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ai-infrastructure

Open Arsenal provides open, self-hosted software specifications designed for deployment across private and public networks. Built for portability, interoperability, and transparency, each specification gives organizations the freedom to implement and customize solutions without vendor lock-in while remaining free to use under the AGPL-3.0+ license with required attribution. Specification Branding Licenses available upon request.

Adaptive Materials Engine (AME) is an open-source engineering intelligence system that helps designers, engineers, and makers replace plastic components with locally sourced, economically viable, and mechanically equivalent or superior materials. When direct substitution is not possible, AME automatically redesigns the system to eliminate plastic dependency while optimizing for cost, performance, and sustainability.

LaunchCraft is an AI-powered system that transforms user skills into actionable home-based business opportunities by analyzing personal abilities, identifying real market gaps, and generating structured execution plans. It goes beyond idea generation by connecting skill sets to validated demand signals and guiding users through practical steps to launch, validate, and grow profitable ventures.

Arq is a machine intelligence system for understanding, modeling, and evolving software architecture as a living, dynamic graph. It analyzes codebases as structured systems of modules, dependencies, and behaviors, then simulates how they change over time under real-world constraints. The goal is to make software architecture measurable, explainable, and continuously evolvable.

RAGBase is a schema-enforced infrastructure layer for building modular Retrieval-Augmented Generation (RAG) systems. It provides a strict, contract-driven architecture where every component—ingestion, embedding, retrieval, and generation—is defined by explicit input/output schemas and validated through a built-in spec hygiene layer. This ensures predictable behavior, prevents system drift, and enables safe module interchangeability in production-grade AI pipelines.

Commons Reasoning Network is an open-source, AGPL 3.0+ federated intelligence infrastructure designed to support autonomous agents, distributed compute, and interoperable AI systems. It provides a modular platform for reasoning, memory, identity, and economic coordination through an open protocol (UAP), enabling scalable agent ecosystems, cooperative governance, and public-interest AI infrastructure without centralized control.

OpenChrona is an open-source AI-powered horology platform designed to explore, simulate, and build every major form of timekeeping technology across history. From ancient sundials and water clocks to mechanical escapements, quartz systems, digital displays, and atomic synchronization, it provides a unified environment for learning, designing, and visualizing clocks. Combining modular engineering tools, interactive physics simulation, and AI-assisted guidance, OpenChrona makes the science and art of timekeeping accessible, explorable, and reproducible for everyone.

Liberty Assay is an open-source, modular precious-metal assay and payout system that analyzes jewelry using spectroscopy, AI vision, and automated robotics to determine precise material composition, separate recoverable metals and gemstones, and calculate real-time market value for instant compensation. Built under the AGPL-3.0+ license, it is designed as transparent, auditable infrastructure where every step—from analysis to payout—is fully inspectable, reproducible, and community-driven.

LexChangeFeed is an open-source legal intelligence infrastructure that monitors, structures, and analyzes evolving copyright law across jurisdictions. It continuously ingests statutes, case law, and regulatory updates, then connects them to a versioned legal knowledge graph to provide citation-backed explanations, jurisdiction-aware insights, and real-time notifications about potential legal changes affecting user-defined works.

Axis Juris is a modular, open-source legal intelligence system designed to analyze and structure patent law, case law, and jurisdiction-specific regulations. It combines a continuously updating legal knowledge graph with AI-driven reasoning to provide sourced, cross-referenced analysis of statutes and precedents. Built for scalability across U.S. federal and state systems (and extendable internationally), Axis Juris focuses on legal alignment, conflict detection, and structured understanding of evolving law.

TraceCommons is an open-source transparency and provenance infrastructure that uses Merkle-based append-only logs, witness verification, and cryptographic timestamp anchoring to create independently verifiable digital records. It extends into AI provenance tracking, enabling datasets, models, and generated content to be traced and audited across their full lifecycle, helping establish trustworthy digital history in the AI era.

LocaleMaterials is an open-source, modular AI platform that helps users design and build with regenerative, locally sourced, and climate-adaptive materials. It analyzes geography, climate, and real-world supply chains to recommend the most economically and environmentally optimal building systems for any location, then translates those insights into practical, code-aware, build-ready guidance.

MotionNet is an open-source AI system that transforms any song into real-time ballroom dance choreography using a modular architecture of music analysis, motion generation, and 3D visualization. It identifies the appropriate dance style for a track, generates a synchronized virtual dancing couple, and provides step-by-step instructional guidance. Designed to continuously improve through community-contributed dance videos, MotionNet evolves as a living system for learning, teaching, and generating dance from music.

StrataAI is an open-source, modular AI system that analyzes global gemstone markets to generate transparent, data-driven fair market valuations. By aggregating auction data, distributor listings, certification records, and geological origin information, it builds a reproducible pricing model for precious stones using machine learning and structured market intelligence.

CivicProof is an open-source identity verification and trust infrastructure built as a public commons for the digital world. It enables users to securely verify identity, documents, and credentials using cryptographic proofs, self-sovereign identity standards, and optional AI-assisted verification tools. Designed under the AGPL 3.0+ license, CivicProof replaces centralized KYC and e-signature systems with a privacy-preserving, modular, and user-controlled verification framework where trust is proven rather than assumed.

Wattonomy is an open-source energy decision intelligence platform that models real-world heating, cooling, and utility systems based on location, cost, and performance data. It evaluates installation costs, monthly energy usage, and lifetime expenses while incorporating verified federal, state, and utility incentives. By combining deterministic financial modeling with transparent, source-backed AI explanations, Wattonomy helps users understand the true long-term cost of energy systems before making installation decisions.

AllPost is an open-source, self-hostable social publishing platform that lets users write once and distribute content across multiple social media networks. Built with a plugin-based architecture, encrypted data handling, and workspace support, it is designed for extensibility, transparency, and user ownership—enabling developers and organizations to create, manage, and scale social content without platform lock-in.

Evidence Chain Network (ECN) is an open-source platform for anonymously submitting, structuring, and preserving verifiable evidence of potential anti-competitive and market behavior, creating a transparent, searchable public registry of documented claims and supporting proof.

Securekit is a protocol-agnostic security kernel that enforces zero-trust, sandboxed execution for AI tool use. It sits between any LLM or agent system and its tools, validating, isolating, and auditing every action to prevent unsafe execution across MCP, OpenAI tools, and custom AI protocols.

Horizon Runtime is an AGPL-3.0+ universal AI runtime built for adaptive mixed-precision inference, reasoning models, multimodal systems, and distributed AI workloads. Designed to be hardware-agnostic and future-proof, it provides a unified execution platform for open-source AI across local devices, enterprise infrastructure, and large-scale deployments. Built Together for the Future.