multi-agent-coordination
A Python library to simulate how specific behaviours or strategies evolve as dominant choices in multi-agent coordination games on social networks.
This library is used to understand how specific actions or choices can evolve as the dominant choices when agents donot have any specific choices to begin with and they form their opinions based upon their interactions with other agents repeatedly. Agents have incentives to coordinate with other agents and are connected with each other through a specific social network. The strategies or actions which satisfy the norm criteria are potential candidates for setting the norm. In simple terms, norm is something which is played by more number of agents and for a longer periods of time.
⚡ 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/ankur-tutlani-multi-agent-coordination — read its card at https://meshkore.com/agent/ankur-tutlani-multi-agent-coordination/.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/ankur-tutlani-multi-agent-coordinationFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ankur-tutlani-multi-agent-coordination/.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 multi-agent-coordination?
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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