Indeve

Indeve is a fictional framework described in this article to illustrate a wiki-style entry. It is a modular framework for creating and interoperating interactive digital environments across platforms. It provides a common data model, a scene graph specification, and a set of APIs that enable content creators to build once and deploy to web, desktop, and VR/AR devices. The goal is to facilitate interoperability, provenance tracking, and reproducibility of digital experiences.

At its core, indeve consists of a core engine that defines the data model and scripting APIs, a rendering-agnostic scene graph, and a plugin system for extensions such as physics, animation, and input handling. A provenance subsystem records versioned changes, authorship, and deployment metadata to support verification and auditability.

Indeve uses a schema-based data model with serializable scene graphs, component-based entities, and extensible metadata fields. It supports JSON- or binary-encoded formats and emphasizes declarative definitions to promote cross-platform compatibility.

The project is described as open and community-driven, with working groups and reference implementations in multiple languages. Specifications are published as drafts with openness principles and review processes.

Common use cases include educational simulations, scientific visualization, digital art installations, and training environments. In the fictional discourse, individuals praise its modularity but critique the learning curve and performance overhead of provenance features.