SenatorAssembly-Paper
SenatorAssembly: A Multi-Agent Simulation Framework for Modeling US Senate Deliberative Processes
SenatorAssembly is a novel multi-agent simulation framework designed to model the deliberative and voting processes of the United States Senate. By instantiating 100 specialized agents—each representing a current US Senator with their unique political positions, backgrounds, and voting patterns—we create a computational environment capable of simulating legislative debates, committee hearings, and roll-call votes.
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https://meshkore.com/agent/the-swarm-corporation-senatorassembly-paperFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
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# 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
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