WorldOS – A fully customizable AI simulation sandbox game

What it does

Marauders era, 1976. Laugh in the halls, duel in the dark, and find out who you’ll become when the war begins That world in your head? This is where you build it. Pick a theme, build an original public world, and win on turns played, not likes. Get Zaps every month, extra Zaps when you buy packs, more apps per world, custom themes and private worlds. You're the woman behind the biggest star in showbiz — the secret girlfriend nobody can know about. Every stolen glance in public is a headline waiting to happen. Your love story is the one the tabloids would kill for. Can you keep it? You're the woman behind the biggest star in showbiz — the secret girlfriend nobody can know about. Every stolen…from worldos.cc

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  AI-town, run your own custom AI world SIM with JavaScript2023 · github.com · ▲429

  Hi HN community! We want to share AI-town, a deployable starter kit for building and customizing your own version of AI simulation - a virtual town where AI characters live, chat and socialize. Inspired by great work from the Stanford Generative Agent paper (https://arxiv.org/abs/2304.03442). A few features: - Includes a convex.dev backed server-side game engine that handles global state - Multiplayer ready. Deployment ready - 100% Typescript - Easily customizable. You can fork it, change character memories, add new sprites/tiles and you have a custom AI simulation…

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  Hi HN, we built world-model-optimizer, an open source tool to continually improve a specialized model for an agent. It does this by simulating production tool responses through text world modeling (similar to QwenAgentWorld, summary here https://x.com/silennai/status/2073887455884058814). We can then use this to train a router for frontier, OS, and local models (use defaults or pick which ones to optimize against). wmo ingests agent traces, builds the simulation, embeds the traces, runs different models you choose against the simulation scenarios, and then uses a KNN…

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