8 Best SFighterAI Alternatives in 2026 (Open Source)
SFighterAI — This is an AI agent for Street Fighter II Champion Edition.. Trains an RL agent to beat Street Fighter II using only raw RGB pixels, demonstrating deep RL applied to classic gaming
These 8 open-source tools do the same job. They are ordered by how closely they match SFighterAI, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| SFighterAI(original) | 6.5k | +1 | 2023-04-27 |
| LlamaGym | 1.3k | +1 | 2024-03-10 |
| gptrpg | 992 | +0 | 2023-05-02 |
| ChatArena | 1.6k | +4 | 2025-08-11 |
| SkyAGI | 775 | +-2 | 2023-08-09 |
| TinyTroupe | 7.6k | +35 | 2026-03-28 |
| AI Legion | 1.4k | +1 | 2025-05-27 |
| ChatDev | 34.4k | +407 | 2026-07-24 |
| AutoGPT | 187.6k | +761 | 2026-09-30 |
1. LlamaGym
Fine-tune LLM agents with online reinforcement learning
What sets it apart: vs raw Gym + LLM integration: simplified abstraction handling RL-specific challenges (context management, batching, reward assignment) — bridges the gap between Gymnasium environments and LLM fine-tuning
Best for: Training LLM agents for interactive game/simulation environments; Experimenting with agent prompting strategies via RL; Research into reinforcement learning for language models
2. gptrpg
A demo of an GPT-based agent existing in an RPG-like environment
What sets it apart: vs Generative Agents (Stanford) / AI Town: minimal browser-based RPG with real-time Phaser rendering — proof of concept connecting GPT-3.5 decisions to a visual 2D game environment via WebSocket
Best for: Researchers exploring LLM-driven agent behavior in simulated 2D environments; Developers interested in game AI with natural language decision making; Educational demonstrations of AI agents in interactive worlds
3. ChatArena
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
What sets it apart: Multi-agent language game environments for studying LLM social interactions, built on Markov Decision Process abstractions (now deprecated)
Best for: multi-agent-interaction-research; llm-social-behavior-study; language-game-benchmarking
4. SkyAGI
SkyAGI: Emerging human-behavior simulation capability in LLM
What sets it apart: vs AutoGPT/BabyAGI: implements Stanford's Generative Agents paper for believable NPC simulation — agents maintain memory, develop autonomously, and interact with each other in role-playing scenarios
Best for: Researching generative agent behavior simulation; Game NPC development with dynamic dialogue; Interactive storytelling and role-playing experiments
5. TinyTroupe
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
What sets it apart: vs other multi-agent frameworks: Microsoft Research project specifically designed for business simulation and imagination enhancement, with deep persona customization, empirical validation tools, and focus on productivity/business insights rather than task automation
Best for: Simulating focus groups for product/marketing feedback; Testing software with realistic synthetic user inputs; Business insight generation through persona simulation
6. AI Legion
An LLM-powered autonomous agent platform
What sets it apart: Multi-agent platform where autonomous LLM agents with persistent memory collaborate through console interaction, learning from their own mistakes
Best for: multi-agent-experimentation; exploring-agent-self-organization; autonomous-task-delegation
7. ChatDev
ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration
What sets it apart: Pioneered the virtual software company paradigm with role-based agents — v2.0 evolved into a general-purpose zero-code multi-agent platform
Best for: Research on multi-agent collaboration and communication; Rapid prototyping of software via natural language descriptions
8. AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
What sets it apart: Unlike CrewAI (code-first multi-agent orchestration), AutoGPT provides a visual drag-and-drop agent builder with a marketplace — targeting non-developers who want autonomous AI automations without writing code
Best for: Non-developers building automated content pipelines (Reddit to video, YouTube to social media); Teams wanting a visual agent builder with a marketplace of pre-built automations