rUv 8ff416c62a feat(gnn-v2): Comprehensive GNN v2 implementation with cognitive substrate (#43) ... * docs: Add comprehensive GNN v2 implementation plans Add 22 detailed planning documents for 19 advanced GNN features: Tier 1 (Immediate - 3-6 months): - GNN-Guided HNSW Routing (+25% QPS) - Incremental Graph Learning/ATLAS (10-100x faster updates) - Neuro-Symbolic Query Execution (hybrid neural + logical) Tier 2 (Medium-Term - 6-12 months): - Hyperbolic Embeddings (Poincaré ball model) - Degree-Aware Adaptive Precision (2-4x memory reduction) - Continuous-Time Dynamic GNN (concept drift detection) Tier 3 (Research - 12+ months): - Graph Condensation (10-100x smaller graphs) - Native Sparse Attention (8-15x GPU speedup) - Quantum-Inspired Attention (long-range dependencies) Novel Innovations (10 experimental features): - Gravitational Embedding Fields, Causal Attention Networks - Topology-Aware Gradient Routing, Embedding Crystallization - Semantic Holography, Entangled Subspace Attention - Predictive Prefetch Attention, Morphological Attention - Adversarial Robustness Layer, Consensus Attention Includes comprehensive regression prevention strategy with: - Feature flag system for safe rollout - Performance baseline (186 tests + 6 search_v2 tests) - Automated rollback mechanisms Related to #38 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(micro-hnsw-wasm): Add neuromorphic HNSW v2.3 with SNN integration ## New Crate: micro-hnsw-wasm v2.3.0 - Published to crates.io: https://crates.io/crates/micro-hnsw-wasm - 11.8KB WASM binary with 58 exported functions - Neuromorphic vector search combining HNSW + Spiking Neural Networks ### Core Features - HNSW graph-based approximate nearest neighbor search - Multi-distance metrics: L2, Cosine, Dot product - GNN extensions: typed nodes, edge weights, neighbor aggregation - Multi-core sharding: 256 cores × 32 vectors = 8K total ### Spiking Neural Network (SNN) - LIF (Leaky Integrate-and-Fire) neurons with membrane dynamics - STDP (Spike-Timing Dependent Plasticity) learning - Spike propagation through graph topology - HNSW→SNN bridge for similarity-driven neural activation ### Novel Neuromorphic Features (v2.3) - Spike-Timing Vector Encoding (rate-to-time conversion) - Homeostatic Plasticity (self-stabilizing thresholds) - Oscillatory Resonance (40Hz gamma synchronization) - Winner-Take-All Circuits (competitive selection) - Dendritic Computation (nonlinear branch integration) - Temporal Pattern Recognition (spike history matching) - Combined Neuromorphic Search pipeline ### Performance Optimizations - 5.5x faster SNN tick (2,726ns → 499ns) - 18% faster STDP learning - Pre-computed reciprocal constants - Division elimination in hot paths ### Documentation & Organization - Reorganized docs into subdirectories (gnn/, implementation/, publishing/, status/) - Added comprehensive README with badges, SEO, citations - Added benchmark.js and test_wasm.js test suites - Added DEEP_REVIEW.md with performance analysis - Added Verilog RTL for ASIC synthesis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(exo-ai-2025): Publish 9 cognitive substrate crates to crates.io Published the complete EXO-AI 2025 cognitive substrate to crates.io: Crates published (v0.1.0): - exo-core: IIT consciousness (Φ) measurement & Landauer thermodynamics - exo-temporal: Temporal memory coordinator with causal structure - exo-hypergraph: Hypergraph substrate for higher-order reasoning - exo-manifold: SIREN networks for continuous manifold deformation - exo-exotic: 10 exotic experiments (Strange Loops, Dreams, Free Energy, etc.) - exo-federation: Post-quantum federated cognitive mesh - exo-backend-classical: SIMD-accelerated classical compute backend - exo-wasm: Browser & edge WASM deployment - exo-node: Node.js bindings via NAPI-RS Changes: - Updated all Cargo.toml files with publishing metadata - Added crates.io, docs.rs, and license badges to READMEs - Added GitHub and ruv.io links to all documentation - Created README.md files for crates that were missing them - Updated dependency references for crates.io publishing 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: Add meta-cognition spiking neural network demos and spiking-neural package - Add meta-cognition SNN examples with AgentDB integration - Include hyperbolic attention, SIMD optimization, and vector search demos - Add spiking-neural package foundation - Update psycho-symbolic-integration package 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com>		2025-12-02 11:26:10 -05:00
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agentic-synth	fix(security): Resolve all 10 npm audit vulnerabilities	2025-12-01 19:36:37 +00:00
agentic-synth-examples	fix(security): Resolve all 10 npm audit vulnerabilities	2025-12-01 19:36:37 +00:00
graph-data-generator	fix(security): Resolve all 10 npm audit vulnerabilities	2025-12-01 19:36:37 +00:00
psycho-symbolic-integration	feat(gnn-v2): Comprehensive GNN v2 implementation with cognitive substrate (#43)	2025-12-02 11:26:10 -05:00
psycho-synth-examples	fix: Critical production blockers resolved (syntax error + memory leak)	2025-11-23 14:45:05 +00:00
spiking-neural	feat(gnn-v2): Comprehensive GNN v2 implementation with cognitive substrate (#43)	2025-12-02 11:26:10 -05:00