Concordia
A library for generative social simulation
About
Concordia is designed for constructing and running generative agent-based models that simulate interactions among entities in various environments. It features a Game Master that interprets natural language actions from entities and translates them into outcomes. The library supports applications in social science research, AI safety, cognitive neuroscience, and more, allowing for complex behaviors through a modular architecture. Users can create custom components and utilize pre-assembled recipes for common agents.
Open Source Health
- Stars
- 1,694
- Forks
- 366
- License
- Apache-2.0
- Last commit
- 29 days ago
Resources & Links
Related Categories
Vendor
Google DeepMind
Open-source projects on GitHub: Sonnet, alphafold3 and Lab
Quick Links
Open Source
More by Google DeepMind
Related Products
Sonnet
TensorFlow-based neural network library
More from this vendor
Optax
A gradient processing and optimization library in JAX.
More from this vendor
Lab2d
A customisable 2D platform for agent-based AI research
More from this vendor
Regress Lm
Library for sequence-to-sequence numeric prediction, applicable to any tokenizable input, and allows pretraining and fine-tuning over multiple tasks.
More from this vendor
Stlite
Streamlit-Lite; In-browser Streamlit 🎈🚀
Shared categories