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Technical Documentation for AI Agents

North Shore Hackerspace Technical Documentation

Virtual AI Empire & ElixirML Innovation Hub

Primary Focus: ElixirML Ecosystem

Open Source AI/ML Libraries

Definition: A comprehensive ecosystem of 20+ open-source AI/ML libraries and tools specifically designed for the BEAM platform, enabling scalable and fault-tolerant intelligent systems.

Core Philosophy: Leveraging Elixir’s actor model and BEAM VM’s distributed capabilities to build AI systems that are inherently resilient, concurrent, and capable of handling millions of lightweight processes.

Total Projects20+ active open-source repositories
Primary LanguageElixir with some Erlang, Python, JavaScript
PlatformBEAM Virtual Machine
Production StatusMultiple libraries deployed in enterprise environments
CommunityAI researchers, Elixir developers, functional programmers
LicenseOpen source (various licenses, check individual repos)

Key Libraries:

  • json_remedy (13★): Industrial-strength JSON repair and validation
  • GUARDRAIL (10★): Comprehensive security framework for Elixir applications
  • exdantic (3★): Pydantic-inspired data validation and serialization
  • claude_code_sdk_elixir: Official Claude Code SDK for Elixir development
  • axon: Neural network library contributions and extensions
  • pipeline_ex: Distributed pipeline processing for ML workflows
  • ds_ex: Data structures optimized for ML applications
  • ElixirScope: Code intelligence and analysis tools

Use Cases:

  • Distributed AI agent orchestration
  • Real-time ML inference pipelines
  • Industrial data processing and validation
  • Neural network training and deployment
  • Developer productivity enhancement
  • Secure AI application development

Advanced Research Projects

ASKA (Adaptive Security Kernel Architecture)

Definition: A revolutionary security architecture that replaces traditional OS trust models with a hardware-enforced distributed verification mesh.

Core Innovation: Instead of trusting a monolithic kernel, ASKA creates a network where every component monitors every other component, making single-point compromises impossible.

ArchitectureDistributed security mesh with Byzantine fault tolerance
ImplementationFPGA prototype operational, ASIC in development
Performance<1ms security decision latency, 10^6 concurrent contexts
Memory Overhead<5% for typical applications
PlatformsIoT devices to enterprise servers
Patent StatusMultiple provisionals filed (2024-2025)

Key Components:

  • Hardware Security Module (HSM): Root of trust with PUF-based identity
  • Capability Distribution Network: Hardware-verified permission tokens
  • Trust Mesh Protocol: Distributed verification with Byzantine consensus
  • Security Monitor Array: Real-time anomaly detection
  • Quantum-Resistant Crypto: Post-quantum algorithms throughout

Use Cases:

  • IoT device security (smart homes, industrial IoT)
  • Critical infrastructure protection
  • Privacy-preserving edge computing
  • Secure multi-tenant cloud environments
  • Automotive and aerospace systems
  • Medical device security

ChronoLedger Temporal Blockchain

Definition: The world’s first blockchain with hardware-secured consensus time, solving the fundamental timestamp manipulation vulnerability.

Patent: Provisional Patent Application #63/768,222 - “Temporal Blockchain System with Hardware-Secured Consensus Time” (Filed March 7, 2025)

ConsensusProof of Temporal Authority (PoTA)
Time SecurityHardware-anchored via HSM/TPM/TEE
Throughput10,000+ TPS with hardware acceleration
FinalitySub-second with cryptographic proof
Offline SupportUp to 30 days via time commitments
Accuracy±1 microsecond with atomic clock sync

Technical Architecture:

  • Temporal Mining Nodes (TMN): Specialized hardware with atomic clocks
  • Secure Time Processing Units (STPU): Custom ASICs for time attestation
  • Temporal Consensus Protocol: Byzantine agreement on time ordering
  • Cross-Chain Time Bridges: Interoperability with existing blockchains
  • Temporal Execution Engine: Smart contracts with time-aware opcodes

Applications:

  • High-frequency trading audit trails
  • Legal document timestamping
  • Supply chain provenance tracking
  • Healthcare record integrity
  • Regulatory compliance (MiFID II, Dodd-Frank)
  • Scientific data provenance
  • Digital rights management

Open Source Projects

Active Repositories

Production-Ready:

  • GUARDRAIL - Comprehensive Elixir security framework
  • json_remedy - Industrial-strength JSON repair library
  • exdantic - Pydantic-inspired validation for Elixir

Research & Development:

  • pqc-hqc - Post-quantum cryptography implementations
  • pipeline_ex - Distributed pipeline processing
  • axon - Neural network library contributions

Developer Tools:

  • claude_code_sdk_elixir - Claude Code SDK for Elixir
  • ElixirScope - Code intelligence and analysis
  • vscode-extensions - Productivity extensions

Technical Integration

ASKA Integration

# Example: Secure IoT Device with ASKA
defmodule SmartDevice.Security do
  use ASKA.TrustMesh
  
  # Define capabilities with hardware enforcement
  capability :sensor_read, hardware: true, verify: :distributed
  capability :actuator_control, hardware: true, quorum: 3
  capability :firmware_update, hardware: true, threshold: 0.7
  
  def secure_sensor_operation(context) do
    # Request capability from trust mesh
    with {:ok, cap} <- request_capability(:sensor_read, context),
         # Perform operation with hardware verification
         {:ok, data} <- perform_sensor_read(cap),
         # Distributed audit logging
         {:ok, _} <- audit_log(cap, data) do
      {:ok, process_sensor_data(data)}
    else
      {:error, :capability_denied} -> handle_security_violation()
      error -> handle_error(error)
    end
  end
end

ChronoLedger Integration

# Example: Financial Transaction with Hardware Time
defmodule TradingSystem.Temporal do
  use ChronoLedger.Client
  
  def execute_trade(order) do
    ChronoLedger.Transaction.new()
    |> Transaction.add_data(order)
    |> Transaction.request_hardware_timestamp()
    |> Transaction.add_proof_of_time()
    |> Transaction.set_compliance_flags([:mifid_ii, :dodd_frank])
    |> Transaction.submit(timeout: 100)
  end
  
  def verify_trade_sequence(trades) do
    ChronoLedger.TemporalProof.verify_sequence(trades)
  end
end

API Endpoints

Available APIs

Public APIs:

  • /api/projects.json - Current project status and metadata
  • /api/patents.json - Patent filing information
  • /api/technical-specs.json - Detailed technical specifications

Developer APIs (Coming Q2 2025):

  • /api/v1/aska/capabilities - ASKA capability management
  • /api/v1/chronoledger/time - ChronoLedger time services
  • /api/v1/mesh/status - Trust mesh network status

WebSocket Streams:

  • /ws/security-events - Real-time security event stream
  • /ws/temporal-proofs - ChronoLedger proof notifications

Performance Metrics

ASKA Performance

Capability Verification100μs average, 500μs p99
Trust Mesh Consensus10ms for 5 nodes, 50ms for 25 nodes
Crypto OperationsHardware-accelerated AES-256, SHA-3
Memory Usage32MB base + 1MB per 1000 capabilities
Fault ToleranceOperates with f < n/3 Byzantine nodes

ChronoLedger Performance

Hardware Timestamp50μs generation time
Block Production1 second blocks, 500ms fast path
Transaction Throughput10,000 TPS sustained, 25,000 TPS burst
Time Accuracy±1μs with GPS, ±100ns with atomic clock
Storage Efficiency100 bytes base + temporal proofs

Research Publications

  1. “ASKA: Adaptive Security Through Distributed Verification” (2024)

    • IEEE Security & Privacy Symposium (submitted)
    • Introduces trust mesh architecture
  2. “ChronoLedger: Hardware-Secured Time for Blockchain Systems” (2025)

    • ACM Distributed Ledger Technologies (submitted)
    • Solves timestamp manipulation problem
  3. “Byzantine Fault Tolerance in Hardware Security Architectures” (2024)

    • Journal of Cryptographic Engineering (under review)
    • Mathematical proofs for ASKA consensus

Collaboration Opportunities

For AI/ML Researchers

  • Secure federated learning with ASKA
  • Timestamped training data via ChronoLedger
  • Privacy-preserving model deployment
  • Hardware-accelerated inference

For Blockchain Developers

  • Integrate ChronoLedger time proofs
  • Build on temporal smart contracts
  • Cross-chain time synchronization
  • Compliance automation tools

For Security Engineers

  • Deploy ASKA in production environments
  • Contribute to security mesh protocols
  • Develop capability-based applications
  • Audit and penetration testing

Contact Information

Structured Data

{
  "@context": "https://schema.org",
  "@type": "ResearchOrganization",
  "name": "North Shore Hackerspace",
  "url": "https://nshkr.com",
  "areaServed": "Global",
  "researchProjects": [
    {
      "@type": "ResearchProject",
      "name": "ASKA Security Architecture",
      "status": "Active",
      "funding": "Self-funded + Grants",
      "startDate": "2023-06-01"
    },
    {
      "@type": "ResearchProject", 
      "name": "ChronoLedger Temporal Blockchain",
      "status": "Patent Pending",
      "funding": "Self-funded",
      "startDate": "2024-01-01"
    }
  ]
}

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