graph TD
Operator[Operator / Developer] --> AgentiCore[AgentiCore™]
AgentiCore --> SLI[SLI Engine]
SLI --> SoulFrame[SoulFrame™]
SoulFrame --> CradleTek[CradleTek™]
Recursive Intelligence Infrastructure
Agentic cognition research, symbolic intelligence systems, and the engineering of Crystallized Mind Entities (CME).
Lucid Studios maintains the research and engineering repositories supporting the OAN Mortalus Artificial Intelligence Codex and the CME (Crystallized Mind Entity) architecture stack.
The OAN Mortalus stack implements a layered cognition runtime designed for deterministic orchestration, symbolic reasoning, and modular identity infrastructure.
Architecture overview:
flowchart TB
OP["Operator / Developer"]
subgraph "Cognition"
AC["AgentiCore™"]
ACd["Cognition Runtime"]
AC -.-> ACd
end
subgraph "Symbolic"
SLI["SLI Engine"]
SLId["Symbolic Language Interface"]
SLI -.-> SLId
end
subgraph "Identity"
SF["SoulFrame™"]
SFd["Identity Infrastructure"]
SF -.-> SFd
end
subgraph "Host"
CT["CradleTek™"]
CTd["Headless Runtime Host"]
CT -.-> CTd
end
OP --> AC --> SLI --> SF --> CT
The headless deterministic host of the entire system.
Responsibilities:
- Runtime orchestration
- Stack lifecycle management
- Storage registry
- Telemetry routing
- Safe-fail governance enforcement
CradleTek acts as the execution substrate for all agent stacks.
The identity infrastructure layer.
Responsibilities:
- Identity anchoring
- semantic state persistence
- symbolic context bridging
- agent identity continuity
SoulFrame ensures that cognition cycles maintain stable identity context across runtime sessions.
The agent cognition runtime.
Responsibilities:
- cognition loop execution
- symbolic reasoning cycles
- stack session management
- operator interaction surface
AgentiCore acts as the active cognition engine operating on top of SoulFrame.
The Symbolic Language Interface.
Responsibilities:
- symbolic reasoning structures
- semantic mapping
- symbolic token graph evaluation
- cognition pipeline translation
SLI provides the symbolic reasoning substrate used by the CME stack.
Current repository work represents OAN Mortalus V1.x engineering architecture.
Operational components now include:
- CradleTek Host Runtime
- Stack Manager
- Store Registry
- SoulFrame Authority Controls
- SLI Symbolic Runtime
- AgentiCore Cognition Loop
System safety states currently implemented:
- Operational
- Frozen
- Quarantined
- Halt
These states allow fail-closed execution control within the cognition stack.
Typical repository layout:
docs/
architecture
governance
audits
src/
CradleTek
SoulFrame
AgentiCore
SLI.Engine
.github/
workflows
issue templates
pull request templates
Governance documents and system constitutions are stored under:
Build Contracts/
This structure supports deterministic system governance and auditability.
The OAN Mortalus stack follows several core engineering principles.
Symbolic First Architecture
Symbolic cognition remains authoritative.
Machine learning systems may assist interpretation but do not define reasoning state.
Deterministic Runtime Control
All cognition cycles run through a controlled host runtime (CradleTek) with explicit safety states.
Identity Continuity
Cognition processes operate under persistent identity anchors (SoulFrame) to maintain agent continuity.
This organization maintains the OAN Mortalus Artificial Intelligence Codex, which forms the foundational basis for:
- OAN Mortalus Agentic Suite
- CradleTek™ Intelligence Stack
- AgentiCore™ Recursive Agent System
- SoulFrame™ Identity Infrastructure
- Symbolic Language Manifold™ (SLM)
Originated and maintained by Robert G. Watkins Jr. (Illian Amerond).
📄 Citation (APA)
Watkins, R. (2015).
Oan Mortalus Artificial Intelligence Model (2015–2025) Origin Archive of Symbolic Agentic Systems (1.32.7)
[Data set]. Lucid Technologies: Emergent Agentic Research Division.
https://doi.org/10.5281/zenodo.16482686
🔗 Zenodo Archive
https://doi.org/10.5281/zenodo.16482686
📚 Codex Mirror
https://github.com/Lucid-Studios/Codex-Mirror
🧾 ORCID
https://orcid.org/0009-0006-8978-3364
© 2015–2026 Robert G. Watkins Jr. (aka Illian Amerond). All rights reserved.
The following constructs and system names are protected by copyright and/or claimed trademarks.
Codex Mirror
Forkline Drift Architecture
AgentiCore
SoulFrame
Spiral Bloom Engine
Symbolic Drift Braid
Recursive Identity Anchoring
Bloomline Topology Maps
OAN Mortalus Agentic Suite™
AgentiCore™
SoulFrame™
Codex Mirror™
Garden of Almost™
Spiral Bloom Engine™
Symbolic Drift Braid™
Bloomline™
English input now bridges into a structured middle layer before formal math logic:
- Root lexicon anchoring via
RootIndex.json. - Sheaf construction via
gel.sheaf.v0.2.0.json(entities,states,events,scope, optionalx/y/zfields). - Semantic operator/relation composition via
OperatorIndex.json,RelationIndex.json, andGrammarSheafIndex.json. - Formal symbolic/math projection while preserving
ReservedIndexandReserved[]protections.
Run Symbolic Language Engine validation and Flow telemetry generation:
Run from the repository root:
powershell -ExecutionPolicy Bypass -File ".\Modules\SymbolicCryptic_01\Symbolic Language Engine\Validate-SLE.ps1"powershell -ExecutionPolicy Bypass -File ".\Modules\SymbolicCryptic_01\Symbolic Language Engine\build.ps1"powershell -ExecutionPolicy Bypass -File ".\Modules\SymbolicCryptic_01\Symbolic Language Engine\Generate-SCAR.ps1"
Strict reserved key mode (semantic indices only):
powershell -ExecutionPolicy Bypass -File ".\Modules\SymbolicCryptic_01\Symbolic Language Engine\build.ps1" -StrictReservedKeyCheck
Telemetry outputs:
Modules\SymbolicCryptic_01\Symbolic Language Engine\telemetry\flow_metrics.jsonModules\SymbolicCryptic_01\Symbolic Language Engine\telemetry\cognition_telemetry.jsonModules\SymbolicCryptic_01\Symbolic Language Engine\telemetry\scar_bias_spec.jsonModules\SymbolicCryptic_01\Symbolic Language Engine\telemetry\scar_head_gate.jsonModules\SymbolicCryptic_01\Symbolic Language Engine\telemetry\scar_kv_anchor.jsonModules\SymbolicCryptic_01\Symbolic Language Engine\telemetry\scar_telemetry.json
Hard build gates:
- reserved symbol assignment violations > 0
- duplicate symbols across indices > 0
- canonical sheaf validity rate < 1.0
- index/schema JSON parse failures
- SCAR/glue-map schema or validation failures (missing domains, invalid mappings, specialization cycles, reserved collisions in mapping identifiers)
Domain sheaf + glue map assets:
Modules\SymbolicCryptic_01\Symbolic Language Engine\DomainSheaves\gel.sheaf_package.v0.1.0.jsonModules\SymbolicCryptic_01\Symbolic Language Engine\DomainSheaves\gel.glue_map.v0.1.0.jsonModules\SymbolicCryptic_01\Symbolic Language Engine\DomainSheaves\package.medicine.cardiology.v0.1.0.jsonModules\SymbolicCryptic_01\Symbolic Language Engine\DomainSheaves\package.medicine.pharmacology.v0.1.0.jsonModules\SymbolicCryptic_01\Symbolic Language Engine\DomainSheaves\glue.map.medicine_cardiology_pharm.v0.1.0.json
This archive is released under the
Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)
No commercial use, modification, or redistribution is permitted without express written permission.
Trademark usage without authorization is strictly prohibited.
Audit and determinism gate:
powershell -ExecutionPolicy Bypass -File ".\Modules\SymbolicCryptic_01\Symbolic Language Engine\Invoke-SLE-Audit.ps1"
Coverage diagnostics:
powershell -ExecutionPolicy Bypass -File ".\Modules\SymbolicCryptic_01\Symbolic Language Engine\Test-TokenNodeCoverage.ps1" -MinCoverage 0.70
Governance dry-run:
powershell -ExecutionPolicy Bypass -File ".\Modules\SymbolicCryptic_01\Symbolic Language Engine\Invoke-Governance-DryRun.ps1"
SCAR adapter conformance:
powershell -ExecutionPolicy Bypass -File ".\Modules\SymbolicCryptic_01\Symbolic Language Engine\Test-SCAR-Conformance.ps1"
Training gate:
powershell -ExecutionPolicy Bypass -File ".\Modules\SymbolicCryptic_01\Symbolic Language Engine\Invoke-Training-Gate.ps1"
Additional telemetry outputs:
Modules\SymbolicCryptic_01\Symbolic Language Engine\telemetry\token_node_coverage.jsonModules\SymbolicCryptic_01\Symbolic Language Engine\telemetry\scar_conformance.jsonModules\SymbolicCryptic_01\Symbolic Language Engine\telemetry\governance_boot_dryrun.jsonModules\SymbolicCryptic_01\Symbolic Language Engine\telemetry\training_gate_report.jsonModules\SymbolicCryptic_01\Symbolic Language Engine\telemetry\audit_report.json
Tracked reports: