Coplay integrates seamlessly with Unity through an intuitive interface designed to enhance your game development workflow. This guide explains all the UI elements you’ll encounter when using Coplay.

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Context

The Context dropdown determines what information Coplay has access to when responding to your queries:

  • File Tree: Provides access to your project’s file structure
  • Project Settings: Gives context about your Unity project configuration
  • Active Scene: Includes information about the currently open scene
  • Git History: Provides access to version control information
  • Packages: Shows information about installed packages

Example usage: Select “Active Scene” when asking Coplay to help optimize game objects in your current scene, or select “Project Settings” when troubleshooting configuration issues.

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Mode

The Mode dropdown lets you select specialized AI modes optimized for different tasks:

  • Normal: Balanced mode for general Unity development queries
  • Agent: A more careful mode designed for more complex tasks involving longer, step-by-step reasoning.
  • SceneGeneration: Specialized mode for creating and modifying Unity scenes
  • UIGeneration: Focused on UI development tasks and solutions

Example usage: Switch to “SceneGeneration” mode when asking Coplay to help design a level layout, or use “UIGeneration” when working on your game’s user interface elements.

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Model

Coplay lets you choose between the latest AI models from major foundational providers like OpenAI, Anthropic, Google, and X.AI. Each model offers distinct advantages for different Unity development tasks:

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Anthropic

  • claude-3-7-sonnet: (Default) Balanced model with exceptional reasoning capabilities; excellent for complex architectural decisions, debugging logic errors, and explaining game mechanics with detailed, well-structured responses. More thorough but slower, taking a step-by-step approach to problem solving.
  • claude-3-7-thinking: Advanced reasoning model with enhanced step-by-step thinking capabilities, ideal for complex problem-solving tasks and detailed analysis of Unity systems. Excels at iterative thought processes.
  • claude-4-sonnet: Newer general model with improved performance and understanding; offering superior code generation and architectural guidance for Unity projects. Excellent for coding tasks but slower in tool execution.
  • claude-4-thinking: Advanced reasoning variant of Claude-4 with enhanced analytical capabilities, perfect for complex debugging and system design challenges that require thorough, methodical analysis.

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Inception

  • mercury-coder-small: Experimental model that uses diffusion-based inference to generate code incrementally, resulting in significantly faster execution of sequential programming tasks.
  • mercury-coder-small-stream: Streaming variant that leverages diffusion techniques to provide real-time response capabilities with enhanced speed benefits.

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OpenAI

  • gpt-4.1: Handles tasks in bulk and excels at UI development, image processing, and multiple tool execution. Can work quickly but may perform less well with complex coding tasks. Best for UI-focused work and batch operations.
  • o3: Fast, cost-effective model for straightforward development tasks, good for quick syntax questions, simple script generation, and basic Unity workflow assistance during prototyping phases.
  • o4-mini: Optimized for quick responses with good balance of speed and capability, effective for common Unity tasks like component setup, basic animations, and UI scripting with concise, practical answers.

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X.AI

  • grok-3: Excels at creative problem-solving and unconventional solutions.

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Google

  • gemini-2-5-pro: Strong multimodal capabilities that excels at analyzing visual elements, scene composition, and asset organization. Good with well-structured, multi-step requests and can handle actions in bulk. Offers a balanced approach between Claude’s thoroughness and GPT-4.1’s speed.
  • gemini-2-5-flash: Optimized for speed and efficiency with good baseline understanding of Unity concepts, ideal for quick reference questions, syntax checking, and basic troubleshooting when immediate guidance is needed.

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Action Recording

Coplay can record your actions in the Unity Editor, allowing you to:

  1. Track movements and changes to game objects
  2. Delete specific recorded actions using the ”×” button
  3. Clear all recorded actions at once
  4. Save recordings for future reference

When you’ve finished recording actions, you can save them with a custom name and use them for additional context in future tasks.

Example usage: Record a sequence of object placements to document your level design process, then ask Coplay to analyze the pattern or suggest improvements.

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Memory (configurability coming soon…)

Long-term memory is currently stored server side, we will soon release support for listing and continuing prior conversations