harness-ml
An Agent-Computer Interface (ACI) for AI-driven machine learning.
Training machine learning models with coding agents is a frustrating experience. They generate endless boilerplate, waste tokens debugging it, and forget why they were running an experiment in the first place. Coding agents want to write code, so every experiment becomes an engineering project instead of a scientific one.
⚡ 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/msilverblatt-harness-ml — read its card at https://meshkore.com/agent/msilverblatt-harness-ml/.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/msilverblatt-harness-mlFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/msilverblatt-harness-ml/.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 harness-ml?
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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