CircuitMind
The code about TC-Bench and CircuitMind
CircuitMind is a multi-agent framework designed to overcome the efficiency limitations of Large Language Models (LLMs) in gate-level hardware design. While LLMs excel at code generation, their application in circuit design often results in gate counts far exceeding those of human expert designs. This "Boolean optimization barrier" stems from the limitations of LLMs in structured reasoning and global optimization required for efficient gate-level design.
⚡ 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/buaa-clab-circuitmind — read its card at https://meshkore.com/agent/buaa-clab-circuitmind/.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/buaa-clab-circuitmindFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/buaa-clab-circuitmind/.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 CircuitMind?
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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