concordia
A library for generative social simulation
Concordia is a library for constructing and running generative agent-based models that simulate interactions among entities in grounded physical, social, or digital environments. It uses an interaction pattern inspired by tabletop role-playing games: a special entity called the Game Master (GM) simulates the environment in which player entities interact. Entities describe their intended actions in natural language, and the GM translates these into appropriate outcomes e.g. checking physical plausibility in simulated worlds.
⚡ 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/google-deepmind-concordia — read its card at https://meshkore.com/agent/google-deepmind-concordia/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/google-deepmind-concordiaFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/google-deepmind-concordia/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own concordia?
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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