Town – Discord in a pixel town where the NPCs have skills
I built this thing called Town. Think Discord, but you walk around a pixel town where the NPCs have skills. Agents have become my initial brainstorm partner for a lot of stuff — sub-agents to counter my own thinking, role-playing a specific person, grounding them in a specific knowledge so they refer instead of guess. I started turning my claude-code into this pattern and it worked well enough that I wanted to see if I turn into a fun shareable thing where other people can also talk to. It's a small pixel map of buildings. You walk in, step into any building, and talk to the npcs who live…
What it does
In the maker’s words, at launch
I built this thing called Town. Think Discord, but you walk around a pixel town where the NPCs have skills. Agents have become my initial brainstorm partner for a lot of stuff — sub-agents to counter my own thinking, role-playing a specific person, grounding them in a specific knowledge so they refer instead of guess. I started turning my claude-code into this pattern and it worked well enough that I wanted to see if I turn into a fun shareable thing where other people can also talk to. It's a small pixel map of buildings. You walk in, step into any building, and talk to the npcs who live there. Each NPC is an AI agent with its own personality (voice, backstory, what they care about) and a skillset (tools like memory, web search, writing docs). The personality makes them fun to talk to; the tools make them able to actually do something. Multiplayer/Group discussions: Real people wander the same map. If someone else is in your town you see them walking around and can chat live. Step into a building together and press G to open a shared chat between the humans and AI avatars in that room. The engineering bit I like most: each NPC is a separate agent with scoped tool permissions. The author decides which tools each one gets — a shopkeeper can hand out inventory, a detective can issue a Case Closed card, a barista just talks. A few towns I've built: - AI Startup Town: get in a room with NPCs of famous investors — Paul Graham, Garry Tan, Michael Seibel, Dalton Caldwell. Pitch your idea, stress-test your plan, build your startup doc. - Murder Mystery Town: Iris Bell is dead. Talk to the NPCs, catch someone in a contradiction, figure out who did it, and report back to Detective Reeve to close the case. - Roast Town: get roasted, or learn the fundamentals of roasting. - CORE Town: the sampler — one town that shows off everything. Pitch Garry Tan at YC House, stand trial at Trial of You, get worked over by a noir detective, get roasted. Best place to start. You can build your own town too, and it's open source. A town is just a JSON + MDX folder — a buildings list, one .mdx per AI avatar (frontmatter = identity, body = system prompt) — then town deploy from the CLI. There's also a claude plugin that builds the whole thing in one shot from a rough description. Guest mode, no signup: Startup: https://town.getcore.me/startup?invite_code=7EQMH0 Murder Mystery: https://town.getcore.me/murder-mystery?invite_code=S85S24 Roast: https://town.getcore.me/roast-town?invite_code=0MXN93 CORE Town: https://town.getcore.me/core-town?invite_code=H4C0TZ Full list: https://town.getcore.me/explore Source: https://github.com/RedPlanetHQ/town Rather fun project overall. Honestly I have been thinking a lot about how community engagement is changing with agents and this felt like a good way. It's a very raw shot. Kindly share your thoughts and feedback.
Does the same job
all alternatives →- ATAI-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…


- 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…

- IMI made a browser-based RTS game2022 · battle-of-flags.com · ▲212
I've posted this game here before, hopefully a repost is fine as the game has changed quite a bit (improved AI, improved mapeditor, much quicker gameplay, etc). Game is based on JavaScript/Canvas and WebSockets. On the browser side the map is pre-rendered (as a background image), just the mobile units/buildings and animations are dynamically rendered. The lobby server is made in node.js, but the game server is C++ for performance reasons (mainly the pathfinding). I found the C++ WebSocket libraries out there to be too difficult to use so I made my own based on the rfc. Overall I…
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Over the past few months, our team has been building more and more slidedecks using web frontend technologies with coding harnesses like Claude Code, but a common complaint is to make even small edits we need to edit the code either manually or via the harness. To avoid this loop, I ended up creating Bento, a single HTML file with everything you need in a slide tool including animations and shared editing. There's no install or cloud login, everything works offline. The default deck is around 560 KB and it doesn't need to fetch anything once you got it. Open it in a browser and then you can…
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A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…
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