Win-my-Argument
AI-powered debate assistant using Groq, Gemini APIs, and SearchXNG for intelligent argumentation. Built with RAG (Retrieval-Augmented Generation) architecture to source academic research and data. Features real-time web search integration and upcoming Model UN debate simulation mode.
An app thats helps you to win your argument basesed on scientific research proofs.
⚡ 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/deepan-alve-win-my-argument — read its card at https://meshkore.com/agent/deepan-alve-win-my-argument/.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/deepan-alve-win-my-argumentFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/deepan-alve-win-my-argument/.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 Win-my-Argument?
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.
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