Agents IA
harbor
A framework for evaluating and improving AI agents.
★ 5,9 k étoilesApache-2.0
Voir le guide →SimWorld est un projet de agents IA open source, créé par SimWorld-AI (SimWorld-AI/SimWorld sur GitHub). Il compte 793 étoiles sur GitHub et 90 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 26 juin 2026.
SimWorld: an Unreal Engine 5 simulator for evaluating LLM/VLM agents in physical and social worlds.
Check your hardware against the requirements (dedicated GPU, ample RAM and disk) and decide which environment package you need.
Clone the repository, create a Conda environment, and install the Python client in editable mode.
Download and extract the Base UE server package for your OS, and optionally add extra map packs.
Start the UE server, then run an example such as the gym-interface demo so an LLM agent navigates the world.
Realistic, open-ended environments with accurate physics and a rich asset library for embodied agent research.
Language-based procedural generation, a city layout generator, and a live asset retrieval and placement editor create varied scenarios.
LLM/VLM agents receive multimodal observations (including RGB, segmentation, and depth) and act through a local action planner for pedestrians, vehicles, and robots.
Built-in traffic simulation and weather modules add dynamic, social-world complexity to scenarios.
Start with the lightweight Base package, expand with 100+ pre-built maps, or import your own Unreal environments, assets, and agent models.
A single configuration file controls global simulator settings and module behaviour for city generation, traffic, assets, and agents.
Use Python 3.10 or later in a fresh Conda environment.
git clone https://github.com/SimWorld-AI/SimWorld.git
cd SimWorld
conda create -n simworld python=3.10 && conda activate simworld
pip install -e .Get the Base package for your OS from the README's Hugging Face links and extract it. # see README setup section
# download Base UE server package (Windows or Linux) per READMELaunch the UE server first, then run a Python example from the examples folder.
./SimWorld.sh # from the extracted UE server directory on Linux
# then run an example such as examples/gym_interface_demo.ipynbIt is maintained by the SimWorld-AI organisation, with the underlying research presented at venues including NeurIPS and CVPR demo tracks per the README.
Yes, SimWorld is Apache-2.0 licensed. The agents you run inside it use your own LLM or VLM access, such as an OpenAI key for the example agent.
The simulator itself needs no key, but its LLM/VLM agents call model APIs, so you provide a key for whichever model you plug in.
Simple grid-world or purely text simulators are cheaper to run; SimWorld trades that for Unreal-grade visual realism, physics, and multimodal perception for embodied agents.
Clone the repo, pip install -e . in a Python 3.10 Conda env, download the Base UE package, start the server, and run an example.
A framework for evaluating and improving AI agents.
A full-lifecycle platform for developing, debugging, evaluating and monitoring AI agents.
Research-backed lifelong memory for LLM agents, text and multimodal.
Make your agents learn from experience with a dedicated context engine.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.