Building Open-Source AGI Through Hierarchical Intelligence
Developing practical, modular, and resilient AI architectures for real-world applications.
DREAMv1
Distributed Reasoning and Execution Architecture for Multi-agents: A framework for building hierarchical multi-agent systems with practical applications.
- Hierarchical agent organization for efficient task handling
- Flexible communication protocols between agents
- Memory systems for knowledge persistence
- Monitoring and reflection capabilities
- Extensible design to integrate with external tools
Our Vision
Creating hierarchical multi-agent systems that combine practical implementation with innovative research.
Practical Approach
Building AGI systems that work in real-world scenarios, focusing on practical implementation and measurable results.
Modular Design
Developing flexible, modular architectures that can be adapted and scaled for different applications.
Open Development
Fostering collaboration and knowledge sharing through open-source development and community engagement.
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Join us in developing the future of artificial intelligence.
About HMAS.ai
HMAS.ai is dedicated to the development of Hierarchical Multi-Agent Systems with practical applications. We believe that truly intelligent AI systems require both the coordination capabilities of multi-agent architectures and the structural efficiency of hierarchical organization.
Our approach combines innovative research with pragmatic implementation, creating AI architectures that can solve real-world problems through decentralized coordination and specialized expertise.
Learn MorePractical Innovation
We prioritize approaches that solve real-world problems over purely theoretical constructs.
Open Collaboration
We believe in open-source development and transparent research that benefits the entire AI community.
Responsible Development
We are committed to building AI systems that are safe, ethical, and aligned with human values.
Join Our Community
Help shape the future of hierarchical multi-agent systems by contributing to our projects or collaborating on research.