All repos — GH Trending Explorer

Framework for evaluating and improving agents

VLX-Seek is an efficient VLM that grounds fine-grained visual targets with high precision in wild environments.

Creating realistic RL environments requires collaboration between researchers, engineers, and domain experts across many dimensions: artifacts, environments tools, dynamism of the environment, reproducibility, and more. There is no open source framework for building these environments effectively. Until now.

Simreal-AI / future-prediction-bench

[Public alpha] Probability forecasting protocols, delayed-reward agent rollouts, and verifiable real-world task environments.

pypa / pipx

Install and Run Python Applications in Isolated Environments

huggingface / OpenEnv

An interface library for RL post training with environments.

isaac-sim / IsaacSim

NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.

xlang-ai / OSWorld

[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

pollen-robotics / microduck_rl

RL training environments for Microduck (mjlab)

learnsyslab / gym-pybullet-drones

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

preferencemodel / karotte

A framework for building robust RL environments to train aligned AI.

Farama-Foundation / Gymnasium

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

PrimeIntellect-ai / verifiers

Our library for RL environments + evals

google-deepmind / dm_control

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Farama-Foundation / PettingZoo

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

DLR-RM / rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

AI4Finance-Foundation / FinRL-Meta

FinRL®-Meta: Dynamic datasets and market environments for FinRL.

Farama-Foundation / Metaworld

Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

tsinghua-fib-lab / AgentSociety

AgentSociety 2 is a modern, LLM-native agent simulation platform designed for social science research and experimental design. It provides a flexible framework for creating and managing intelligent agents in simulated environments.

huggingface / Repo2RLEnv

Turn any repository into verifiable RL environments for coding agents - Harbor tasks you can train on, evaluate and share on the Hugging Face Hub

isaac-sim / IsaacLab-Arena

Isaac Lab - Arena is a robotics simulation framework that enhances NVIDIA Isaac Lab by providing a composable, scalable system for creating diverse simulation environments and evaluating robot learning policies. The framework enables developers to rapidly prototype and test robotic tasks with various robot embodiments, objects, and environments.

adithya-s-k / FineEnvs

FineEnvs — RL Environments 101: building and scaling RL environments in the age of LLMs

spade-rl / spade

SPADE: Self-Play in Adaptive Synthetic Executable Environments

VAIL-UCLA / NavSafe-infty

NavSafe-∞: Benchmarking Closed-Loop Driving Safety in Photorealistic Environments

Farama-Foundation / HighwayEnv

A collection of environments for autonomous driving and tactical decision-making tasks

splunk / attack_range

A tool that allows you to create vulnerable instrumented local or cloud environments to simulate attacks against and collect the data into Splunk

Farama-Foundation / Minigrid

Simple and easily configurable grid world environments for reinforcement learning

Farama-Foundation / Gymnasium-Robotics

A collection of robotics simulation environments for reinforcement learning

rueckstiess / mtools

A collection of scripts to set up MongoDB test environments and parse and visualize MongoDB log files.

pypa / pip-audit

Audits Python environments, requirements files and dependency trees for known security vulnerabilities, and can automatically fix them

MyoHub / myosuite

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

NVIDIA-NeMo / Gym

Evaluate and improve models and agents using environments

Farama-Foundation / MO-Gymnasium

Multi-objective Gymnasium environments for reinforcement learning

Toni-SM / skrl

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

AcademySoftwareFoundation / rez

An integrated package configuration, build and deployment system for software

Farama-Foundation / MAgent2

An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments

cisagov / untitledgoosetool

Untitled Goose Tool is a robust and flexible hunt and incident response tool that adds novel authentication and data gathering methods in order to run a full investigation against a customer’s Azure Active Directory (AzureAD), Azure, and M365 environments.

Farama-Foundation / Shimmy

PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama

Thytu / Agentarium

open-source framework for creating and managing simulations populated with AI-powered agents. It provides an intuitive platform for designing complex, interactive environments where agents can act, learn, and evolve.

Kautenja / gym-super-mario-bros

Gymnasium environments for NES Mario games, with task metadata, reward instrumentation, and reproducible evaluation interfaces.

instadeepai / jumanji

🕹️ A diverse suite of scalable reinforcement learning environments in JAX

nvidia-cosmos / cosmos-transfer1

Cosmos-Transfer1 is a world-to-world transfer model designed to bridge the perceptual divide between simulated and real-world environments.

Farama-Foundation / MPE2

A set of communication oriented environments

vikashplus / robohive

A unified framework for robot learning

LiteReality / LiteReality-Agent

LiteReality-Agent: Turn the real world into simulation-ready environments.

conda / conda-pack

Package conda environments for redistribution

facebookresearch / meta-agents-research-environments

Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.

conda / conda-lock

Lightweight lockfile for conda environments

dynamicslab / hydrogym

An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.

AetherLabsAI / RSIAgent

A training-free multi-agent framework for recursive self-improvement in new environments through broad-then-deep autonomous exploration and reusable memory.

GoogleCloudPlatform / professional-services-data-validator

Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match

databrickslabs / dbldatagen

Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines

trieuntu / VietAIDetector

VietAIDetector: A robust, zero-shot AI-generated text detection system for Vietnamese. Built on the VietBinoculars algorithm with PhoGPT-4B and featuring Vintern-1B VLM for scanned PDF OCR. Optimized for dual-GPU environments with a Gradio Web UI.

jianglongye / dexterous-astra

Dexterous pen spinning and Rubik's cube: sim environments, zero-shot scripts, trained checkpoints

QwenLM / RecreationWorld

RecreationWorld: Scalable and Verifiable Environments for Hybrid Computer-Use Agents

aitofound / ScienceIDE

ScienceIDE: Turning World’s Scientific Codebase into Agent Learnable Environments

Kiln-AI / Seahaven

A framework for building synthetic worlds for AI agents. Useful for RL and evaluation environments.

ShawnJoeng / Text2Mujoco

Generate Mujoco environments from natural language

ShuhongLL / DeRainGS

[AAAI 2025] DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments

bluejay-ai-dev / mivas-bench

Multi-Industry Voice Agent Simulation Bench (MIVAS) is an indicator of voice AI performance across economic sectors. MIVAS is comprised of tasks and verifiers with granular rewards executed in production-grade multi-agent RL environments across industries where voice AI is being adopted the fastest.