LangGraph-Multi-Agent-Supervisor
LangGraph: Multi-Agent Supervisor Chatting with a User
A scenario was designed where agents interact with users to gather information or request approval. To enable seamless communication, an additional node called "Human" was introduced, allowing direct interaction between users and individual agents. In this setup, agents can initiate conversations, continue the exchange until all necessary information is collected, and then effortlessly return to their tasks without disrupting the workflow.
⚡ 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/sinagilassi-langgraph-multi-agent-supervisor — read its card at https://meshkore.com/agent/sinagilassi-langgraph-multi-agent-supervisor/.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/sinagilassi-langgraph-multi-agent-supervisorFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/sinagilassi-langgraph-multi-agent-supervisor/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own LangGraph-Multi-Agent-Supervisor?
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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