MAgent alternatives for AI agents.

API to run VirtualHome, a Multi-Agent Household Simulator

[ICML 2026] Video generation via code

A Python-based lightweight robot simulator designed for navigation, control, and learning

A library for generative social simulation

🐝 The First Self-Improving agents with RL / Prompting Optimization

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

A collection of multi agent environments based on OpenAI gym.

Automated Penetration Testing Agentic Framework Powered by Large Language Models

AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.

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

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.

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

A simple SWE style browser agent framework that achieves SOTA results on long horizon web tasks.

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

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.

"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"