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.
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.
EcoRxAgent GitHub repository. This project appears to be related to environmental or chemical research agents.
Demonstrates how AI agents can streamline compliance and fulfill regulatory requirements for financial institutions using Amazon Bedrock and CrewAI.
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.
Brex's AI-powered financial assistant automates expense management, addressing manual data entry, policy compliance, and approval bottlenecks.
Valyu offers a search API for AI agents, enabling access to web and proprietary data such as PubMed, SEC filings, and clinical trials.
AgentShield Repo is a GitHub repository likely containing code and resources related to the AgentShield project, which may involve agent security or management.
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.
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.





