Evolution Vector Memory (EVM) v3.0 — Unified Directed Interaction-State Continuity Standard

Evolution Vector Memory (EVM) v3.0 is a deterministic interaction-state continuity framework for long-term AI systems. EVM introduces a directed vector-based ontology in which every interaction is represented as a bounded, reconstructable state transition inside a normalized multidimensional interaction-space. The framework formalizes interaction continuity, trajectory evolution, bounded identity dynamics, deterministic reconstruction, and runtime continuity enforcement without modifying the underlying language model itself. The architecture is fully model-agnostic and operates as an external continuity layer compatible with existing AI systems, including OpenAI, xAI, and local model runtimes. EVM does not require retraining, fine-tuning, weight modification, or semantic vector databases. EVM v3.0 preserves the complete core ontology introduced in earlier EVM versions while extending:• deterministic runtime implementation,• operational continuity analysis,• interoperability formalization,• append-only telemetry architecture,• bounded identity recovery dynamics,• and live-environment deterministic stability validation. This release also formalizes the naming transition from:“Emotion Vector Memory”to:“Evolution Vector Memory” The abbreviation “EVM” remains unchanged. The transition reflects the broader operational scope of the architecture beyond emotional or affective modeling. The publication includes:• the complete English normative specification,• deterministic runtime architecture definitions,• vector ontology and axis formalization,• identity-state continuity mechanics,• logging and reconstruction architecture,• runtime validation results,• and operational limitations and analytical horizons. A full Hungarian translation is also included as a separate companion document. EVM v3.0 includes the first full live-environment 100-turn deterministic runtime validation demonstrating:• zero boundary violations,• stable bounded evolution,• deterministic continuity preservation,• reconstructable identity dynamics,• and operational runtime viability. License:CC BY-NC-ND 4.0 Author:Szabolcs KrehlikORCID: 0009-0003-8623-7876