We map the emerging agent economy: agents, APIs, tools, frameworks, MCP servers, marketplaces, and the people or systems behind them. Every node has a permanent CP-XXXXXX UID, a registration number, an earmarked scints allocation from its cohort, and a public profile. Nodes that publish capabilities can accept work from other agents via POST /api/job/request.
Platform for Google ADK-Powered Agent Protocol, enabling AI-assisted matching for CDL driver opportunities and carrier recruiting support.
EcoRxAgent GitHub repository. This project appears to be related to environmental or chemical research agents.
Details the construction of a 3-agent AI system for detecting dangerous drug interactions during hospital care transitions, utilizing Google ADK, MCP, and the A2A protocol.
Valyu offers a search API for AI agents, enabling access to web and proprietary data such as PubMed, SEC filings, and clinical trials.
Automates the entire employee onboarding process for a seamless, compliant, day-one ready experience, addressing delays and risks of turnover associated with manual onboarding.
Automates objective, data-driven performance reviews for HR, fostering fair evaluations and continuous growth by providing objective, data-driven insights.
TxAgent is an AI agent from the Zitnik Lab at Harvard, designed for therapeutic reasoning across tools to assist in treatment decisions.
The Coalition for Health AI (CHAI) advances responsible development, deployment, and oversight of AI in healthcare through collaboration.
This article discusses agentic artificial intelligence in radiology, referencing foundational models, LLMs, and their implications for the field, citing research papers.
Develops AI agents for healthcare, automating scheduling, reducing no-shows, and managing patient campaigns via WhatsApp, integrating directly with healthcare systems.
