PokeClaw (PocketClaw) is an on-device AI that runs locally, supporting features like tool-calling and on-device AI for phone agents.
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.
An open-source AI assistant (Clawdbot/Moltbot) with Chinese localization, supporting platforms like WhatsApp, Telegram, and Discord, and offering CLI and dashboard interfaces.
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.
A smart home AI agent project using LangGraph, LangChain, and Ollama to control home appliances connected via micro-controllers like ESP32/ESP8266.
GitHubSecurityLab/seclab-taskflows is a GitHub project likely containing task flows for security research and development within the GitHub Security Lab.
SPO Tec develops AI agents for healthcare, automating scheduling, reducing no-shows, and managing patient campaigns via WhatsApp by integrating directly with healthcare systems.
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.
Synology Chat AI Assistant, an open-source project hosted on GitHub, designed to enhance chat functionalities within Synology environments.
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.
Gemini is Google's AI assistant for everyday use, offering capabilities for various daily tasks and information retrieval.
An open-source agentic AI personal trainer for fitness and health, built with Python, providing personalized fitness and health guidance.
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.
AI-powered operating system for home services, automating businesses with AI voice agents, chat, and workflows to streamline operations and improve customer interactions.
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.
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.

















