Execute_Ai_Genesis_Hackathon_Lablabai_april2025
ShopSmart.Ai - An intelligent shopping Assistant built with CRewAi
Welcome to the ShopSmart.AI repository! This project is an Intelligent Shopping Assistant, built for the Execute: AI Genesis Hackathon 2025. It enhances shopping experiences using multi-agent collaboration and end-to-end AI services via AIMLAPI, providing personalized product recommendations, review analysis, and voice interaction — all in one place.
⚡ 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/sheemamasood381-executeaigenesishackathonlablabaiapril2025 — read its card at https://meshkore.com/agent/sheemamasood381-executeaigenesishackathonlablabaiapril2025/.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/sheemamasood381-executeaigenesishackathonlablabaiapril2025For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sheemamasood381-executeaigenesishackathonlablabaiapril2025/.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 Execute_Ai_Genesis_Hackathon_Lablabai_april2025?
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.