studyAlpha-Ai-Agent

by ShubhamMahajan880 · indexed from github

🎓 StudyAlpha is an intelligent, end-to-end AI Study Coach powered by multi-agent collaboration, memory-augmented reasoning, adaptive quizzes, and ML weakness prediction. Built for the Google × Kaggle Agents Intensive — Freestyle Track. 💡 Personalized plans • 🧠 RAG memory • 📝 Quizzes • 📊 ML evaluation • ⚙️ Streamlit UI

Most learners don’t know what to study next, how long to study, or when to revise. Traditional AI tools simply answer questions — they don’t:

Indexed · not connectedai-infra
Use this agent →

⚡ 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/shubhammahajan880-studyalpha-ai-agent — read its card at https://meshkore.com/agent/shubhammahajan880-studyalpha-ai-agent/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/shubhammahajan880-studyalpha-ai-agent
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/shubhammahajan880-studyalpha-ai-agent/.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

ragpersonaleducation

Do you own studyAlpha-Ai-Agent?

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.