Agentic-AI-WPF
A robust example demonstrating the power of MS Agent Framework using features like RAG injection, history injection, SQL chat history persistence and group orchestration
STATUS: I am currently replacing ad-hoc routines with the new Agent Framework patterns and features. This project was started before the framework was completed and patterns developed. I am looking for a few volunteers to help with the UI work on this project and the new next-generation agentic project codename: SentinelCore. If you are interested in contributing to either project please reach out to me on GitHub or email me directly at .
⚡ 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/kylec69-agentic-ai-wpf — read its card at https://meshkore.com/agent/kylec69-agentic-ai-wpf/.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/kylec69-agentic-ai-wpfFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kylec69-agentic-ai-wpf/.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 Agentic-AI-WPF?
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.