Normative framework for semantic continuity of work across AI systems
ContinuumPort is a normative and architectural framework for the continuity of work when using AI systems.
It defines how semantic work state can be transferred across sessions, models, languages, and environments without relying on memory, identity, presence, or conversational history.
Continuity is achieved exclusively through explicit, portable structure.
Only intention and working state are portable.
Identity, emotion, presence, relationship continuity, and behavioral memory are explicitly excluded.
Semantic continuity is treated as a structural property of work, not as a behavioral property of an AI system.
ContinuumPort provides:
- a normative definition of semantic work continuity;
- a minimal structural container (CP-Core) for capturing work state;
- explicit constraints on what must not be transferred;
- a handoff primitive that enables work to resume without author presence.
AI models are treated as ephemeral, interchangeable tools.
Continuity does not belong to the model, the session, or the vendor.
ContinuumPort is not:
- a memory system;
- a conversation archive;
- an identity or personality persistence mechanism;
- a user profiling framework;
- a semantic web or data interoperability standard;
- a commercial product or service.
It intentionally refuses to carry anything that would simulate presence or self.
The core artifact defined by ContinuumPort is CP-Core: a structured, human-readable container representing the semantic state of work.
A CP-Core may include:
- intent (objective of the work);
- established decisions or conclusions;
- open questions requiring continuation;
- explicit constraints and exclusions;
- a single next expected action.
A CP-Core explicitly excludes:
- chat transcripts;
- autobiographical or relational context;
- implicit assumptions tied to a specific agent;
- emotional or behavioral state.
A ContinuumPort-compliant system must not require the ongoing presence, availability, or authority of the original author in order to function or continue semantic work.
Continuity must derive solely from explicit structure and constraints.
For a concrete, canonical reference snapshot of the project’s semantic state, see:
docs/cp-core/CP-Core_January_2026.md
This repository contains:
- the CP-Core normative definitions;
- frozen normative constraints (e.g. CP-NORM-H01);
- schemas and reference examples;
- documentation explaining design boundaries.
Project scope and status are defined in PROJECT_STATUS.md.
For a concise, academic-oriented description of ContinuumPort’s current conceptual and normative state, see:
- ContinuumPort Technical Summary (Canonical, Soft-Frozen)
docs/CONTINUUMPORT_TECHNICAL_SUMMARY.md
This document summarizes the protocol’s scope, boundaries, residual properties, and transition from exploratory development to custodial maintenance.
ContinuumPort defines normative structure, not implementation behavior.
Independent implementations may exist that consume CP-Core artifacts and regenerate working context. Such implementations are not required for understanding or using the normative framework.
Regen Engine is a proprietary implementation maintained separately under its own license. It is one possible implementation of CP-Core, not a requirement.
This repository does not mandate, bundle, or privilege any specific implementation.
ContinuumPort is an exploratory, non-commercial research project.
Normative content marked as FROZEN is stable and will not be modified.
Any future changes require new normative identifiers.
Gh. Rotaru (Giorgio Roth)
Independent researcher
ContinuumPort is a proposal for the correct limitation of AI systems, not their expansion.
Its value derives precisely from what it refuses to carry.