System Design

Architecture

47 knowledge sources. 38 simulation engine bridges. One Z₃³ topology. O₀→O₁→O₂ observer. 23 core metaprograms.

High-Level Layers

TUI

Go TUI v9 feed cockpit (blast tui) — command palette, sim surface, agenda, models, API keys, social overlays.

Python

CLI

Command-line interface — blast commands, batch processing, CI/CD integration.

Click

API

REST + Python API — Programmatic access to all cognitive operations.

FastAPI

Simulation

38 engines — From thermodynamics to neural networks to game theory.

38 Engines

Knowledge

47 sources — arXiv, PubMed, Semantic Scholar, OpenAlex, Crossref, Zenodo, ClinicalTrials.gov, GBIF, NASA Earthdata, Materials Project, Kaggle, OpenFDA, ORCID, and other configured sources.

47 Sources

Cognitive

UCOS 4-layer cognitive pipeline — C4/ℤ₃³ topology engine, QZRF operators, CDI contradiction resolution, Theorem 9/11 validation.

C4-META

Cognitive Pipeline

The C4-META theory is not just mathematics — it is the engine that drives every discovery. The cognitive layer runs the UCOS 4-layer pipeline:

Layer 1 — Process

IMPACT / COMPASS / TOTE execution loops. When thinking happens.

Process

Layer 2 — Statics

23 core metaprograms profiled into 3 agent perspectives. Perceptual filters that shape cognition.

23 MPs

Layer 3 — Dynamics

14 QZRF operators transform states across the 27-state cognitive space.

14 Operators

Layer 4 — Topology

C4 = ℤ₃³ — 27 states. Coordinate system for navigation, pathfinding, and Theorem 9/11 validation.

ℤ₃³

CDI (Creative & Destructive Insights) operates across all 4 layers to resolve contradictions and drive paradigm shifts. See the Theory page for mathematical details, formal proofs, and the 6 C4-META theorems.

Knowledge Layer — 47 Sources

The Knowledge Layer aggregates information from 51 diverse sources, categorized into scientific, technical, commercial, and creative domains.

12

Scientific

arXiv, PubMed, Nature, Science, IEEE, ACM, Springer, Elsevier, JSTOR, PLOS, bioRxiv, medRxiv

8

Technical

GitHub, Stack Overflow, GitLab, Bitbucket, PyPI, npm, crates.io, Maven Central

6

Commercial

Google Patents, USPTO, EPO, Crunchbase, PitchBook, MarketWatch

7

Creative & General

Wikipedia, Wolfram Alpha, Semantic Scholar, Crossref, OpenAlex, Internet Archive, Library of Congress

Simulation Layer — 38 Engines

Each engine models a different physical, mathematical, or social system. Problems are dispatched to the most appropriate engine based on their Z₃³ classification.

CategoryEnginesUse Case
PhysicsThermodynamics, Electromagnetism, Quantum, Relativity, Fluid DynamicsPhysical system modeling
BiologyEvolution, Epidemiology, Ecology, Neuroscience, GeneticsLife science simulation
EconomicsGame Theory, Market Dynamics, Auction Theory, Behavioral EconStrategic interaction modeling
ComputingGraph Theory, Optimization, Cryptography, Distributed SystemsAlgorithmic problem solving
SocialNetwork Analysis, Opinion Dynamics, Crowd Behavior, LinguisticsHuman system modeling
CreativeMusic Theory, Visual Arts, Narrative Structure, Design PatternsCreative domain exploration

Data Flow

User Query
    ↓
Z₃³ Classification (Cognitive Layer)
    ↓
Knowledge Retrieval (47 Sources × Relevance Score)
    ↓
Engine Selection (38 Engines)
    ↓
Simulation Execution
    ↓
Result Synthesis & Verification
    ↓
Output (TUI / CLI / API / MCP)

Extension Points

  • New Engine: Implement BaseEngine interface, register in engine_registry.yaml
  • New Source: Add adapter in sources/, implement search() and fetch()
  • New Operator: Extend QZRF in cognitive/operators.py
  • Custom TUI Theme: Override CSS variables in ~/.c4reqber/theme.css

Security & Resilience

  • Sandboxed engine execution (restricted filesystem + network)
  • Input validation at every layer (Pydantic v2)
  • Rate limiting per API key
  • Audit logging for all cognitive transitions
  • Graceful degradation: if source fails, continue with remaining 50

Performance

MetricValue
Median query latency< 2s (cached) / < 8s (cold)
Throughput120 requests/minute
Memory footprint~400 MB base + ~150 MB per engine
Cold start< 3s

Further Reading