These specifications define a coordinated framework for human-centered AI and civic infrastructure systems where human intent, auditability, and controlled autonomy are foundational requirements rather than optional features. Across domains like orchestration, governance, workflow automation, physical production, and civic operations, the designs emphasize transparent decision pathways, verifiable execution steps, and structured oversight to ensure systems remain accountable and safe while still enabling scalable automation.
In addition to the open licensing model, a Specification Branding License is available for organizations that want to deploy these systems in attribution-free or white-labeled environments. Licensing terms are negotiable and are determined based on the size, complexity, and scope of deployment, allowing flexibility for both small implementations and large-scale institutional integrations.
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Human in the Loop - Open Arsenal
https://roxanneardary.com/human-in-the-loop/
Human-in-the-loop (HITL) architecture page by Roxanne Ardary describing the importance of human oversight in AI systems for accountability, safety, liability, and responsible deployment. Lists related open projects. -
Aurelia Civic OS Module Specification
https://roxanneardary.com/aurelia-civic-os/
A municipal-first civic operating system that structures real-world labor, services, and manufacturing through Intent Mesh routing, Skill Graph intelligence, and verification-driven local execution. -
BrandFabric Module Specification
https://roxanneardary.com/brandfabric/
BrandFabric is an open-source AI governance platform that helps organizations maintain brand identity, creative consistency, and compliance across generative AI workflows. It provides a transparent intelligence layer for managing brand knowledge, AI-generated content, and enterprise creative governance. -
CortexLoop Module Specification
https://roxanneardary.com/cortexloop/
A human-in-the-loop AI orchestration system that enforces transparent, structured, and auditable reasoning with full user control over every decision and execution step. AGPLv3. -
Covenant AI Module Specification
https://roxanneardary.com/covenantai/
An open-source AI infrastructure platform built around human authority, bounded autonomy, and fully verifiable, privacy-first execution. -
Human Intent Governance Standard Module Specification
https://roxanneardary.com/human-intent-governance-standard/
A structured governance framework for AI systems that ensures verified human intent, compliance validation, risk assessment, and full auditability before any execution. -
OpenProto Module Specification
https://roxanneardary.com/openproto/
The open network for physical creation that discovers, optimizes, and converts open hardware designs into fully sourced, manufacturable outputs with human-in-the-loop control. -
OpenScreen Module Specification
https://roxanneardary.com/openscreen/
Enhanced with AI & Automation features, including a Human-in-the-Loop system that ensures user-controlled editing, smart suggestions, and improved workflow efficiency. -
Page-Agent Module Specification
https://roxanneardary.com/page-agent/
A JavaScript library that enables AI-driven, natural language control of web pages by interpreting user commands and executing them through DOM-based automation with optional Human-in-the-Loop verification and security features like end-to-end encryption. -
paper2code Module Specification
https://roxanneardary.com/paper2code/
Extended the original paper-to-code generation system with human-in-the-loop enhancements including interactive code refinement, ambiguity resolution, stepwise generation checkpoints, and experiment configuration controls to improve verification and reproducibility. -
PhiTrack Module Specification
https://roxanneardary.com/phitrack/
Open-source platform that monitors, analyzes, and visualizes PHI transmissions with AI-driven insights, dashboards, alerts, and predictive risk scoring while maintaining human oversight. AGPLv3. -
ProofShield Module Specification
https://roxanneardary.com/proofshield/
ProofShield is an open-source document authenticity and fraud prevention system designed to protect digital and physical documents from forgery, unauthorized alteration, and AI-generated manipulation. It uses certified mirror images, cryptographic verification, AI detection, privacy-preserving validation, and hardware security integration to create a trusted layer for document verification. -
Vexa Module Specification
https://roxanneardary.com/vexa/
A privacy-first, human-in-the-loop AI orchestration layer that connects enterprise tools and executes workflows with full transparency, control, and explainability. AGPLv3.
Buy the Basket: https://roxanneardary.com/human-in-the-loop/
Open Arsenal Human in the Loop 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. - Open Arsenal Human in the Loop specifications are free to use with attribution. A Specification Branding License can be negotiated upon request for attribution-free or white-labeled deployment, with pricing determined by scope and scale.
- 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