Jogos e simulações

Responde perguntas de escolha, booleanas e de pontuação ordenada a partir de estados e candidatos, sem decodificar tokens de resposta. É um modelo local independente inspirado no Jev; gravações comparam Jev e Qwen sem ajuste nas mesmas interfaces de jogo.

O projeto controla um jogador de Minecraft Java 1.16.5 pelo Mineflayer, com um modelo separado para planejamento e o Jev escolhendo ações. Configure o relay dos modelos e os caminhos locais, instale dependências, inicie o servidor vanilla e siga o fluxo documentado do nether-agent.

A coleção traz habilidades para triagem de registros, verificação de evidências, avaliação por critérios e escolha de ações permitidas. Siga o guia e escolha Jev real via TypeSafe ou OpenRouter, ou uma simulação do agente claramente identificada.

TypeSafe Mario é um controlador NES experimental com telemetria do emulador e observações derivadas da RAM. Com Python 3.13, chave TypeSafe e jogo local, confira state-demo antes de executar play.

JEV-inspired parallel decisions for CUDA LLMs. One context, many decisions. vLLM API, game-agent examples, and reproducible benchmarks.

A Clash Royale bot with no trained policy: Jev (TypeSafe System One) makes every decision from the live game state

2D autonomous car simulation in the browser, driven by TypeSafe's Jev decision model

Real-time drone swarm autonomy simulation using Jev for fast System 1 reflex decisions and collision avoidance, with optional System 2 reasoning for strategic guidance

Nenhuma descrição disponível.

Python prototype that plays NES Super Mario Bros. from structured RAM observations, with Jev answering focused movement and jump questions.

Hermes Agent plans, Jev (TypeSafe) picks bounded actions, Mineflayer executes: Minecraft with no screenshots or keypresses from a model. Includes the reproduction of rmalde/minecraft-agent's Ender Dragon run.

Pokemon Red on PyBoy: code owns the route and the arithmetic, Jev picks at branches in about 100 ms, calibration measured instead of assumed

Chess where both players are TypeSafe's Jev model: every move is a typed Choice decision

Observable browser stealth game: Jev makes typed guard judgments while deterministic code owns the world.

Chrome dino game played by Typesafe AI Jev model

An F1 racing game where TypeSafe's Jev picks the racing line and the pedals, and learns each corner's limit between laps

Playing Pokemon Red using TypeSafe Jev

Benchmarks and a playground for TypeSafe's Jev (System One) model: chess, and who-is-the-player-talking-to for speech-to-text game NPCs

Browser driving game that captions dropped road images locally, then uses Jev Choice answers to drive the car while code owns physics and timing.

Jev, TypeSafe's System One model, plays chess against any OpenRouter LLM, Stockfish and you. One-page web app with live moves, Jev's move probabilities, saved games and win rates.

GPT teacher consults for DSH: stateless one-shot codex teachers behind a hard per-task consult budget, a read-only sandbox and a deterministic prefilter.

Chess against Jev, TypeSafe AI's System One model, through OpenRouter. Built with the pico framework.

A Minecraft survival bot that thinks with Jev — TypeSafe's System One AI model

AI life-and-civilization simulation: TypeSafe Jev makes every decision (typed, probabilistic, auditable); LLMs plan — OpenAI-compatible APIs, local models (Ollama, LM Studio), Claude Code, Codex.