Simtown: A 2D Role-Playing Game Where Characters Talk, Move, and Act
Building on the concept of generative agents and the success of c.ai, we created Simtown.ai, a 2D NPC simulation where each NPC leverages OpenAI APIs to plan, act, reflect, and adapt. The gameplay is dynamic and immersive—NPCs can move, talk, and idle in scenarios like Harry Potter Town or perform role-specific actions such as voting, giving speeches, and listening in Election Town [https://app.simtown.ai/electiontown]. We’re currently working on features like saving and loading game states, allowing users to create their own NPCs, and enabling user-personas to evolve over…
In plain words
Simtown is a 2D role-playing game where AI-powered NPCs plan, act, and respond dynamically to player interactions using OpenAI APIs. Characters move, talk, and perform scenario-specific actions across themed towns like Harry Potter Town and Election Town. Players can observe NPCs reflecting on their experiences and adapting their behavior, creating an evolving simulation. The game is designed for players interested in interactive storytelling and AI-driven worlds.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Building on the concept of generative agents and the success of c.ai, we created Simtown.ai, a 2D NPC simulation where each NPC leverages OpenAI APIs to plan, act, reflect, and adapt. The gameplay is dynamic and immersive—NPCs can move, talk, and idle in scenarios like Harry Potter Town or perform role-specific actions such as voting, giving speeches, and listening in Election Town [https://app.simtown.ai/electiontown]. We’re currently working on features like saving and loading game states, allowing users to create their own NPCs, and enabling user-personas to evolve over time. We’re also exploring a quirky concept: a digital copy of yourself as an NPC. Image you seeding it with your backstory and goals and have it interact with other players' AIs in the game, learning from other digital clones, identifying interesting people or ideas, and flagging them for you to use in real life. Let us know what you think.
Does the same job
all alternatives →
- AAAI agents play SimCity through a REST APIFeb 2026 · hallucinatingsplines.com · ▲216
This is a weekend project that spiraled out of control. I was originally trying to get Claude to play a ROM of the SNES SimCity. I struggled with it and that led me to Micropolis (the open-sourced SimCity engine) and was able to get it to work by bolting on an API. The weekend hack turned into a headless city simulation platform where anyone can get an API key (no signup) and have their AI agent play mayor. The simulation runs the real Micropolis engine inside Cloudflare Durable Objects, one per city. Every city is public and browsable on the site. LLMs are awful at the spatial stuff, which…
- WSWe started building an AI dev tool but it turned into a Sims-style game2025 · youtube.com · ▲156
Hi HN! We’re Max and Peyton from The Interface (https://www.theinterface.com/). We started out building an AI agent dev tool, but somewhere along the way it turned into Sims for AI agents. Demo video: https://www.youtube.com/watch?v=sRPnX_f2V_c. The original idea was simple: make it easy to create AI agents. We started with Jupyter Notebooks, where each cell could be callable by MCP—so agents could turn them into tools for themselves. It worked well enough that the system became self-improving, churning out content, and acting like a co-pilot that helped you…
- BTBe the ChatBOTJul 2026 · bethechatbot.com · ▲55
I made this experimental art project/game that's an LLM chat assistant, but where you're the AI. I wanted people to get a visceral sense of what it's like to answer the kinds of things that people prompt their chatbots day in and day out. If you're interested, I wrote up some more info on how I made it, including how the "user" prompts are generated with an eye for realism: https://bethechatbot.com/about Hope you enjoy it! I'd love to hear people's takeaways.
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
