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.
Kyla AI API is a tool for healthcare providers and developers to build smart medical assistant applications, offering AI-powered action plans.
The AI Doctor API is an advanced AI-powered medical chatbot for real-time symptom analysis, health diagnosis, and virtual medical assistance, enhancing healthcare platforms.
Open-source AI-powered browser automation tool enabling users to interact with web pages via natural language for automated browsing and data extraction.
Gardenia Technologies partnered with AWS to develop Report GenAI, an automated ESG reporting solution using agentic AI on Amazon Bedrock to reduce sustainability reporting time.
EcoRxAgent GitHub repository. This project appears to be related to environmental or chemical research agents.
Explores the application of agentic systems in Treasury and Liquidity Management (TLM) to optimize cash flow, manage risk, and ensure real-time regulatory compliance.
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.
Example of creating a workflow agent or add-in for Kofax Capture, demonstrating integration with capture systems.
Kyla AI API assists healthcare providers and developers in building smart medical assistant applications with AI-driven insights.
PeerSpot provides comparisons and reviews for enterprise technology, including AI agents for wholesale lockbox automation and accounts payable.
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 by integrating directly with healthcare systems.
AI platform for healthcare developers with APIs for speech-to-text, medical coding, and clinical documentation, designed for production-grade applications and HIPAA compliance.
