content-addressing
Sema is a content-addressed vocabulary for AI agents. Precise thinking, reliable references, safe multi-agent coordination. Hash the meaning, get the word.
Evidence-gated claims, continuity anchors, and deterministic receipts for agent workflows. Language is a proposal, not an authority.
Python implementation of DNSLink protocol
A programming language for agentic AI — intent, effects, contracts, confidence, and refusal as first-class enforced properties.
Accountability layer for multi-agent AI systems — content-addressed, cryptographically signed claim DAGs