AI ASSISTANCE FOR UNITY GAME MAKERS

Give your AI
something
useful to do.

Bring an AI assistant into Unity, the software used to make games. Ask it to inspect your project or help make changes, choose what it can access, and review its work.

Read the getting-started guide Explore the workflow ↓

Free release candidate available. Hosted AI services require your own account and may charge usage fees. No model or inference hosting included.

KANBAN GRAPHILLUSTRATED WORKFLOW

EXAMPLE / ADD A QUEST SYSTEMA shared goal. Work with clear roles.

↳

Different agents. One connected feature.

A developer handles quest logic while another agent builds the interface. Their work comes together for integration and review.

Conceptual example · task states and assignments are illustrative

Who is it for? People making games or tools in Unity. Some Unity experience is needed; creating your own integrations requires C#.

What does it do? Connects an AI assistant to project tools, with a Kanban board to organize tasks and a graph to see how they fit together. You direct the work and check the results.

1,033 / 1,033

Offline EditMode tests passed

34 / 34

Asset Store validator checks passed

2022.3 LTS

Tested on Windows Editor · 2022.3.30f1

Candidate validation, 28 October 2026.
Not an Asset Store approval or a live-provider guarantee.

01 / ORGANIZE THE WORK

A task board.
A clearer picture.

Kanban puts work on cards so you can follow what needs doing, what an assistant is working on, and what needs review.

KANBAN / FOLLOW PROGRESS

Keep track of the work.

Give a task a clear goal, assign an assistant, and follow its progress on the board. Open a card to inspect the details and decide what needs attention.

See tasks and their current status.
See which assistant is working or waiting.
Review results and request changes when needed.

Read about the task board ↗

KANBAN GRAPH / FOLLOW CONNECTIONS

Understand what is waiting on what.

The same tasks appear as connected circles. The lines show parent and child tasks, dependencies, blockers and other associations.

Spot the task holding up other work.
Pan, zoom and arrange the view to explore it.
Double-click a task to open its details.

Explore Kanban Graph ↗

MULTI-AGENT WORKFLOWS

Give each assistant a role.

Work with multiple AI agents on the same project. Assign tasks to different assistants, choose their models and permitted tools, and follow their work together on the Kanban board.

Task dependencies help keep the work in order. You can see who is working, who is waiting, and what needs your review.

Read about multiple agents ↗

FALLBACK PROVIDERS

Have a backup ready.

Configure an ordered list of backup providers. If a request hits a supported failure, such as a timeout, rate limit or unavailable service, AIRuntime can try the next configured provider.

You choose the backups. Each needs its own working configuration, and hosted services may have separate costs.

Read about provider fallback ↗

HOW THE EXAMPLE WORKS

Give each agent a clear piece of the job.

For a quest system, one agent can work on objectives and completion logic while another handles the on-screen quest list. Integration brings those pieces together, and review checks the result.

The graph makes those relationships visible: who owns each task, what can move forward, and what is waiting for another piece.

Two views of the same work. Moving a circle in the graph changes its layout, not the task’s dependencies or execution order.

02 / TWO WAYS TO BUILD

Use it in Unity.
Build on it with code.

01 / FOR PROGRAMMERS

Build AI features of your own.

Give your own application an AI conversation and a set of tools it can use. Programmers can extend AIRuntime with C#.

Keep work running without blocking, and cancel when needed
Define the tools the AI can use
Set permissions and inspect the results
Handle service failures with retries and backup providers

See the integration shape ↗

02 / INSIDE UNITY

See the work as it happens.

Chat with an assistant inside Unity, organize its work on a task board, and see what it is doing.

Connect your chosen AI service and start a conversation
Choose what each assistant is allowed to do
Follow the work on a task board
Review generated changes before relying on them

Find the Editor tools ↗

CONNECT YOUR CHOSEN AI SERVICE

One framework.
Your choice of model service.

OpenAIOpenRouterNous PortalNVIDIA DeveloperLocal AI (Ollama)

Use a hosted AI service, or connect to a local model running on your own computer through Ollama. You supply the model and the hardware for local AI. Adapters are included; accounts, models and hosting are separate. Tool support and options vary by model and service.

DOWNLOAD / FREE RELEASE CANDIDATE

Bring AIRuntime
into your project.

Download the Unity package and start with the offline example. Connect your own AI provider when you are ready.

Download Unity package ↓

AIRuntime 1.0.0 candidate · 681 KiB · .unitypackage
Candidate prepared 28 October 2026 · Free direct download

Before you import

Tested with Unity 2022.3.30f1 on Windows Editor. Install the required Unity packages first, then use Assets → Import Package → Custom Package… and select the downloaded file.

This is a release candidate. Unity Asset Store submission is pending. Hosted AI accounts and usage are separate; no model or inference hosting is included.

Installation requirements and first steps ↗

Verify the download (SHA-256)

a3758150fbfe9de8c7021be893b8b0e5830c3afc93bdc7515e1036721aadfa7a

03 / HOW TO SET UP

Your first agent.
One step at a time.

Install AIRuntime and try the offline demo, then connect an AI service and follow a real task through the board.

Follow the setup walkthrough ↗

01
Get a free endpoint.
Create an OpenRouter key and connect a free model. The guide shows the exact Base URL, model field and a first connection test.
Connect OpenRouter ↗
02
Save your agent outside the project.
Choose its role, workspace and tools. Save the private configuration outside your Unity project: it can contain your API key.
Create an agent configuration ↗
03
Run a task. See the connections.
Activate the agent, create a small Kanban task and inspect its result. Open the graph to see dependencies and waiting work.
Use the board and graph ↗

BUILT FOR DEVELOPERS, WITH CLEAR BOUNDARIES

You choose what the agent can do.

Enabled tools can read or change project files and assets. Hosted requests can contain prompts, conversation history and tool results. Review your permissions, provider terms and generated changes.

Read the data and credential notes ↗

Permission policies are not an operating-system sandbox. Exported profiles can contain plaintext API keys. Keep them outside build assets and version control.

HOW THIS PROJECT WAS MADE

100% made by AI.
With real human guidance.

AIRuntime is an AI-made project, directed by a real person. AI does the creation; human guidance sets the goals, shapes the direction and decides what to keep.

This describes how AIRuntime was made. Unity, third-party dependencies and connected AI services are separate products with their own authors and licenses.

04 / MADE BY VOLTRON

Get unstuck.
Get back to building.

Questions, bugs or a rough edge? Send the Unity version, operating system, reproduction steps and a redacted error log.

voltron-airuntime@protonmail.com

RELEASE STATUS

1.0.0 candidate

Available as a free direct download. Unity Asset Store submission is still pending.

Get the Unity package ↓Free direct download · Asset Store submission pending

Give your AIsomethinguseful to do.

A task board.A clearer picture.

Keep track of the work.

Understand what is waiting on what.

Give each assistant a role.

Have a backup ready.

Give each agent a clear piece of the job.

Use it in Unity.Build on it with code.

Build AI features of your own.

See the work as it happens.

One framework.Your choice of model service.

Bring AIRuntimeinto your project.

Before you import

Your first agent.One step at a time.

Get a free endpoint.

Save your agent outside the project.

Run a task. See the connections.