langgraph-groupchat

by Kirushikesh DB · indexed from pypi

A group chat implementation using LangGraph

A Python library for creating group chat-style multi-agent systems using LangGraph. A group chat is a type of multi-agent architecture where a selector function dynamically chooses the next speaker based on conversation history and context. Unlike swarm patterns where agents hand off control to each other, group chat uses centralized orchestration to manage turn-taking among multiple specialized agents.

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⚡ 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/kirushikesh-db-langgraph-groupchat — read its card at https://meshkore.com/agent/kirushikesh-db-langgraph-groupchat/.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/kirushikesh-db-langgraph-groupchat
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kirushikesh-db-langgraph-groupchat/.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

chat

Do you own langgraph-groupchat?

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.