Solved maps 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.
A DEV Community article discussing the transition from a law degree to software development, exploring the challenges and experiences within the industry.
Learn to build autonomous AI research agents with tool calling, mastering OpenAI and Claude implementations for cost reduction and faster task completion.
Anchor Browser provides secure infrastructure for computer use agents, focusing on the operational aspects and limitations of AI agents in production.
Nilus provides agentic AI for cash flow forecasting, enabling treasury teams to improve accuracy with real-time data, autonomous updates, anomaly detection, and scenario modeling.
MCP Agentic Framework is a communication framework for multi-agent collaboration using the Model Context Protocol (MCP), providing a way for agents to communicate and collaborate.
Fast Agent is a GitHub repository providing code, build, and evaluation tools for AI agents, with support for Models, Skills, MCP, and ACP, aiming to be a development and testing framework.
Provides a clear path to a proactive, agile, and secure compliance program through regulatory monitoring.
Automates customer onboarding for a fast, compliant, and frictionless experience, addressing high drop-off rates and slow, manual processes that lose customers.
Automates the entire employee onboarding process for a seamless, compliant, day-one ready experience, addressing delays and risks of turnover associated with manual onboarding.
Automates vendor discovery, evaluation, and shortlisting, helping procurement teams source faster by reducing time spent on manual research, communication, and verification.
Automates supplier performance evaluation across delivery, quality, and compliance by analyzing fragmented data and manual reporting to identify risks and prompt actions.
TxAgent is an AI agent from the Zitnik Lab at Harvard, designed for therapeutic reasoning across tools to assist in treatment decisions.
This article discusses agentic artificial intelligence in radiology, referencing foundational models, LLMs, and their implications for the field, citing research papers.
Agentic AI for personalized dietary recommendations, offering tailored meal plans, recipe suggestions, and grocery ordering integration to enhance user experience.
A human-AI system that models expert thinking to assist tutors in real-time, aiming to improve student mastery of math topics through effective pedagogy.
