chat-flock
Driving Dynamic Multi-Participant Chat Interactions for AI and Human Discourse 🤖
ChatFlock is a Python library that revolutionizes the way multi-participant chats are conducted by integrating Large Language Models (LLMs) at its core. Born from first principles design, it not only simplifies orchestrating complex chat scenarios but also introduces an innovative structure that mirrors organizational communication.
⚡ 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/doodledood-chat-flock — read its card at https://meshkore.com/agent/doodledood-chat-flock/.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/doodledood-chat-flockFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/doodledood-chat-flock/.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
Do you own chat-flock?
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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