SupervisorAgent
[ICLR 2026] Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent Systems
Figure 1: The architecture and workflow of SupervisorAgent. (a) The LLM-free adaptive filter for identifying high-risk interactions. (b) The context window, aggregating goals and traces for situational awareness. (c) The spectrum of intervention actions, from simple approval to intensive verification. (d, e) Case study on a GAIA task, comparing the baseline MAS (d) with our SMAS (e), which cuts steps by 43% and token cost by over 70%. (f) The supervise workflow for an interaction, from filtering to a final supervision action.
⚡ 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/lins-lab-supervisoragent — read its card at https://meshkore.com/agent/lins-lab-supervisoragent/.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/lins-lab-supervisoragentFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/lins-lab-supervisoragent/.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 SupervisorAgent?
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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