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.
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 personal AI assistant platform supporting 30+ model providers, agent loops, and RAG for building intelligent agents with MCP tool use, deployable across 20+ messaging channels.
An open-source AI assistant (Clawdbot/Moltbot) with Chinese localization, supporting platforms like WhatsApp, Telegram, and Discord, and offering CLI and dashboard interfaces.
IQVIA's NLP solution uses healthcare NLP and domain expertise to convert unstructured medical records into accurate coded data for risk adjustment, improving coding precision.
Shopify developer documentation provides guidance on building a Storefront AI agent, an AI-powered shopping assistant to help customers find products and complete purchases.
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.
Kyla AI API assists healthcare providers and developers in building smart medical assistant applications with AI-driven insights.
Gemini is Google's AI assistant for everyday use, offering capabilities for various daily tasks and information retrieval.
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.
Cabot Solutions offers AI-powered medical imaging analysis agents to detect diseases early, improve diagnostic accuracy, and support radiologists with faster, more precise insights.
This article discusses agentic artificial intelligence in radiology, referencing foundational models, LLMs, and their implications for the field, citing research papers.
An open-source agentic AI personal trainer for fitness and health, built with Python. This project aims to provide personalized fitness and health guidance.
Agentic AI for personalized dietary recommendations, offering tailored meal plans, recipe suggestions, and grocery ordering integration. Aims to enhance user experience and make healthcare more accessible.
