Welcome to Dooders, an open-source project researching the emergence of intelligent agents within a computational model of reality. Its mission is to advance the understanding of agency through continuous exploration and experimentation, demonstrating the potential value of agent-based systems learning.

All research and development is in the early stages.

• Research platform for multi-agent systems with AgentFarm
• A modular memory backend for AI agents with AgentMemory.
• Modeling a biological cell with Pyology.
• Exploring the Agent and Arena relationship with Dooders.
• Physics inspired universes with Fizicks.
• A Temporal simulation engine with TimeBandit.
• Evolutionary algorithms with ContinuousEvolution.
• Autonomous and independent agents with AnarchyGraph.

Any contributions are welcome! Whether it's bug fixes, new features, or improving documentation, your help is appreciated. Please refer to the CONTRIBUTING.md file in each project repository for guidelines on how to contribute. Or see the general version here

For any inquiries or further information, please contact at doodersai@gmail.com.

All projects under the Dooders organization are open-source and licensed under the MIT License. See the LICENSE file in each repository for more details.