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 Projects | 20+ active open-source repositories |
Primary Language | Elixir with some Erlang, Python, JavaScript |
Platform | BEAM Virtual Machine |
Production Status | Multiple libraries deployed in enterprise environments |
Community | AI researchers, Elixir developers, functional programmers |
License | Open 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.
Architecture | Distributed security mesh with Byzantine fault tolerance |
Implementation | FPGA prototype operational, ASIC in development |
Performance | <1ms security decision latency, 10^6 concurrent contexts |
Memory Overhead | <5% for typical applications |
Platforms | IoT devices to enterprise servers |
Patent Status | Multiple 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)
Consensus | Proof of Temporal Authority (PoTA) |
Time Security | Hardware-anchored via HSM/TPM/TEE |
Throughput | 10,000+ TPS with hardware acceleration |
Finality | Sub-second with cryptographic proof |
Offline Support | Up 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 frameworkjson_remedy
- Industrial-strength JSON repair libraryexdantic
- Pydantic-inspired validation for Elixir
Research & Development:
pqc-hqc
- Post-quantum cryptography implementationspipeline_ex
- Distributed pipeline processingaxon
- Neural network library contributions
Developer Tools:
claude_code_sdk_elixir
- Claude Code SDK for ElixirElixirScope
- Code intelligence and analysisvscode-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 Verification | 100μs average, 500μs p99 |
Trust Mesh Consensus | 10ms for 5 nodes, 50ms for 25 nodes |
Crypto Operations | Hardware-accelerated AES-256, SHA-3 |
Memory Usage | 32MB base + 1MB per 1000 capabilities |
Fault Tolerance | Operates with f < n/3 Byzantine nodes |
ChronoLedger Performance
Hardware Timestamp | 50μs generation time |
Block Production | 1 second blocks, 500ms fast path |
Transaction Throughput | 10,000 TPS sustained, 25,000 TPS burst |
Time Accuracy | ±1μs with GPS, ±100ns with atomic clock |
Storage Efficiency | 100 bytes base + temporal proofs |
Research Publications
“ASKA: Adaptive Security Through Distributed Verification” (2024)
- IEEE Security & Privacy Symposium (submitted)
- Introduces trust mesh architecture
“ChronoLedger: Hardware-Secured Time for Blockchain Systems” (2025)
- ACM Distributed Ledger Technologies (submitted)
- Solves timestamp manipulation problem
“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
- Technical Inquiries: [email protected]
- Research Collaboration: [email protected]
- Open Source: github.com/nshkrdotcom
- API Access: [email protected]
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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