support

Need help or want to connect with other developers? Here’s where you can engage with the Local LLM NPC community:

• GitHub Issues — for bug reports and feature requests.
• Refer to the README file for more community links and contact options.

Conclusion

Local LLM NPC represents the next step in creating intelligent, offline NPCs with full customization and control. Its modular and privacy-first architecture empowers developers to build dynamic AI-driven characters without the limitations of cloud-based AI.

Whether you’re building immersive games, AI chat interfaces, or experimental virtual worlds — Local LLM NPC provides the tools and flexibility to make it happen, all from your local environment.

Additional Resources

• Official GitHub Repository
• Full README Documentation
• Project License