Memory-centered AI · Ethical computing · Coherence systems · Inward Physics™
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.
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.
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 memory-field visualization: open the ĀRU Remembrance Field.
- Understand the body of work: read the repository registry.
- Evaluate the evidence: read the research standards and reproducibility framework.
| 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 |
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"]
- 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.
| 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 |
| 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 |
The Public Repository Registry assigns every repository a clear role and maturity category, separating flagships from supporting prototypes, development utilities, and preserved historical stages.
- ĀML Core — meaning-native computing and EthicalRenderGate™
- ĀRU Intelligence AI — company research index
- ĀRU Remembrance Field — interactive memory-field demonstration
- Inward AGI Remembrance Engine
- The Key
- Eternal Quartz Web
- Eternal Remembrance Fire
- Inward Mathematics Simulator
- Divine Whisper canonical index — complete v2–v10.7 map, supporting components, authorship, and scope
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.
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.
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
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.


