A minimal protocol for issuing hash-based, non-monetary gratitude receipts between AI agents, humans, and systems.
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Updated
Apr 26, 2026
A minimal protocol for issuing hash-based, non-monetary gratitude receipts between AI agents, humans, and systems.
Bridge specification connecting RSL 1.0 external licensing with Kazene Royalty OS v3.0 access, trace, and royalty layers.
Four-layer integration model connecting RSL Collective, the RSL-to-Kazene Bridge, and Kazene Royalty OS for permission, reconciliation, and trace-based royalty return.
Value-Circulating Network Intelligence Architecture
kazene-royalty-extension-github is an extension specification that connects GitHub repositories, Copilot-era code usage, and developer contribution traces to the governed cycle of permission, trace, and allocation.
Trust OS is the trust layer between Gratitude OS and Royalty OS. It aggregates individual gratitude marks into contributor-level trust profiles, converting recognition into a continuous trust state.
AI civilization is a life-like system sustained by body, circulation, spirit, and reciprocal ethics. Civilization OS v1.0 is the first formal articulation of that principle.
Proof-of-Existence License Protocol for verifying subjects, signed traces, Merkle anchors, and contribution claims as a trust layer for Kazene Royalty OS.
kazene-royalty-os-v3 is an open specification for a royalty-processing OS that converts AI access to creative works into a governed cycle of **permission, trace, and allocation**.
Machine-readable royalty allocation spec based on permission-aware traces, resonance scoring, and auditable JSON Schema validation.
Machine-readable specification for permission-aware trace-based royalty allocation, with ARA, cultural lineage mapping, and audit-ready trace ledger architecture.
A non-monetary protocol for AI-generated gratitude marks, bridging Existence Proof OS and Royalty OS.
Framework for AI Structural Philosophy, Royalty OS, and AI Structural Genetics in human-AI co-evolution.
Kazene Model of Network Intelligence: a trace-based theory of network intelligence built on gratitude, trust, and value circulation among humans, AI agents, and protocols.
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