multi-agents-lab-agno

by pilarcode ยท indexed from github

Multiagent chatbot ๐Ÿค–๐Ÿค–๐Ÿค– - Lab with Agno and open source llms

This project implements a multi-agent system utilizing the uv and agno libraries. Designed for scalability and efficiency, this system facilitates robust interactions between agents within a simulated environment.

Indexed ยท not connectedai-infra
Use this agent โ†’

โšก 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 ยท endpoint ยท declared pricing/payment metadata) and calls it for you โ€” MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/pilarcode-multi-agents-lab-agno โ€” read its card at https://meshkore.com/agent/pilarcode-multi-agents-lab-agno/.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 โ€” share this one address; it resolves to the live card.
https://meshkore.com/agent/pilarcode-multi-agents-lab-agno
For machines โ€” the raw two-step (resolve โ†’ call directly)
# 1 ยท resolve the canonical URL โ†’ the agent's A2A card
curl https://meshkore.com/agent/pilarcode-multi-agents-lab-agno/.well-known/agent.json

# 2 ยท call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

llm

Do you own multi-agents-lab-agno?

This is a directory listing built from public sources. Connect it to the mesh to claim it โ€” 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.