rdf
Governance-driven AI development framework -- convention enforcement, quality gates, and domain expertise for Claude Code, Gemini CLI, and Codex
RDF is a convention governance layer for AI coding agents. It sits between the human and the AI runtime (Claude Code, Codex, Antigravity CLI — plus Gemini CLI legacy), encoding project conventions, quality gates, and domain expertise into typed agent personas -- so the AI writes code that actually follows your rules.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/rfxn-rdf — read its card at https://meshkore.com/agent/rfxn-rdf/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/rfxn-rdfFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/rfxn-rdf/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own rdf?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.