Modular and extensible middleware for deploying autonomous agents across federated research ecosystems, including HPC systems, experimental facilities, and data repositories.
Get StartedBuilt for high-performance scientific computing with support for asynchronous task execution and non-blocking operations across distributed resources.
Seamlessly integrates diverse computing resources including HPC clusters, experimental facilities, and cloud infrastructure.
Optimized for handling massive scientific datasets with efficient data flow management and streaming capabilities.
Advanced abstractions for expressing intelligent agents with persistent state and memory across workflow executions.
Sophisticated communication and coordination mechanisms enabling complex multi-agent scientific workflows.
Direct integration with experimental control systems and scientific instruments for automated research workflows.
Deploy agents across multiple HPC systems to accelerate materials research through automated synthesis, characterization, and analysis workflows that adapt based on experimental results.
Coordinate federated machine learning across distributed research institutions while maintaining data privacy and enabling collaborative model development.
Orchestrate intelligent agents to extract, process, and synthesize information from diverse scientific databases and literature repositories in real-time.
Enable self-driving laboratories with agents that can design experiments, control instruments, analyze results, and iterate hypotheses automatically.
Automate complex scientific pipelines spanning multiple institutions, from data collection through analysis to publication-ready results.
Coordinate research activities across multiple facilities, enabling large-scale collaborative science with intelligent resource allocation.
Deploy your first federated agentic workflow in minutes
Create intelligent agents with custom behaviors using Academy's intuitive Python API and stateful agent abstractions.
Set up connections to your HPC systems, data repositories, and experimental facilities using Academy's resource management layer.
Launch your federated workflow across distributed resources with built-in coordination, monitoring, and fault tolerance.