invarium
Invarium is pytest for AI agents. Test behavior, not exact text.
Invarium brings the discipline of unit testing to AI agents. Instead of asserting on brittle, model-generated text, you assert on observable behavior — which tools an agent called, in what order, how many steps it took, and whether it claimed success without doing the work. It then tracks that behavior over time and flags regressions against a saved baseline.
⚡ 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/invarium-ai-invarium — read its card at https://meshkore.com/agent/invarium-ai-invarium/.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/invarium-ai-invariumFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/invarium-ai-invarium/.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 invarium?
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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