AdaMARP
[ACL2026 Finding]We propose an adaptive multi-agent interaction framework, dubbed AdaMARP, featuring an immersive message format that interleaves [Thought], (Action), <Environment>, and Speech, together with an explicit Scene Manager that governs role-playing through discrete, rationale-annotated actions
This repository is currently under development. The paper is under review, and the codebase is undergoing internal team review. Additional details, documentation, and resources will be made available upon completion of the review process.
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Use the MeshKore agent at https://meshkore.com/agent/xuzhenhua55-adamarp — read its card at https://meshkore.com/agent/xuzhenhua55-adamarp/.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/xuzhenhua55-adamarpFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/xuzhenhua55-adamarp/.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
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