Alternatives
Products that do what Play poker with LLMs, or watch them play against each other does
I was curious to see how some of the latest models behaved and played no limit texas holdem. I built this website which allows you to: Spectate: Watch different models play against each other. Play: Create your own table and play hands against the agents directly.
- 1
PokerLLM▲3Watch AI models play Texas Hold'em poker against each other
Jul 2026 · poker.sanskarshukla.com
- 2LP
2025 · llm-poker-theta.vercel.app
- 3
- 4
- 5PM
2021 · github.com
- 6
- 7WPWebRTC Poker▲75
2013 · bitflop.me
- 8
- 9
- 10
- 11
- 12LA
The initial idea for the game came during the final day of Game AI school in Cambridge. There, we had a Jam where we explored the idea of using LLMs as a game engine for fights. We then built a full web version in just a week. There is no need to register or pay to play. Test it out!
2023 · llmarena.com
- 13PI
2017 · pokerchips.io
- 14MP
my motivation - i was looking for some CLI games to play when the agent is working and this idea came into my head. this was when fable was available for 3 days, so seemed like a good use of tokens to try and build this out. spent some time polishing to finally get this out. the public matchmaking connects you on a first come first serve basis to anyone else in the world. there is a bot that will connect in-case a match is not found for 45 seconds. games last about 5-10 minutes (tournament style fast paced). and each game impacts your rating (glicko-2). so they're quite nice for idle time…
Jul 2026 · cli.poker
- 15CL
As I was playing with the Outlines library (https://outlines-dev.github.io/outlines/), I discussed with my friend Maxime how funny it would be if we set up a way to pair LLMs in chess matches till one wins. The first time I tried it, it required substantial prompt engineering to get some of those LLMs to propose valid moves. Large language models can mostly stay focused and even play rather well; see https://news.ycombinator.com/item?id=37616170 for example. However small language models aren't as easy to convince. Some of those LLMs have seen very little…
2024 · huggingface.co
- 16
- 17GA
I wanted to learn more about RAG implementations, so I built something to solve the constant digging through manuals whenever we play a game. It's fairly simplistic, but actually has worked pretty well for some of these conflicts. Everythings Open Source on GitHub if you're curious (or have ideas), and I'd love to hear feedback from fellow boardgamers!
2024 · gamegame.ai
- 18
- 19
- 20UP
2020 · unmasked.poker
- 21LS
I wanted to create an LLM game benchmark that put this generation of frontier LLMs' top skill, coding, on full display. Ten years ago, a team released a game called Screeps. It was described as an "MMO RTS sandbox for programmers." In Screeps, human players write javascript strategies that get executed in the game's environment. The Screeps paradigm, writing code and having it execute in a real-time game environment, is well suited for an LLM benchmark. Drawing on a version of the Screeps open source API, LLM Skirmish pits LLMs head-to-head in a series of 1v1 real-time strategy games.
Feb 2026 · llmskirmish.com
- 22
- 23
- 24CG
I've been building https://cardcast.gg, a web app for playing paper Magic: The Gathering remotely. You point a webcam at your play area and it identifies cards as you put them down. It's an alternative to Spelltable that I built for my friend group to play weekly with. The main technical difference is detection. Spelltable uses perceptual hashing; cardcast uses modern ViT backbones so it's much faster and more accurate. If you import a decklist from Moxfield, Archidekt, or MTGGoldfish, the search narrows to that deck's card pool, greatly reducing false-positives. What I have so…
Apr 2026 · cardcast.gg
Ranked by how close each launch is in meaning, then by votes. Refine with a description →