SCBE-AETHERMOORE Integration Roadmap

Vision: A unified AI security and orchestration platform combining cryptographic security, multi-agent coordination, and workflow automation.

Philosophy: This is a passion project built to completion over years, not rushed to market. Every component is thoughtfully integrated.

🎯 The Complete Vision

SCBE-AETHERMOORE is one unified platform - a complete AI security and orchestration system. Think of it as a full stack:

Bottom Layer: Mathematical security (hyperbolic geometry, harmonic scaling)
Middle Layer: Cryptographic primitives (PQC, Sacred Tongues, RWP v2.1)
Top Layer: AI orchestration (Fleet Engine, Roundtable, Autonomy)

All three layers work together as one product. Once complete, we can package it differently for different markets (security SDK vs. full platform), but it’s built as one cohesive system.

📊 Current Status (v3.0.0)

✅ Fully Implemented

Pillar 1: Cryptographic Security Core

14-Layer Security Architecture
Hyperbolic Geometry (Poincaré Ball)
Harmonic Scaling Law: H(d,R) = R^(d²)
Breath Transform: B(p,t) = tanh(‖p‖ + A·sin(ωt))·p/‖p‖
Möbius Addition (hyperbolic vector ops)
PHDM (16 Canonical Polyhedra)
Post-Quantum Crypto (ML-KEM, ML-DSA)
Topological CFI
Anti-Fragile Design

Location: src/crypto/, src/harmonic/, src/symphonic/

Pillar 2: Sacred Tongues Protocol (Partial)

6 Sacred Tongues Defined
- KO (Koraelin): Control & Orchestration
- AV (Avali): I/O & Messaging
- RU (Runethic): Policy & Constraints
- CA (Cassisivadan): Logic & Computation
- UM (Umbroth): Security & Privacy
- DR (Draumric): Types & Structures
SacredTongueTokenizer (bijective byte↔token)
16×16 prefix/suffix grids (256 tokens per tongue)
SpiralSeal SS1 Cipher with spell-text encoding
Integration with PQC primitives

Location: src/symphonic_cipher/scbe_aethermoore/spiral_seal/

User Interfaces

Interactive CLI with 5-module tutorial
AI Agent (Q&A, code library, security scanner)
Memory Shard Demo (60-second pitch)
Web Demos (customer demo, product landing, universe sim)

Location: scbe-cli.py, scbe-agent.py, demo_memory_shard.py, scbe-aethermoore/

🚧 To Be Implemented

Pillar 2: Sacred Tongues Protocol (Complete)

RWP v2.1 Multi-Sign Envelopes

Real World Protocol for secure AI-to-AI communication.

Components:

// Envelope structure
interface RWP2MultiEnvelope<T = any> {
  ver: '2.1';
  primary_tongue: TongueID; // Intent domain
  aad: string; // Authenticated data
  ts: number; // Unix milliseconds
  nonce: string; // Replay protection
  payload: string; // Base64URL encoded
  sigs: Partial<Record<TongueID, string>>; // Multi-signatures
}

// Domain-separated signing
function signRoundtable<T>(
  env: Omit<RWP2MultiEnvelope<T>, 'sigs'>,
  keyring: Record<string, Buffer>,
  signingTongues: TongueID[],
  kid?: string
): RWP2MultiEnvelope<T>;

// Verification with policy enforcement
function verifyRoundtable(
  env: RWP2MultiEnvelope,
  keyring: Record<string, Buffer>,
  replayWindowMs?: number
): TongueID[];

function enforceRoundtablePolicy(validTongues: TongueID[], policy: PolicyLevel): boolean;

Policy Matrix:

standard: Any valid signature
strict: Requires RU (Policy)
secret: Requires UM (Security)
critical: Requires RU + UM + DR (full consensus)

Security Features:

Domain-separated HMAC-SHA256
Replay protection (timestamp + nonce)
Multi-signature consensus
Policy-based authorization
Quantum-resistant upgrade path (hybrid with ML-DSA)

Implementation Plan:

Create src/spiralverse/rwp.ts - Core envelope logic
Create src/spiralverse/policy.ts - Policy matrix
Create src/spiralverse/keyring.ts - Key management
Create src/spiralverse/index.ts - Public API
Add tests: tests/spiralverse/rwp.test.ts
Add Python bindings: src/symphonic_cipher/spiralverse/

Integration Points:

Use Sacred Tongues for domain separation
Integrate with SpiralSeal SS1 for payload encryption
Connect to Fleet Engine for agent-to-agent messaging

Pillar 3: Multi-Agent Orchestration

Fleet Engine

Orchestrates 10 specialized agent roles with parallel execution.

Agent Roles:

Architect (KO) - System design, architecture decisions
Security (UM) - Threat analysis, vulnerability scanning
Policy (RU) - Compliance, governance, constraints
Compute (CA) - Execution, transformations, processing
Transport (AV) - I/O, messaging, data flow
Schema (DR) - Types, structures, data models
Analyst - Data analysis, insights
Tester - Quality assurance, validation
Documenter - Technical writing, specs
Integrator - System integration, glue code

Architecture:

interface FleetEngine {
  // Agent management
  registerAgent(role: AgentRole, config: AgentConfig): void;
  removeAgent(agentId: string): void;

  // Task orchestration
  assignTask(task: Task, role: AgentRole): Promise<TaskResult>;
  parallelExecute(tasks: Task[]): Promise<TaskResult[]>;

  // Communication (via RWP v2.1)
  sendMessage(from: string, to: string, envelope: RWP2MultiEnvelope): void;
  broadcast(from: string, envelope: RWP2MultiEnvelope): void;

  // Monitoring
  getAgentStatus(agentId: string): AgentStatus;
  getFleetMetrics(): FleetMetrics;
}

Implementation Plan:

Create src/orchestration/fleet.ts - Core engine
Create src/orchestration/agents/ - Agent implementations
Create src/orchestration/tasks.ts - Task management
Create src/orchestration/messaging.ts - RWP integration
Add tests: tests/orchestration/fleet.test.ts

Roundtable Service

Consensus-based decision making with debate modes.

Debate Modes:

Round-robin: Each agent speaks in turn
Topic-based: Agents speak when relevant to topic
Consensus: Continue until agreement threshold reached
Adversarial: Devil’s advocate mode for robustness

Architecture:

interface RoundtableService {
  // Session management
  createSession(topic: string, participants: string[]): SessionId;
  joinSession(sessionId: SessionId, agentId: string): void;

  // Debate
  propose(sessionId: SessionId, agentId: string, proposal: Proposal): void;
  vote(sessionId: SessionId, agentId: string, vote: Vote): void;

  // Consensus
  checkConsensus(sessionId: SessionId): ConsensusResult;
  finalizeDecision(sessionId: SessionId): Decision;

  // Modes
  setDebateMode(sessionId: SessionId, mode: DebateMode): void;
}

Consensus Algorithm:

Byzantine fault tolerance (3+ agents)
Weighted voting (by tongue security level)
Quorum requirements (configurable)
Timeout handling (default to safe state)

Implementation Plan:

Create src/orchestration/roundtable.ts - Core service
Create src/orchestration/consensus.ts - Consensus logic
Create src/orchestration/debate.ts - Debate modes
Add tests: tests/orchestration/roundtable.test.ts

Autonomy Engine

3-level autonomy system with 14-action matrix.

Autonomy Levels:

Level 1 (Supervised): Human approval required for all actions
Level 2 (Semi-Autonomous): Pre-approved actions automatic, others require approval
Level 3 (Autonomous): All actions automatic, human notified

14-Action Matrix: | Action | L1 | L2 | L3 | Tongue | Risk | |——–|—-|—-|—-|—-|——| | Read file | ✓ | ✓ | ✓ | AV | Low | | Write file | ✓ | ✓ | ✓ | CA | Medium | | Delete file | ✓ | ⚠️ | ✓ | RU | High | | Execute code | ✓ | ⚠️ | ✓ | CA | High | | Network request | ✓ | ✓ | ✓ | AV | Medium | | API call | ✓ | ✓ | ✓ | AV | Medium | | Database query | ✓ | ⚠️ | ✓ | DR | Medium | | Database write | ✓ | ⚠️ | ✓ | DR | High | | Deploy service | ✓ | ⚠️ | ⚠️ | KO | Critical | | Modify config | ✓ | ⚠️ | ✓ | RU | High | | Create resource | ✓ | ✓ | ✓ | CA | Medium | | Delete resource | ✓ | ⚠️ | ⚠️ | RU | Critical | | Grant permission | ✓ | ⚠️ | ⚠️ | UM | Critical | | Revoke permission | ✓ | ⚠️ | ⚠️ | UM | Critical |

Legend: ✓ = Auto, ⚠️ = Approval Required

Architecture:

interface AutonomyEngine {
  // Level management
  setAutonomyLevel(agentId: string, level: AutonomyLevel): void;
  getAutonomyLevel(agentId: string): AutonomyLevel;

  // Action authorization
  requestAction(agentId: string, action: Action): Promise<AuthResult>;
  approveAction(actionId: string, approved: boolean): void;

  // Policy
  setActionPolicy(action: ActionType, policy: ActionPolicy): void;
  getActionPolicy(action: ActionType): ActionPolicy;
}

Implementation Plan:

Create src/orchestration/autonomy.ts - Core engine
Create src/orchestration/actions.ts - Action definitions
Create src/orchestration/approval.ts - Approval workflow
Add tests: tests/orchestration/autonomy.test.ts

Vector Memory

Semantic search with embeddings for agent knowledge.

Architecture:

interface VectorMemory {
  // Storage
  store(agentId: string, memory: Memory): Promise<MemoryId>;
  retrieve(agentId: string, query: string, k?: number): Promise<Memory[]>;

  // Embeddings
  embed(text: string): Promise<number[]>;
  similarity(a: number[], b: number[]): number;

  // Management
  delete(memoryId: MemoryId): Promise<void>;
  clear(agentId: string): Promise<void>;
}

Implementation Plan:

Create src/orchestration/memory.ts - Core storage
Create src/orchestration/embeddings.ts - Embedding generation
Integrate with existing 6D harmonic voxel storage
Add tests: tests/orchestration/memory.test.ts

Workflow Integrations

n8n Integration

Visual workflow automation.

Features:

Custom SCBE nodes for n8n
RWP v2.1 envelope creation/verification
Fleet Engine task submission
Roundtable consensus triggers

Implementation Plan:

Create src/integrations/n8n/ - n8n node definitions
Create webhook endpoints for n8n callbacks
Add authentication via RWP envelopes
Publish to n8n community nodes

Make.com Integration

No-code automation platform.

Features:

SCBE modules for Make.com
Visual Sacred Tongues selector
Policy matrix configuration
Fleet task routing

Implementation Plan:

Create src/integrations/make/ - Make.com modules
Create REST API endpoints
Add OAuth2 authentication
Publish to Make.com marketplace

Zapier Integration

Popular automation platform.

Features:

SCBE triggers and actions
RWP envelope handling
Agent task creation
Consensus voting

Implementation Plan:

Create src/integrations/zapier/ - Zapier app definition
Create REST API endpoints
Add authentication
Publish to Zapier app directory

🗺️ Implementation Phases

Phase 1: Foundation (Current - v3.0.0) ✅

Cryptographic core
Sacred Tongues definitions
SpiralSeal SS1
Basic demos

Phase 2: Protocol Layer (v3.1.0) 🚧

Target: Q2 2026

Deliverables:

Success Criteria:

Agents can send/receive RWP envelopes
Policy enforcement works correctly
Replay attacks are prevented
95% test coverage

Phase 3: Orchestration Core (v3.2.0) 🔮

Target: Q3 2026

Deliverables:

Success Criteria:

10 agents can work in parallel
Tasks are routed correctly
RWP envelopes secure communication
Performance: <100ms task routing

Phase 4: Consensus Layer (v3.3.0) 🔮

Target: Q4 2026

Deliverables:

Success Criteria:

3+ agents reach consensus
Byzantine fault tolerance works
Debate modes function correctly
Performance: <5s consensus time

Phase 5: Autonomy System (v3.4.0) 🔮

Target: Q1 2027

Deliverables:

Success Criteria:

Autonomy levels enforce correctly
Approval workflow functions
Action policies configurable
Audit trail complete

Phase 6: Memory & Knowledge (v3.5.0) 🔮

Target: Q2 2027

Deliverables:

Success Criteria:

Semantic search works accurately
Embeddings integrate with harmonic voxels
Performance: <50ms retrieval
Scalability: 1M+ memories

Phase 7: Workflow Integrations (v4.0.0) 🔮

Target: Q3 2027

Deliverables:

Success Criteria:

All 3 platforms integrated
Published to marketplaces
95% uptime SLA
<200ms API response time

🏗️ Architecture Integration

How It All Fits Together

┌─────────────────────────────────────────────────────────────────┐
│                    USER INTERFACES                              │
│  CLI │ AI Agent │ Web Demos │ n8n │ Make.com │ Zapier          │
└─────────────────────────────────────────────────────────────────┘
                              ↓
┌─────────────────────────────────────────────────────────────────┐
│                  ORCHESTRATION LAYER                            │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐         │
│  │ Fleet Engine │  │  Roundtable  │  │   Autonomy   │         │
│  │  (10 roles)  │  │  (Consensus) │  │   (3 levels) │         │
│  └──────────────┘  └──────────────┘  └──────────────┘         │
│                              ↓                                   │
│  ┌──────────────────────────────────────────────────┐          │
│  │          Vector Memory (Semantic Search)         │          │
│  └──────────────────────────────────────────────────┘          │
└─────────────────────────────────────────────────────────────────┘
                              ↓
┌─────────────────────────────────────────────────────────────────┐
│                  PROTOCOL LAYER (RWP v2.1)                      │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐         │
│  │   Envelopes  │  │    Policy    │  │   Keyring    │         │
│  │ (Multi-Sign) │  │    Matrix    │  │  Management  │         │
│  └──────────────┘  └──────────────┘  └──────────────┘         │
└─────────────────────────────────────────────────────────────────┘
                              ↓
┌─────────────────────────────────────────────────────────────────┐
│              SACRED TONGUES FRAMEWORK                           │
│  KO │ AV │ RU │ CA │ UM │ DR                                   │
│  (Domain Separation + Semantic Routing)                         │
└─────────────────────────────────────────────────────────────────┘
                              ↓
┌─────────────────────────────────────────────────────────────────┐
│              CRYPTOGRAPHIC SECURITY CORE                        │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐         │
│  │ SpiralSeal   │  │  Symphonic   │  │     PQC      │         │
│  │     SS1      │  │    Cipher    │  │  (ML-KEM/DSA)│         │
│  └──────────────┘  └──────────────┘  └──────────────┘         │
│                              ↓                                   │
│  ┌──────────────────────────────────────────────────┐          │
│  │    14-Layer SCBE Architecture + PHDM             │          │
│  │    (Hyperbolic Geometry + Harmonic Scaling)      │          │
│  └──────────────────────────────────────────────────┘          │
└─────────────────────────────────────────────────────────────────┘

Data Flow Example: Agent Task Execution

User submits task via CLI/Web/Integration
Fleet Engine receives task, determines agent role
Autonomy Engine checks authorization level
RWP v2.1 creates signed envelope with appropriate tongue
Agent receives envelope, verifies signatures
Sacred Tongues routes to correct semantic domain
Cryptographic Core decrypts payload (if encrypted)
Agent executes task
Vector Memory stores result for future retrieval
Roundtable (if needed) validates result via consensus
RWP v2.1 creates response envelope
Fleet Engine returns result to user

📝 Documentation Plan

Technical Documentation

RWP v2.1 Specification
Fleet Engine Architecture
Roundtable Consensus Protocol
Autonomy Engine Design
Vector Memory Implementation
Integration Guides (n8n, Make.com, Zapier)
API Reference (TypeScript + Python)

User Documentation

Research Documentation

Sacred Tongues Semantic Framework (paper)
RWP v2.1 Security Analysis (paper)
Multi-Agent Consensus in Byzantine Environments (paper)
Harmonic Scaling for Agent Coordination (paper)

🛡️ Security Hardening + Anti-Malware

Playbook: See SECURITY_HARDENING_PLAYBOOK.md for the full stack (endpoint AV/EDR, IDS/NDR, supply chain scanning, sandboxing, and runbooks).
Tooling (evergreen, open-source first): ClamAV + YARA, Falco (eBPF), osquery, Wazuh/CrowdSec, Zeek/Suricata, AdGuard/Pi-hole, syft→grype or trivy, semgrep/bandit/ruff, gitleaks, cosign, gVisor/Kata/Firecracker.
User flexibility: Baseline protections always on; high-assurance and isolation modes for regulated tenants; overrides require justification + logging.
Self-hosted coding platform: Coder or Gitpod Self-Hosted (or code-server) on signed devcontainers/Nix images with pre-commit gates (semgrep, trivy, syft/grype, gitleaks) and sandboxed runtimes (gVisor/Kata). Ephemeral by default; persistence only for approved volumes.

🧪 Testing Strategy

Unit Tests

All components have 95%+ coverage
Property-based testing with fast-check/hypothesis
Edge case coverage

Integration Tests

RWP envelope creation/verification
Fleet Engine task routing
Roundtable consensus
Autonomy enforcement
End-to-end workflows

Security Tests

Replay attack prevention
Signature forgery attempts
Byzantine agent behavior
Policy bypass attempts
Quantum attack simulations

Performance Tests

Task routing latency (<100ms)
Consensus time (<5s)
Memory retrieval (<50ms)
Scalability (1000+ agents)

🎓 Learning Resources

For Developers

Sacred Tongues semantic framework
RWP v2.1 protocol specification
Fleet Engine architecture
Roundtable consensus algorithm
Integration tutorials

For Researchers

Mathematical foundations
Security proofs
Consensus protocols
Byzantine fault tolerance
Harmonic scaling theory

For Users

Quick start guides
Video tutorials
Example workflows
Best practices
Troubleshooting

🚀 Success Metrics

Technical Metrics

Test coverage: 95%+
Performance: <100ms task routing
Uptime: 99.99%
Scalability: 1000+ concurrent agents
Security: Zero critical vulnerabilities

Adoption Metrics

GitHub stars: 1000+
NPM downloads: 10K+/month
Integration marketplace listings: 3+
Community contributors: 50+
Research citations: 10+

Business Metrics

Patent granted
Commercial licenses: 10+
Enterprise deployments: 5+
Revenue: $100K+/year
Partnerships: 3+

💡 Philosophy & Principles

Design Principles

Security First: Every component cryptographically secured
Semantic Clarity: Sacred Tongues provide clear domain separation
Byzantine Resilience: System works even with malicious agents
Harmonic Scaling: Natural security gradients via mathematics
Fail-to-Noise: No information leakage on failure
Context-Based: “Right entity, right place, right time, right reason”

Development Principles

Quality Over Speed: Take years if needed to get it right
Mathematical Rigor: Prove security properties formally
Clean Architecture: Clear separation of concerns
Comprehensive Testing: 95%+ coverage, property-based tests
Documentation First: Write docs before code
Community Driven: Open source, welcoming contributors

Passion Project Values

Innovation: Push boundaries of what’s possible
Excellence: Never compromise on quality
Learning: Continuous improvement and growth
Sharing: Open source for the community
Impact: Build something that matters
Joy: Love the process, not just the outcome

📞 Contact & Community

GitHub: https://github.com/issdandavis/scbe-aethermoore-demo
Email: issdandavis@gmail.com
Patent: USPTO #63/961,403
License: MIT (with commercial restrictions)

Last Updated: January 18, 2026
Version: 3.0.0
Status: Foundation Complete, Orchestration In Progress
Timeline: Multi-year passion project
Commitment: See it through to completion

“This is not just better security. This is a fundamentally different way of thinking about security and AI coordination.”

“From ‘Do you have the key?’ to ‘Are you the right entity, in the right context, at the right time, doing the right thing, for the right reason?’“

🛡️ Stay secure. Stay coordinated. Stay innovative.