Build On-Device AI Companions with the NVIDIA ACE Game Agent SDK and Unreal Engine 5 Plugins

· Source: NVIDIA Technical Blog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Gaming & Interactive Media · Depth: Intermediate, medium

Summary

NVIDIA has introduced new tools for building on-device AI characters and gameplay within Unreal Engine 5, announced at Unreal Fest 2026. This includes the NVIDIA ACE Game Agent SDK, a C/C++ agentic framework for native in-game integration, optimized for small models and NVIDIA RTX hardware. Complementing this are new NVIDIA ACE Unreal Engine 5 plugins, offering local, runtime AI models for Automatic Speech Recognition (ASR) with nemo-conformer-ctc-120m, Small Language Models (SLM) with Qwen 3.5 4B, and Text-to-Speech (TTS) using Chatterbox Turbo 350M. These plugins support both Blueprint and C++ and provide an end-to-end AI NPC pipeline. Additionally, the DLSS 4.5 Unreal Engine plugin now supports Dynamic Multi Frame Generation and Multi Frame Generation 6X Mode. Other innovations include NVIDIA Kimodo for promptable human motion and SOKRISPYMEDIA's Chalk Warfare game utilizing local AI for weapon integration.

Key takeaway

For game developers building interactive NPCs in Unreal Engine 5, NVIDIA's new ACE Game Agent SDK and plugins offer a robust, on-device solution. You can integrate real-time speech recognition, dynamic dialogue, and expressive voice synthesis directly into your projects, bypassing cloud latency and costs. Utilize the SDK's APIs for complex agent behaviors or precise inference control. Explore the DLSS 4.5 plugin for enhanced rendering performance.

Key insights

NVIDIA's new SDK and plugins enable easier, high-performance on-device AI character development in Unreal Engine 5.

Principles

Method

The NVIDIA ACE Game Agent SDK provides Agent, Chat, and RAG APIs for dynamic NPC perception, reasoning, and action. The Unreal Engine 5 plugins integrate ASR, SLM, and TTS models locally.

In practice

Topics

Best for: NLP Engineer, AI Product Manager, AI Engineer, Software Engineer, Machine Learning Engineer

Related on AIssential

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by NVIDIA Technical Blog.