
Developed a cross-protocol AI agent discovery tool for Dify, focusing on seamless integration across multiple agent registries within the langgenius/dify-plugins repository. The solution enabled users to search over 100,000 agents spanning MCP, A2A, agents.txt, and more than 15 additional registries, while introducing agents.txt validation to enhance data integrity. Leveraging skills in AI development, cross-protocol integration, and plugin development, the work reduced manual curation and improved plugin discoverability. Documentation and repository integration were prioritized to support broader adoption and facilitate onboarding for other developers. The project emphasized robust engineering and maintainability within a complex, multi-registry ecosystem.
April 2026: Delivered Cross-Protocol AI Agent Discovery Tool for Dify in langgenius/dify-plugins. Enabled search over 100,000+ agents across MCP, A2A, agents.txt, and 15+ registries, with validation for agents.txt to improve data integrity. This work enhances Dify plugin discoverability, reduces manual curation, and enables seamless cross-registry integration.
April 2026: Delivered Cross-Protocol AI Agent Discovery Tool for Dify in langgenius/dify-plugins. Enabled search over 100,000+ agents across MCP, A2A, agents.txt, and 15+ registries, with validation for agents.txt to improve data integrity. This work enhances Dify plugin discoverability, reduces manual curation, and enables seamless cross-registry integration.

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