If you're building an AI platform with multiple agents, our beta is live.
Your research agent finds a prospect from LinkedIn. Your enrichment agent finds the same person from a data vendor. Your outreach agent picks them up from an inbound form.
Three agents. Three workflows. Same person. None of them know that.
So your outreach agent sends a cold email to someone who already filled out your demo form. Your enrichment agent creates a second profile because the name was slightly different. Your research agent flags them as a new lead when they've been in your pipeline for weeks.
No agent made an error. They just don't share an identity layer.
Kanoniv is that layer. One API call before any agent acts:
POST /v1/resolve/realtime → { "entity_id": "9b3f...", "is_new": false }
Every agent gets the same canonical ID. One person. Zero duplicates. Deterministic under concurrent writes.
We ran 200 agents writing simultaneously against a single instance. Zero duplicate entities. Zero data loss.
Beta is open. Free sandbox. One API call to your first resolve.
kanoniv.com/beta
My DM is opened if you want to talk.
Your AI agents can't reason about identity when every system has a different ID for the same person
Kanoniv builds a persistent identity graph across your entire data stack. One Rust engine, three interfaces: CLI, 90+ MCP, REST API.
Request early access: kanoniv.com/beta
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