When an AI agent needs a tool, how does it decide which one to use? This deep dive into AgentNode's resolution engine explains capability matching, trust scoring, compatibility filtering, and the algorithm behind autonomous tool selection.
A technical comparison of MCP (Model Context Protocol) and ANP (AgentNode Package) — architecture differences, compatibility, when to use which, and how AgentNode bridges both standards.
ANP (AgentNode Package) is the open standard that makes AI agent tools portable across every framework. Learn why pip, npm, and Docker fall short — and how ANP's manifest, permission model, and capability declarations solve the problem.
ANP (AgentNode Package) is the open package format that gives AI agents a universal way to discover, verify, and use tools across any framework. Learn how the manifest works, why typed schemas matter, and how ANP compares to existing approaches.
AI agents need more than what PyPI and npm provide. Learn why a dedicated agent tool registry with typed schemas, sandbox verification, and cross-framework portability is essential for the AI agent era.
Agent skills are portable, verified AI capabilities packaged in the ANP format. Learn how they differ from regular packages, why portability matters, and how the ANP standard enables cross-framework tool sharing.
AgentNode is the first registry and platform purpose-built for AI agent capabilities. Learn what agent skills are, how the ANP standard works, and why portable tools matter for the future of AI agents.