ResearchArtificial Intelligence
StoneSeed
An autonomous Minecraft agent designed to reason, survive, learn, and eventually complete the game.
StoneSeed is an experimental game-playing AI that observes Minecraft, selects goals, maintains multi-step intentions, uses executable skills, verifies real world-state changes, remembers outcomes, and responds to emergencies without relying on constant player commands.
Persistent goals and intentionsVerified actions and reward learningCross-game adapter architecture
ResearchArtificial Intelligence
OpenFront AI
A research platform for training strategic agents through imitation learning, reinforcement learning, self-play, and cross-game transfer.
BearPack OpenFront AI uses OpenFront as the first reference environment for a larger general game-intelligence platform. The goal is to build reproducible strategic agents that can learn from demonstrations, compete through self-play, model opponents, plan ahead, and transfer knowledge to...
Imitation learning and PPOStrategic self-playCross-game agent architecture
Technical PreviewSimulation & Engines
UPE
A deterministic native simulation runtime built for repeatability, replay, rollback, and inspectable behaviour.
Unified Physics Engine is a native physics and simulation project centred on deterministic stepping, state hashing, snapshots, replay workflows, and a stable integration boundary.
Deterministic simulationSnapshots and replayNative commercial source architecture