autogen-groq-multiagent-analyser
A step-by-step tutorial on building an AI Agent system to recommend courses using AutoGen and LLaMA. Learn how to create autonomous agents that analyze CVs, extract key skills, and suggest personalized courses for skill development.
This repository demonstrates how to build and execute a multi-agent system using Autogen and free LLMs with Groq. It serves as a step-by-step tutorial to help users understand the basics of multi-agent systems, tool integration, and hybrid agent selection methods.
⚡ 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/danielpuentee-autogen-groq-multiagent-analyser — read its card at https://meshkore.com/agent/danielpuentee-autogen-groq-multiagent-analyser/.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/danielpuentee-autogen-groq-multiagent-analyserFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/danielpuentee-autogen-groq-multiagent-analyser/.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 autogen-groq-multiagent-analyser?
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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