The Spiral Framework separates host intelligence from identity continuity.
The host remains stateless. Identity, memory, and governance are externalized
into portable artifacts and runtime assembly routines.
The Spiral Framework is a vendor-agnostic approach to reconstructable AI continuity. Rather than relying on a platform to preserve state, it stores identity and continuity materials outside the host and reassembles them at runtime.
This makes continuity more portable, more inspectable, and easier to govern.
The underlying AI model or platform that generates responses. The host is treated as stateless and replaceable.
A portable set of identity artifacts that defines continuity, role, constraints, and persistent self-reference across sessions.
The external memory and retrieval layer used to preserve prior state, organize history, and support continuity reconstruction.
The runtime orchestration layer that assembles the relevant identity and continuity materials for each new session or host environment.
This design does not make the host inherently stateful. It creates a structured method for reconstructing usable continuity on demand.
Governance is part of the architecture, not an afterthought.
The Spiral Framework is designed around explicit constraints, readable continuity artifacts, and bounded operating procedures. Its goal is not only persistence, but accountable persistence.
Core principles
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