BioAgents

BioAgents are autonomous AI-powered agents designed to execute specific tasks within the scientific research and development lifecycle. They act as decentralized researchers, analysts, and operators, integrating the power of AI with the transparent and interoperable infrastructure of web3. By bringing scientific agents on-chain, we can create a more cohesive, trustworthy, and economically-aligned ecosystem.

This section provides a comprehensive look into the world of BioAgents. Here's what you'll find:

• Conceptual Overview: A high-level look at why BioAgents are needed, how they will change the world of science, and how you can contribute.

• How BioAgents Work: A closer look at the BioAgents framework, its core components, and the data-to-discovery workflow.

• The Agentic Science Map: An overview of the broader scientific AI ecosystem, showing how different layers—from data sources to scientist-facing platforms—fit together and where BioAgents operate.

• Technical Deep Dive: A look under the hood at the technical architecture of BioAgents, how they are built, and how they interact with on-chain protocols.

• Example BioAgent: AubrAI: A case study of a real-world BioAgent, illustrating its specific function and how it contributes to the ecosystem.