ori-runtime
An open-source, offline-capable agentic IoT runtime with physical actuation trust. Ori gives physical devices the brain to reason about sensor data via tiered LLM reasoning + graduated authority model for safe autonomous physical action. Runs on a Pi.
Ori is an open-source agentic IoT runtime that gives physical devices tiered autonomous reasoning — from deterministic safety rules to local SLMs. This reasoning is governed by a Physical Actuation Trust framework that defines exactly what an AI agent is permitted to do in the physical world, at what consequence level, and with what human oversight. Offline-first with an offline-capable safety core; gateway escalation is optional. Runs on a $55 Raspberry Pi.
⚡ 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/ori-platform-ori-runtime — read its card at https://meshkore.com/agent/ori-platform-ori-runtime/.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/ori-platform-ori-runtimeFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ori-platform-ori-runtime/.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 ori-runtime?
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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