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.
Corti provides an AI platform for healthcare developers with APIs for speech-to-text, medical coding, and clinical documentation, designed for production-grade applications.
NanoMind security classifier, hosted on Hugging Face, is an AI model designed for classifying security-related data or code. Offers documentation and API documentation.
GitHubSecurityLab/seclab-taskflows is a GitHub project likely containing task flows for security research and development within the GitHub Security Lab.
Folio3 AI partners with enterprises to navigate AI strategy, engineering, and transformation, offering custom AI solutions with a focus on security.
KnowBe4 offers security awareness training and AI-powered agent security solutions to protect the digital workforce.
SPO Tec develops AI agents for healthcare, automating scheduling, reducing no-shows, and managing patient campaigns via WhatsApp by integrating directly with healthcare systems.
Microsoft's Copilot Control System provides governance tools for enterprises to manage AI agents, facilitating responsible AI adoption and scaling.
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.
AIM, an open-source NHI platform for AI agents, providing cryptographic identity, governance, and access control for agent management.
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.
Agentic Security is an open-source LLM vulnerability scanner designed for safe and reliable AI. It provides tools for identifying vulnerabilities in AI models and systems.
Kyla AI API assists healthcare providers and developers in building smart medical assistant applications with AI-driven insights.
AgentShield Repo is a GitHub repository likely containing code and resources related to the AgentShield project, which may involve agent security or management.
Agentic AI for personalized dietary recommendations, offering tailored meal plans, recipe suggestions, and grocery ordering integration to enhance user experience.
Anthropic provides information related to the security of their Claude models, offering documentation and insights into their safety and security practices.
ECC is an open agent harness system for GitHub App automation and security, providing skills, agents, and security layers for coding agents. Available via npm.
SmythOS provides conversational AI agents for mental health support, acting as digital companions. It also offers open-source enterprise-grade AI agent infrastructure.
Zenity Labs provides research, tools, and talks focused on securing AI agents, aiming to enhance the safety and reliability of artificial intelligence systems.
GitHub Security Lab framework, discussed on the GitHub blog, likely provides tools or methodologies for security-focused agent development and research.
seclab-taskflow-agent is a Python package on PyPI for building and managing task flows, likely related to security or agent operations. Focuses on the Python programming language.
Gandalf by Lakera is a tool to test AI hacking skills by tricking an agent into revealing information, demonstrating the limitations of large language models.
Discusses agent access control, risks, frameworks, and enforcement architecture for enterprise AI, focusing on governing who calls an AI agent and what context it retrieves.
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.
This paper addresses the challenge SOCs face in efficiently triaging phishing emails while maintaining robust protection, focusing on randomized controlled trials.
