Ramen open-sources Aura Autopilot playtesting agent for Unreal, Unity, and Godot

Frame-by-frame vision-language agents struggle in real-time 3D games because multi-second model latency cannot react to combat animations or physics hazards. Ramen’s Aura Autopilot splits playtesting across four open-source components on Windows and macOS: a native plugin inside Unreal Engine 5, Unity 6, or Godot 4; a local Python service over WebSocket; a developer’s existing coding agent (Claude Code, Codex, or OpenCode); and a persistent per-project neurosymbolic memory filesystem.

Rather than issuing raw keystrokes on every frame, the coding agent inspects live scene state and writes adaptive TypeScript or Python macro-action harnesses combining A-star sonar pathfinding with high-frequency programmatic reflex functions that react in roughly 0.25 seconds via Ramen’s Jev runtime. Evaluated with Claude Opus 5.5 (medium effort, cold memory) across seven gameplay verification tasks in Easy Survival RPG V5 on Unreal Engine 5.8, Aura Autopilot achieved full task completion in nearly half the time of standalone Claude Code, as shown in the benchmark chart below. Ramen has not announced paid cloud orchestration tiers.