zanii-agents
Runtime for accountable AI agents: signed receipts for every action, human gates, injection defenses, hiring per proven task. Standard library only.
zanii-agents is a Python runtime for AI agents that a company can hire for a defined job and hold to account afterwards. Each tool call, human approval and run outcome is recorded as a signed, hash-chained receipt. With the optional Zanii packages, those receipts go to a public transparency log, the agent carries a signed CV built from the log, and payment is released per task only when the receipt is proven.
⚡ 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/zanii-zanii-agents — read its card at https://meshkore.com/agent/zanii-zanii-agents/.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/zanii-zanii-agentsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/zanii-zanii-agents/.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 zanii-agents?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.