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Llmunity

LLMUnity is an open-source C# library that integrates large language models into Unity projects for interactive characters and dialogue. Its package includes LLM and LLMAgent components, a retrieval-augmented generation system for semantic search across data, and a backend called LlamaLib built on llama.cpp.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Llmunity — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when a Unity project needs language-model-powered character interaction or dialogue, with model setup and response handling inside the game project.

Who it is for

  • Unity game developers building conversational non-player characters or in-game dialogue.
  • Teams prototyping interactive characters and using semantic search to inform character knowledge.

Documented uses

  • Set up a language model in a Unity project using a downloaded default model or a .gguf model.
  • Create a character, define its role with a system prompt, and handle replies from C# code.
  • Search project data semantically through the included retrieval-augmented generation system.
Before you choose

Requirements & limits

The public repository identifies the project as Apache-2.0 licensed. Its README describes use as free for personal and commercial purposes. It documents installation through the Unity Asset Store or Package Manager using the Git repository URL.

  • The README describes LlamaLib as the backend, built on llama.cpp; it also mentions local operation and remote-server setups.
  • The package includes a RAG system for semantic search across data, which can be used to enhance character knowledge.
  • Model setup requires downloading a default model or loading a .gguf file; default downloads are described as several gigabytes.
  • For mobile, the README recommends models up to 1–2 billion parameters. Android setup requires IL2CPP and ARM64; iOS uses default player settings.
  • The README lists Unity 2021 LTS, 2022 LTS, 2023 and Unity 6 as tested versions; this describes the project documentation, not a compatibility guarantee.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up an LLM character in Unity

Add model and character components to a Unity project and connect them to a chat call.

Before you start

  • A Unity project
  • LLMUnity package, installed through the Unity Asset Store or Package Manager using the Git repository URL
  • A default model downloaded through the LLM component or a .gguf model

Steps

  1. Install the package through the Asset Store and Unity Package Manager, or add the repository Git URL through Package Manager.

  2. Create a GameObject and add the LLM script; download a default model or load a .gguf model.

  3. Create a character GameObject, add the LLMAgent script, and set the character role in System Prompt.

  4. Reference the LLMAgent from a project script and call Chat with a prompt, handling streamed or complete replies.

Expected outcome

A Unity character can respond to a chat prompt through the LLMAgent interface.

Guide limitations

  • Default model downloads are described as several gigabytes.
  • The README lists tested Unity versions as 2021 LTS, 2022 LTS, 2023 and Unity 6; this is not a compatibility guarantee.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
8 October 2026
Original website title
undreamai/LLMUnity · Official homepage title · retained in its source language
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