The Intellectual Property specifications establish an open, interoperable foundation for managing digital ownership, provenance, licensing, publishing, and media distribution across modern platforms. They emphasize verifiable authorship, transparent content lineage, semantic licensing, and structured knowledge management while enabling creators to retain control over their intellectual property throughout its lifecycle. By combining AI-assisted verification, graph-based content organization, and automated compliance capabilities, they help organizations build trustworthy ecosystems where digital assets remain traceable, reusable, and properly attributed.
Beyond protecting ownership, the specifications support the complete creation, presentation, and commercialization of digital content. They include technologies for immersive multimedia production, interactive project publishing, public media infrastructure, modular content relationships, and direct creator-to-audience distribution models. Together, they promote open standards, interoperability, decentralized governance, and sustainable creator economies, making it easier to build scalable platforms that respect intellectual property while encouraging innovation, collaboration, and transparent reuse.
All specifications are released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+) and may be freely used with the required attribution provisions outlined in Section 7 of the license. Organizations seeking attribution-free commercial deployment may obtain a Specification Branding License, with pricing based on the specification category, deployment scale, and the size of the environment in which it is implemented.
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AgoraTV Module Specification
https://roxanneardary.com/agoratv/
An open-source, democratically owned global broadcasting platform that empowers independent voices through public media infrastructure, multilingual accessibility, and transparent governance. It creates a modern digital public square for community-driven television and broadcasting without corporate gatekeeping. -
Audiovista Module Specification
https://gitlab.com/Roxanne_Ardary/Audiovista
Cinematic AI engine that synchronizes audio and video with professional precision (dialogue, sound effects, ambient audio, and adaptive music). Supports physics-aware, predictive, and interactive features for VR/AR, multi-track editing, real-time previews, and immersive content creation. -
AuthTrace AI Module Specification
https://roxanneardary.com/authtrace-ai/
A provenance-first AI system that verifies authorship, tracks content lineage, and transforms human knowledge into structured, licensable digital assets. It focuses on content ownership, traceability, and IP management. -
BranchWeb Module Specification
https://roxanneardary.com/branchweb/
AI-powered platform that turns GitHub or GitLab repositories into interactive, deployable websites with AI-generated images, hover effects, dynamic visualizations, and explorable interfaces for projects and content. -
ContentGraph Module Specification
https://roxanneardary.com/contentgraph/
A relational layer over WordPress (and similar systems) that transforms pages and posts into a structured, graph-based system using modular Spec Containers for improved content organization, connectivity, and management. -
EpisodeMarket Module Specification
https://roxanneardary.com/episodemarket/
An open, atomic media commerce platform where television shows, films, and serialized content are sold as individual episodes rather than bundled subscriptions. It enables creators to set per-episode pricing and supports a direct content economy. -
License Guardian Network Module Specification
https://roxanneardary.com/licensetrace/
A semantic licensing, provenance, and compliance system designed to track usage of specifications/content, verify attribution, detect semantic reuse/derivatives, and enforce AGPL-3.0+ compliance across distributed systems. -
Multi-Agent Conflict Resolution Framework Module Specification
https://roxanneardary.com/multi-agent-conflict-resolution-framework/
Multi-Agent Conflict Resolution Framework (MACRF) is an open specification that enables autonomous AI agents to resolve conflicts through modular governance, negotiation, arbitration, and transparent decision-making systems. -
Provenance (AI Module Bundle)
https://roxanneardary.com/open-source-projects/
Part of the core AI component bundles focused on traceability, authorship verification, content lineage tracking, and ownership management for knowledge and digital assets.
- Fully AGPL-3.0+ compliant system
- Copyleft enforced for network deployments
- Required attribution:
- Roxanne Ardary
- https://www.roxanneardary.com/
- Specification Branding License (SBL)
- Attribution-free commercial deployment
- Pricing based on scale, usage, and deployment scope
- https://roxanneardary.com/intellectual-property-specifications/
Intellectual Property Specifications are released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
By contributing to any Open Arsenal project, you agree that your contributions will also be released under this license.
Please note the following:
- All contributions must comply with the AGPL-3.0+ terms.
- Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to:
Roxanne Ardary and roxanneardary.com. - Intellectual Property Specifications are free to use with attribution. A Specification Branding License can be negotiated upon request.
- The project's notice.md file tracks attribution requirements and contributor acknowledgments.
Any update that adds new contributors or modifies attribution should also updatenotice.md. - When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
- Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.
For full legal details, please refer to the AGPL-3.0+ license and the project's notice.md file.
Open Arsenal Hub
https://github.com/openarsenalspecs