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Complete SPARC methodology implementation plan for the ruvector-attention crate with 15-agent swarm execution outputs. ## SPARC Methodology Documents (6 files, ~375KB): ### 01-specification.md - 10 attention mechanisms (Scaled Dot-Product, Multi-Head, Hyperbolic, Sparse, Linear, Flash, Edge-Featured, RoPE, MoE, Cross-Attention) - Performance targets: <200ms p95 @ 1K neighbors - 20-week implementation timeline ### 02-architecture.md - Unified attention framework with trait hierarchy - Module dependencies and data flow - Platform architecture (WASM, NAPI-RS, CLI) - SIMD and performance optimization design ### 03-pseudocode.md - Complete algorithmic specifications for all attention types - Complexity analysis (time/space) - Training procedures (InfoNCE, curriculum, hard negatives) ### 04-swarm-implementation.md - Hierarchical topology: 1 Queen + 22 workers in 8 teams - 5-phase execution plan (18 weeks) - Agent communication protocol with memory coordination ### 05-testing-benchmarks.md - Testing pyramid (70% unit, 25% integration, 5% E2E) - Criterion benchmark suite - Performance targets and regression detection ### 06-platform-bindings.md - WASM with wasm-bindgen - NAPI-RS for Node.js 18/20/22 - CLI with clap (compute, benchmark, serve, repl) - SDK design (Rust, TypeScript, Python) ## 15-Agent Swarm Outputs (agents/, ~690KB): | Agent | Focus | Output | |-------|-------|--------| | 01 | Core Attention | Traits, ScaledDot, MultiHead | | 02 | Hyperbolic | Poincaré ball, Möbius ops | | 03 | Sparse | Local+Global, Linear, Flash | | 04 | Graph | Edge-Featured, RoPE, DualSpace | | 05 | MoE | Router, experts, load balancing | | 06 | Training | Losses, optimizers, curriculum | | 07 | WASM | wasm-bindgen bindings | | 08 | NAPI-RS | Node.js native bindings | | 09 | CLI | clap commands, HTTP server | | 10 | SDK | Rust, TypeScript, Python APIs | | 11 | Unit Tests | Comprehensive test suite | | 12 | Integration | Cross-crate testing | | 13 | Benchmarks | Criterion performance suite | | 14 | SIMD | AVX2, NEON, WASM SIMD | | 15 | CI/CD | GitHub Actions workflows | Total: 21 files, ~1MB of production-ready implementation plans |
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| .. | ||
| implementation-plans | ||
| advanced-architectures.md | ||
| attention-mechanisms-research.md | ||
| gnn-architecture-analysis.md | ||
| hnsw-cognitive-structures.md | ||
| hnsw-evolution-overview.md | ||
| hnsw-neural-augmentation.md | ||
| hnsw-quantum-hybrid.md | ||
| hnsw-ruvector-integration.md | ||
| hnsw-self-organizing.md | ||
| hnsw-theoretical-foundations.md | ||
| implementation-roadmap.md | ||
| latent-graph-interplay.md | ||
| optimization-strategies.md | ||