#1
A Python-based lightweight robot simulator designed for navigation, control, and learning
1.1K starsJun 14, 2026 pushagent-frameworksPythonMulti-Agent
$ npx skills add hanruihua/ir-simAlternatives
BenchMARL alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
BenchMARL
BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.
75
Quality
85
Trust
636
Stars
#2
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
577 starsMay 19, 2026 pushagent-frameworksPythonMulti-Agent
$ npx skills add proroklab/VectorizedMultiAgentSimulator#3
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
71K starsJun 14, 2026 pushagent-frameworksPythonMulti-Agent
$ npx skills add bytedance/deer-flow#4
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
20K starsJun 13, 2026 pushagent-frameworksPythonMulti-Agent
$ npx skills add google/adk-python#5
🐝 The First Self-Improving agents with RL / Prompting Optimization
1.0K starsFeb 5, 2026 pushagent-frameworksPythonMulti-Agent
$ npx skills add metauto-ai/GPTSwarm#6
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
1.5K starsAug 11, 2025 pushagent-frameworksPythonMulti-Agent
$ npx skills add Farama-Foundation/ChatArena#7
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
11K starsJun 14, 2026 pushagent-frameworksPythonMulti-Agent
$ npx skills add microsoft/agent-framework#8
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
8.1K starsJun 14, 2026 pushagent-frameworksPythonMulti-Agent
$ npx skills add MervinPraison/PraisonAI#9
API to run VirtualHome, a Multi-Agent Household Simulator
618 starsMay 20, 2026 pushagent-frameworksPythonMulti-Agent
$ npx skills add xavierpuigf/virtualhome#10
A Platform for Many-Agent Reinforcement Learning
1.8K starsOct 22, 2022 pushagent-frameworksPythonMulti-Agent
$ npx skills add geek-ai/MAgent#11
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
2.0K starsMay 31, 2026 pushagent-frameworksPythonMulti-Agent
$ npx skills add learnsyslab/gym-pybullet-drones#12
Offline multi-agent simulation & prediction engine. English fork of MiroFish with Neo4j + Ollama local stack.
2.3K starsMar 24, 2026 pushagent-frameworksPythonMulti-Agent
$ npx skills add nikmcfly/MiroFish-Offline#13
[ICML 2026] Video generation via code
1.8K starsMay 31, 2026 pushagent-frameworksPythonMulti-Agent
$ npx skills add showlab/Code2Video#14
A library for generative social simulation
1.5K starsJun 10, 2026 pushagent-frameworksPythonMulti-Agent
$ npx skills add google-deepmind/concordia#15
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
1.1K starsMay 11, 2026 pushagent-frameworksPythonMulti-Agent
$ npx skills add Toni-SM/skrl#16
🎭 211 个即插即用的 AI 专家角色 — 支持 Hermes Agent/Claude Code/Cursor/Copilot 等 16 种工具，覆盖工程/设计/营销/金融等 18 个部门。含 46 个中国市场原创智能体（小红书/抖音/微信/飞书/钉钉等）
15K starsJun 12, 2026 pushagent-frameworksShellMulti-Agent
$ npx skills add jnMetaCode/agency-agents-zhHow to choose
When should you switch?
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep BenchMARL if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.