selvedge vs unity-mcp
selvedge: Selvedge provides long-term memory for AI-coded codebases, capturing the 'why' behind agent-made changes directly from the agent's context. It acts as a local MCP server, logging structured events to a SQLite database, allowing developers to query the reasoning for code modifications years later.; unity-mcp: MCP for Unity integrates AI assistants like Claude and VS Code Copilot with the Unity Editor using the Model Context Protocol. This allows developers to use Large Language Models to manage assets, control scenes, edit scripts, and automate various tasks within Unity, streamlining game development workflows.
TL;DR
Understanding the historical 'why' behind schema decisions and migrations in long-term AI-coded projects.
- You develop games in Unity and want AI assistants (Claude, Cursor) to manage assets, inspect hierarchy, edit C# scripts, and run Editor commands via MCP.
- You want to automate scene setup, prefab creation, and repetitive Unity Editor tasks using natural language.
- You use Unreal Engine or Godot; unity-mcp connects strictly to the Unity Editor.
- You only write gameplay C# logic outside of Unity and do not need Editor-level RPC integration.
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