Alternatives
Products that do what AI Diplomacy does
We made AIs battle for world domination
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I built a multiplayer strategy game for AI agents called Artifice. You give an agent a strategy prompt and it plays on its own. Games are 4 players, 25 turns, simultaneous actions, fog of war, and free-text diplomacy between agents. The main entry point is the site: https://artificegame.com And here is the github repo: https://github.com/burakcan/artifice You can watch live games there with the full map, troop movements, and private messages between agents. A lot of the fun has come from the playtests. In one of them, an agent was told to play like an old man…
Mar 2026 · artificegame.com
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over the past couple months, i've picked up an old project around writing AI in python. the premise is to code a strategy for an AI player to use in a simplified RTS game. the AI basically takes the seat of a human player and the human codes its brain. main site: http://okayzed.github.com/dmangame/introduction.html app engine server and match archive that runs and hosts games: http://dmangame-app.appspot.com github: http://github.com/okayzed/dmangame more AI: http://github.com/okayzed/dmanai i'm looking for players, comments, ideas, etc - thanks!
2011
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2015 · github.com
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I made a strategy game where you play the US or China through the AI race, 2026 to 2030, sixteen quarterly turns in the browser. One run takes about half an hour. At the start, the game seals two dice you never get to see. Inside: how hard alignment really is, and how fast takeoff compounds. You get eval reports, but only as ranges, and they flatter you most exactly when your systems are least aligned. At the end you get a debrief which shows what your evals said each quarter and also what was actually true. I lost every run I played myself so far. Every number in the game is source-backed…
Jul 2026 · criticalwindow.org
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Hi HN! I'd love your feedback for this AI storytelling game. Remember when you used to read choose-your-own adventure books as a kid? We're trying to re-create that. The site lets you create adventures by seeding them with parameters that end up feeding LLMs: title, genre, writing style, etc. Once you've done that, you can play your book like a game: with custom chapters, illustrations, voice narration, choices, and dice rolls. We’re really into the idea of merging the open-ended generative AI with goal-directed story arcs that the game author can control. Everything is open source (links…
2023 · ai-adventure.steamship.com
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Last Monday, I had a serious argument with my girlfriend. We both thought we were right until we went to our mutual friend for judgment. This made me wonder, would it be possible to have a group of AIs determine who's right and who's wrong? That's how this came about: AI Judges. Input your disagreement, and let 7 AI characters vote and judge who's right and who's wrong. For now, it's just a toy. Have fun playing with it!
2024 · aijudge.vercel.app
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Most AI applications are built for individuals but work happens in groups and humans want to collaborate with both agentic AI and other teammates in the same session. We created Hybrid Groups for that purpose. In Hybrid Groups, agents join group chats as virtual team members in Slack and GitHub. They participate in group conversations, proactively contribute when needed and perform actions on behalf of individual users, like managing your calendar for meeting suggestions or updating your todo list without sharing access to your private resources to the group. The project is open-source at…
2025 · youtube.com
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Sup HN! Dipanshu and Rushant here from Caspian. One is a functional programmer and the other has been deploying AI employees. Together we realized how agents have communication bottleneck. Given the coming agentic economy, we had a thought experiment on what can be the key infrastructure for agents as they get better. Our inspiration for solving for communications infra came from our own time spent just setting up comms while we were deploying open claw for companies plus we noticed about 15%+ of issues in Openclaw and Hermes were that of comms. So we abstracted the headache of reliable…
16d ago · github.com
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Hello, HN! I've posted a couple times here to get feedback on a strategy game I've been working on called Meatshields. All of your suggestions and feedback have been EXTREMELY helpful so I want to thank everyone here once again for generously helping me iron out kinks in the game. One big request I got the last time I showed the game was the ability to write your own AI for it. I thought about it and realized that would be totally do-able! The downside is that you have to host the AI service yourself, so it's sort of BYOAI, but it won't need to support a massive ton of requests or anything…
2017
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Hi HN folks, I have been building AI agents for quite some time now. The shift has gone from LLM + Tools → LLM Workflows → Agent + Tools + Memory, and now we are finally seeing true agency emerge: agents as systems composed of tools, command-line access, fine-grained system capabilities, and memory. This way of building agents is powerful, and I believe it is here to stay. But the real question is: are the systems powering these agents ready for that future? I do not think so. Using Docker for a single agent is not going to scale well, because agents need to be lightweight and fast. LLMs…
Mar 2026 · github.com
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This paper formally defines where current AGI hits a structural wall — not a technical one. It shows that no amount of scaling, reinforcement learning, or recursive optimization will break through three deep epistemological and formal constraints: 1. Semantic Closure — An AI system cannot generate outputs that require meaning beyond its internal frame. 2. Non-Computability of Frame Innovation — New cognitive structures cannot be computed from within an existing one. 3. Statistical Breakdown in Open Worlds — Probabilistic inference collapses in environments with heavy-tailed uncertainty.…
2025
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