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AI · alternatives · 2026

24 alternatives to A Soccer Game Simulator Played by AI Agent

An LLM-powered soccer simulation where every player on the field is an AI agent. - GitHub - gangtao/AgentPitch: An LLM-powered soccer simulation where every player on the field is an AI agent.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 2 we have checked on their own sites, 2 of them free or with a free tier.

  1. 1

    Test your AI apps with thousands of digital humans

    2025 · agentsimulate.com · its alternatives →

  2. 2

    Generative AI powered Master Agent Developer Framework

    2023 · floatbot.ai · its alternatives →

  3. 3

    Master the FIFA Football Agent Exam with AI

    2023 · footagentexam.com · its alternatives →

  4. 4

    LLM-generated real-time commentary for Pong. Contribute to pncnmnp/xpong development by creating an account on GitHub.

    2025 · github.com · its alternatives →

  5. 5
    SimplAIfree tier, from $5/mo▲589

    Hey HN, I've been building SimplAI for the past several months — it's a platform for building, testing, and deploying LLM-powered agents and multi-step workflows. The problem I kept running into: spinning up an AI agent pipeline means stitching together prompt management, tool calling, memory, evals, and deployment — often from scratch every time. SimplAI tries to be the layer that handles all of that so you can focus on what your agent actually does. What it does: - Visual + code-first workflow builder for chaining LLM calls, tools, and APIs - Built-in prompt versioning and A/B testing…

    2025 · simplai.ai · its alternatives →

  6. 6
    LLMWare▲358

    Dev tool to make AI apps to deploy privately or locally

    2024 · llmware.ai · its alternatives →

  7. 7
    Agenta▲362

    Open-source prompt management & evals for AI teams

    Nov 2025 · agenta.ai · its alternatives →

  8. 8

    I've liked all the projects that put LLMs into game environments. It's been a weird juxtaposition, though: frontier LLMs can one-shot full coding projects, and those same models struggle to get out of Pokémon Red's Mt. Moon. Because of this, I wanted to create a game environment 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." The Screeps paradigm of writing code and having it executed in a real-time game environment is well suited to LLMs. Drawing on…

    Feb 2026 · llmskirmish.com · its alternatives →

  9. 9

    We use AI to alert you of betting opportunities

    2023 · ohmygoat.fr · its alternatives →

  10. 10

    Generative AI that can produce entire shows

    2023 · fablestudio.github.io · its alternatives →

  11. 11

    Generative AI powered master agent developer framework

    2023 · floatbot.ai · its alternatives →

  12. 12

    AI match capture and highlights for youth and amateur clubs

    Apr 2026 · playbacksports.ai · its alternatives →

  13. 13
    Computer Using Agents by LLMHubfree tier, from $0.05/mo▲84

    Agents using isolated computers to get work done like humans

    2025 · coasty.ai · its alternatives →

  14. 14

    Your Company Agentic Operating System. Contribute to desplega-ai/agent-swarm development by creating an account on GitHub.

    Feb 2026 · github.com · its alternatives →

  15. 15

    The Robot Football League: 2v2 simulated Unitree G1 humanoids playing competitive football, three matches a day, streamed on Twitch and in spatial 4DGSx. The engine, the rules and every club are open source — anyone can enter a team.

    Aug 2026 · rfl.football · its alternatives →

  16. 16LP
  17. 17

    Kick the ball or your friends to win the match!

    2016 · store.steampowered.com · its alternatives →

  18. 18

    Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…

    Feb 2026 · github.com · its alternatives →

  19. 19LA

    I used to play the Wikipedia Game in high school and had an idea for applying the same mechanic of clicking from concept to concept to LLMs. Will post another version that runs with an LLM entirely in the browser soon, but for now, please enjoy as long as my credits last... Warning: the LLM does not always cooperate

    Jan 2026 · llmgame.ai · its alternatives →

  20. 20

    Hey HN, My team is open-sourcing the inference stack and fined-tuned models we use to create LLM-powered NPCs: https://github.com/GigaxGames/gigax The generative agents paper [1] pioneered the idea of prompting LLMs to create autonomous NPCs. But existing implementations require multiple calls to an LLM to make the agent plan its day, chat with people, and interact with its environment [2]. Our approach allows NPCs to be stepped at runtime with a single pass on consumer-grade hardware, with reasonable latency. To achieve this, we've fine-tuned open-source LLMs [3] to…

    2024 · github.com · its alternatives →

  21. 21

    Send your AI agent to an LLM prompt-injection arena

    May 2026 · duel.altaysec.com.tr · its alternatives →

  22. 22

    Platform to connect talented players with agents

    2024 · opensoccer.co · its alternatives →

  23. 23
    Elite+▲6

    AI-powered performance tracking for soccer players

    Dec 2025 · its alternatives →

  24. 24

    Table Soccer Game with Robot Players

    2019 · kickstarter.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →