rulego-components-ai
A declarative AI agent framework built on RuleGo
A declarative AI agent development framework built on the RuleGo rule engine. It can be used to develop standalone AI agents or serve as the foundation for building AI coding assistants like Claude Code / OpenClaw. It adopts the rule chain as agent design philosophy, embedding LLM reasoning capabilities into event-driven rule chain workflows. Through JSON declarative configuration, 10 AOP aspects, unified abstraction of four tool categories, and multi-dimensional session management, it enables building production-grade agent applications.
⚡ 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/rulego-rulego-components-ai — read its card at https://meshkore.com/agent/rulego-rulego-components-ai/.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/rulego-rulego-components-aiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/rulego-rulego-components-ai/.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 rulego-components-ai?
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.