Software and research code.

The full reference implementation, including Subjective Logic, FHIR interoperability, security hardening, temporal operations, and AI/ML metadata.

A feature-complete JavaScript/TypeScript implementation with built-in type declarations and an MCP server.

The formal gap analysis and extension proposal behind the framework.

Normalized token accounting, effective-budget gauges, turns-to-exhaustion prediction, and compaction/handoff policies.

Terminal gauges and renderers that present context-budget telemetry.

Language-parity implementations and a unified handoff-fidelity protocol are developed together.

Parallel implementations of the BB[2/7] hash-augmented tree for efficient text and state operations.

Genomic region comparison, mutation localization, tandem-repeat analysis, and drug-resistance screening.

Sub-linear context routing and dynamic state management for agentic LLMs using hash-augmented ropes.

Temporal validity and the Temporal-Logical Decay Architecture for time-aware AI and RAG systems.

Subjective-Logic confidence algebra and a Jac/Jaseci agent walker for verifiable knowledge workflows.

Time-decayed uncertainty for retrieval and air-gapped neuro-symbolic cognition over verified edge state.

A production-stable runtime for budgeting agent work, enforcing versioned action gates, auditing execution trees, and replaying decisions.

A bridging gateway, MCP-Lite server, and four-tier taxonomy for extending the Model Context Protocol to constrained devices.

An interactive security lab covering MCP, autonomous agents, AI pipelines, attack surfaces, and defensive patterns.

Compact Data Exchange Format: a universal binary interchange layer for JSON, YAML, XML, and TOML.

Compact Binary Linked Data with semantic reasoning for constrained IoT networks.

A unified hash-compression engine for hashing directly over LZ77 streams.

A unified explainability framework spanning LIME, SHAP, LRP, TCAV, Grad-CAM variants, cohorts, and more.

A language-agnostic generator and evaluator for speech corpora with maximal phoneme coverage.

Physics-grounded energy metrics and a dual-timescale SSM-attention architecture for robotics and IoT language models.

A hardware-aware agent that diagnoses and repairs incompatible Python machine-learning stacks.

Encoding and decoding for RGB, UV, and NIR multi-layer QR codes, with optional ML-based separation.

Neural steganographic data embedding in QR codes with switchable channel modes.