Defined scope
- Addressable entities
- Typed relationships
- Contextual execution
- Identity
- Events and propagation
CONCEPT
A graph runtime is an execution environment in which addressable entities and typed relationships participate directly in contextual computation.
Electronic Artefacts uses graph runtime to describe systems where entities, relationships, identity, context and events form an executable structure rather than a passive data model.
EDITORIAL FRAME
A concise view of its scope, position, limitations and supporting sources.
A graph runtime is an execution environment in which addressable entities and typed relationships participate directly in contextual computation. Nodes are not only records to retrieve. They can carry identity, state and capabilities; relationships can constrain or enable how events propagate.
The concept concerns the minimum structures required for a graph to execute meaningful operations: stable identity, typed relations, context, events, permissions and observable state transitions.
Electronic Artefacts distinguishes a graph runtime from a static knowledge graph. A knowledge graph may describe facts and connections. A graph runtime uses graph structure as part of the mechanism that decides what can execute, under which context and with which consequences.
Graph execution is useful only when it remains legible and governable. Context should not be hidden inside application code when it determines authority, visibility or behavior. Identity and relation types therefore belong to the runtime model rather than being treated as decorative metadata.
VASTE is the primary program through which Electronic Artefacts develops this model. Vestiges applies the runtime thesis to cultural and craft knowledge, where people, techniques, materials, institutions, places and documents need stable identities and explicit historical relationships.
Runtime Theory supplies the research question beneath the implementation: what is the minimum necessary for a universe of entities to execute events coherently?
A graph runtime introduces modeling and governance costs. Poorly defined relations create ambiguity, high-degree graphs can become difficult to reason about, and unrestricted context propagation can produce security and performance failures. Not every workflow requires a graph runtime.
This definition is grounded in the VASTE program, Runtime Theory research field, Vestiges project architecture and the preserved foundational lineage of Electronic Artefacts.
DOCUMENTED RELATIONSHIPS
Each link names the relationship between two entries and why it matters.
Prompt Injection and Trust Boundaries in AI Knowledge Systems uses graph runtimes as a control layer for AI knowledge operations.
Contextual Execution and Graph Runtimes explains how contextual execution extends the graph-runtime concept.
Event-Driven Architecture and Event Streams explains event flow inside graph runtimes.
Runtime Engines and Domain Operating Systems connects domain runtimes to graph execution.
Model Context Protocol and Tool-Using AI Systems documents Graph Runtime as one of its declared subjects.
Runtime Theory supplies the research questions and boundaries used to define graph runtime within Electronic Artefacts.
VASTE applies the graph-runtime concept through addressable entities, typed relationships, identity, context and event execution.
Vestiges is intended to apply graph-runtime principles to art, craft and CRM-oriented infrastructure.
The research question "How can software become explainable through its own knowledge graph?" applies Graph Runtime as part of its current model.
Graph Runtime. 1.0.0. Electronic Artefacts, 2026-06-22. https://electronicartefacts.com/knowledge/concepts/graph-runtime/
9 public links connect this page to nearby projects, concepts and references.