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aruintelligence/README.md

ĀRU Intelligence — Remembrance First

Building intelligence that remembers

Memory-centered AI · Ethical computing · Coherence systems · Inward Physics™

Website ORCID Research LinkedIn


Featured: ĀML™ Interface Firewall

ĀML is an open research prototype for making AI interface decisions inspectable. An application declares what it intends to show; a named policy returns a decision and evidence that another engineer can examine.

01 · Try it 02 · Verify it 03 · Build with it
Live 60-second proof — see SUPPRESS, then change a declared value to see ALLOW. Replayable enterprise pilot — inspect receipts, fixture hashes, and tamper rejection. Consumer quickstart — run a clean installed-package rehearsal.

Explore ĀML Core · Open the live lab · Challenge the result

Status: v1.3.0 stable contract; v1.4.0-rc.2 GitHub preview. ĀML is a research prototype. Its attention/restoration values are declared inputs, not objective measures of people or validated outcomes.

Field work on live sites

The Security First Alarm pilot registry and public experiments page record project-authored work on customer-facing websites, including before states, exact interface targets, label provenance, and declared policy inputs. These records are not independent validation.

A different starting point for intelligence

Most artificial-intelligence systems begin with prediction. ĀRU Intelligence Inc. investigates what changes when remembrance, coherence, orientation, and accountable action become first-class computational primitives.

Our public repositories are inspectable research artifacts: working code, interactive demonstrations, formal specifications, and preserved experimental lineages. They are invitations to test, critique, reproduce, and extend—not claims of production-ready AGI or settled science.

Remembrance → Coherence → Orientation → Accountable Action

Explore the wider research program

Flagship research

Project Research question Maturity Explore
ĀML Core Can an interface evaluate whether an element should consume attention before rendering it? Research prototype + active project-authored field pilots Live demo
ĀRU Remembrance Field How can memory-field and coherence dynamics become visible and interactive? Interactive simulation Live field
Inward Mathematics Simulator Can identity preservation and multi-observer agreement be modeled geometrically? Source-only prototype Repository
Inward AGI Remembrance Engine What does a browser-native, memory-first symbolic instrument look like? Source-only prototype Repository
Divine Whisper Ecosystem How did the agentic orchestration architecture evolve across its research lineage? Canonical index Version map
Kairos Echo How can reproducible coherence dynamics support careful reflection? Research prototype Repository

Research architecture

graph TD
    A["ĀRU Intelligence"] --> B["Meaning-native computing"]
    A --> C["Memory-field mathematics"]
    A --> D["Agentic systems and governance"]
    B --> E["ĀML Core"]
    C --> F["Inward Physics and remembrance engines"]
    D --> G["Divine Whisper"]
    F --> H["Kairos Echo"]
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Core principles

  • Remembrance before prediction — persistent context is treated as structural, not incidental.
  • Coherence before expansion — instability should be surfaced rather than concealed.
  • Human agency by design — systems should preserve accountable human choice.
  • Inspectability — public artifacts should be runnable, legible, and clearly scoped.
  • Responsible claims — simulations, metaphors, hypotheses, and validated results must remain distinguishable.
  • Open inquiry — strong ideas should withstand replication, criticism, and revision.

Selected publications

Work Persistent record
Experimental Roadmap DOI: 10.5281/zenodo.18708708
Nonlinear Emergence of Cognitive Clarity DOI: 10.5281/zenodo.18912791
Research identity ORCID: 0009-0000-6133-1872
Inward Physics archive The First Law of Inward Physics

Versioned software baselines

Artifact Release
ĀML Core v1.3.0 stable · v1.4.0-rc.2 preview
ĀRU Remembrance Field v5.5.0
Inward Mathematics Simulator v1.0.0
Inward AGI Remembrance Engine v11.0.0
Kairos Echo v1.0.0

Project status

The Public Repository Registry assigns every repository a clear role and maturity category, separating flagships from supporting prototypes, development utilities, and preserved historical stages.

Public-repository map

Foundations

Inward systems

Coherence and reflection

Preserved research lineage

Research standards and contribution

Public work follows the ĀRU Public Research Standards, which distinguish implemented behavior, simulation, observation, hypothesis, metaphor, and validation. The reproducibility framework defines what evidence should accompany each maturity level.

Contributions are welcome through the contribution guide. Reproducible bug reports, tests, accessibility work, documentation corrections, replication attempts, counterexamples, and responsible security reports are especially valuable. Please use the security policy for private vulnerability disclosure.

Independent replication

The ĀRU Independent Replication Challenge provides exact baseline procedures for the six flagship research tracks. Confirmed reproductions, reproducible failures, accessibility findings, numerical anomalies, parser counterexamples, and careful negative results are all welcome.

Collaborate

We welcome technically serious discussion, independent replication, constructive criticism, research collaboration, responsible licensing conversations, and applied-development inquiries.

Daniel Jacob Read IV
Founder & CEO · ĀRU Intelligence Inc.
Corvallis, Oregon

office@aruintelligence.com · aruintelligence.com · LinkedIn


Public code is generally available under the license included in each repository. ĀRU Intelligence™, Inward Physics™, Inward AI™, Remembrance First™, and associated names are claimed marks of ĀRU Intelligence Inc. © 2026 ĀRU Intelligence Inc.

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  1. aml-core aml-core Public

    ĀML: inspectable policy and evidence for AI interfaces and agent actions. Try the live labs, reproduce the 13-case challenge, and wire a host-owned tool boundary.

    JavaScript

  2. divine-whisper-ecosystem divine-whisper-ecosystem Public

    Unified home for Divine Whisper: inward-turn intelligence prototypes testing remembrance, coherence, regret as force, phase transitions & memory-field dynamics under Inward Physics. All repos MIT-l…

    1

  3. aru-remembrance-field aru-remembrance-field Public

    A living scalar memory field that remembers, evolves, and speaks back. Interactive demonstration of Inward Physics and Remembrance First™ by Daniel Jacob Read IV (ARU Intelligence Inc.). Real-time …

    HTML

  4. inward-agi-remembrance-engine inward-agi-remembrance-engine Public

    Inward AGI™ • The Remembrance Engine™ v11.0 — Single-file browser-native inward-first AGI mirror. Real μ(x,t) memory field dynamics, Guardian Veto™ (Law 23™), structured remembrance, and coherence …

    HTML

  5. inward-mathematics-simulator inward-mathematics-simulator Public

    Inward Mathematics™ Official Interactive Simulator by ĀRU Intelligence Inc.™—real-time demo of Remembrance Calculus™ (identity-preserving control + guardian projection) and Witness Geometry™ (multi…

    HTML

  6. kairos-echo-reflection-tool kairos-echo-reflection-tool Public

    Lightweight Python coherence simulator with ethical guardian veto and Dzogchen-inspired Tögal & Trekchö reflections. Reproducible stochastic dynamics, interactive Plotly dashboard, rich CLI modes, …

    Python