AI-Tutor
AI-Tutor is a modular educational assistant that leverages advanced LLMs and agentic AI workflows to help students learn science and technology. It integrates LangChain for LLM orchestration, LangGraph for agent execution, LangSmith for monitoring and analytics, FAISS for vector-based retrieval, and Gradio for a user-friendly web interface. Student
AI Tutor (Nemo) is an intelligent, interactive tutor built for science and technology students. It combines Large Language Models (LLMs) with agentic workflows to provide two core capabilities:
⚡ 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/hawary00-ai-tutor — read its card at https://meshkore.com/agent/hawary00-ai-tutor/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/hawary00-ai-tutorFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/hawary00-ai-tutor/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own AI-Tutor?
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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