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Which AI NPC platforms can run models locally or on your own servers? We compared Neocortex, NVIDIA ACE, LLMUnity, Convai, Inworld, Charisma.ai, Player2, ElevenLabs and OpenAI.

AI NPC Tools With Local AI Support - 2026 Comparison

ComparisonLocal AIAI NPCUnity

More studios are asking the same question before they commit to an AI character platform: can this run without someone else's cloud?

The reasons vary. Some want to prototype without paying per message. Some have players or clients with privacy requirements. Some remember Replica Studios shutting down in 2025 and do not want their whole pipeline to depend on one service.

We looked at nine tools developers use for AI NPCs and checked what each one supports locally as of October 2026.

The short answer

ToolLocal or on-deviceSelf-hostedEnginesCharacter editorVoice
NeocortexLocal LLMs in Unity via OllamaYes, for studiosUnity, Unreal, Godot (beta), Web APIVisual node editorTTS, STT, cloning, design
NVIDIA ACEYes, on RTX GPUsNot applicableUnreal Engine 5NoOn-device ASR and TTS
LLMUnityYes, fully offlineNot applicableUnityNoNo
ConvaiNoEnterprise on requestUnity, Unreal, webWeb dashboardYes
InworldNoNot documentedRuntime SDKsNo (Studio retired)Yes
Charisma.aiNoNot documentedUnity, Unreal, webStory graphYes
Player2NoNoUnity, Godot, DefoldNoYes
ElevenLabs AgentsNoNot documentedNo Unity SDKWorkflow builderYes
OpenAI RealtimeNoNoNo Unity SDKNoYes

Three ways to run AI characters locally

1. Fully on-device, built by you. NVIDIA ACE and LLMUnity run models on the player's hardware. ACE targets Unreal Engine 5 on RTX PCs and is a C++ toolkit; LLMUnity is an open-source Unity library for text generation. Both are strong, and both leave the character itself, its personality, voice and behaviour, for you to build.

2. Enterprise on-prem. Convai offers on-premises deployment, with images available through sales. This suits large organisations but is out of reach for most game teams.

3. A hybrid platform. This is where Neocortex sits. Design characters visually, prototype with open models running on your own machine, ship through the cloud, and move the whole platform onto your own infrastructure when a project requires it.

Why we built Neocortex for hybrid

Going fully local today means small models, a hardware floor for your players, and building the voice and character layers yourself. Going fully cloud means per-message costs and depending on someone else's servers. Most teams need both, at different stages of the same project.

Prototype locally. Our Ollama support for Unity lets you pull and run open models such as Llama, Gemma, Qwen, Mistral, Phi and DeepSeek on your own machine.

Design once. Characters are built in a visual node editor: personality, emotion, knowledge, world, intents and actions. Writers and designers can test them in the browser for free.

Ship anywhere. The same character works in Unity, Unreal, Godot and anything that can call a web API, with voice in and voice out, including Unity WebGL.

Own the stack when you need to. For studios with privacy, compliance or uptime requirements, Neocortex can run on your own infrastructure.

Which tool should you choose?

  • You are a AAA Unreal studio targeting RTX PCs with C++ engineers: evaluate NVIDIA ACE.
  • You want strictly offline text generation in Unity and will build everything else: LLMUnity.
  • You want designer-friendly, voiced characters you can prototype locally, ship in the cloud and self-host later: Neocortex.

If you need a self-hosted deployment, contact us to talk about your project.

Read the individual comparisons

All competitor details were last checked in October 2026.

Written by

Sercan Altundas

Date

Oct 17, 2026

Read time

5 min