ps2-ai-agent

Autonomous PlayStation 2 AI Agent with real-time visual telemetry HUD powered by TypeSafe Jev System One

How it uses Jev

An end-to-end autonomous gaming agent architecture for PlayStation 2 emulation, equipped with low-latency window frame capture, virtual controller input injection, real-time broadcast-quality visual telemetry HUD, and modular decision-making powered by TypeSafe Jev System One .

Getting started

2. Configure Environment Variables (Optional) Defaults are pre-configured in config.py . To override:

Source: community catalog. Details and metrics reflect the published community snapshot and are not a performance endorsement. Documentation details extracted from GitHub · the README.

Keep exploring

Similar to ps2-ai-agent

Browse all
jev-games project preview
Games & simulations
Visual Jev lab for multiple games and emulator platforms
jev-play-ping-pong project preview
Games & simulations
Jev plays browser table tennis in real time: structured telemetry, typed decisions, ordinary Chrome inputs, and auditable evidence.
jev-tetris project preview
Games & simulations
A visual TypeSafe demo where Jev chooses verified Tetris placements.
jev-pilot project preview
Agent tooling
Fast System-1 Decision, Arbitration & Safety Engine for Autonomous AI Agents (Powered by TypeSafe Jev)
jev-visual project preview
Benchmarks & research
An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.
Jev for robotics
Camera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5Hz
Jev-Moderation-Bot project preview
Applications
Real-time Discord moderation bot: Jev evaluates messages and metadata in parallel to catch phishing, spam, and social engineering with a progressive escalation ladder.
hearth-jev-rental-search project preview
Autonomous multi-source rental search powered by TypeSafe Jev
live-jev project preview
Browser & computer use
2D autonomous car simulation in the browser, driven by TypeSafe's Jev decision model