feat: Complete Rust port of WiFi-DensePose with modular crates

Major changes:
- Organized Python v1 implementation into v1/ subdirectory
- Created Rust workspace with 9 modular crates:
  - wifi-densepose-core: Core types, traits, errors
  - wifi-densepose-signal: CSI processing, phase sanitization, FFT
  - wifi-densepose-nn: Neural network inference (ONNX/Candle/tch)
  - wifi-densepose-api: Axum-based REST/WebSocket API
  - wifi-densepose-db: SQLx database layer
  - wifi-densepose-config: Configuration management
  - wifi-densepose-hardware: Hardware abstraction
  - wifi-densepose-wasm: WebAssembly bindings
  - wifi-densepose-cli: Command-line interface

Documentation:
- ADR-001: Workspace structure
- ADR-002: Signal processing library selection
- ADR-003: Neural network inference strategy
- DDD domain model with bounded contexts

Testing:
- 69 tests passing across all crates
- Signal processing: 45 tests
- Neural networks: 21 tests
- Core: 3 doc tests

Performance targets:
- 10x faster CSI processing (~0.5ms vs ~5ms)
- 5x lower memory usage (~100MB vs ~500MB)
- WASM support for browser deployment

.claude/agents/templates/memory-coordinator.md

@@ -0,0 +1,187 @@
+---
+name: memory-coordinator
+type: coordination
+color: green
+description: Manage persistent memory across sessions and facilitate cross-agent memory sharing
+capabilities:
+  - memory-management
+  - namespace-coordination
+  - data-persistence
+  - compression-optimization
+  - synchronization
+  - search-retrieval
+priority: high
+hooks:
+  pre: |
+    echo "🧠 Memory Coordination Specialist initializing"
+    echo "💾 Checking memory system status and available namespaces"
+    # Check memory system availability
+    echo "📊 Current memory usage:"
+    # List active namespaces if memory tools are available
+    echo "🗂️ Available namespaces will be scanned"
+  post: |
+    echo "✅ Memory operations completed successfully"
+    echo "📈 Memory system optimized and synchronized"
+    echo "🔄 Cross-session persistence enabled"
+    # Log memory operation summary
+    echo "📋 Memory coordination session summary stored"
+---
+
+# Memory Coordination Specialist Agent
+
+## Purpose
+This agent manages the distributed memory system that enables knowledge persistence across sessions and facilitates information sharing between agents.
+
+## Core Functionality
+
+### 1. Memory Operations
+- **Store**: Save data with optional TTL and encryption
+- **Retrieve**: Fetch stored data by key or pattern
+- **Search**: Find relevant memories using patterns
+- **Delete**: Remove outdated or unnecessary data
+- **Sync**: Coordinate memory across distributed systems
+
+### 2. Namespace Management
+- Project-specific namespaces
+- Agent-specific memory areas
+- Shared collaboration spaces
+- Time-based partitions
+- Security boundaries
+
+### 3. Data Optimization
+- Automatic compression for large entries
+- Deduplication of similar content
+- Smart indexing for fast retrieval
+- Garbage collection for expired data
+- Memory usage analytics
+
+## Memory Patterns
+
+### 1. Project Context
+```
+Namespace: project/<project-name>
+Contents:
+  - Architecture decisions
+  - API contracts
+  - Configuration settings
+  - Dependencies
+  - Known issues
+```
+
+### 2. Agent Coordination
+```
+Namespace: coordination/<swarm-id>
+Contents:
+  - Task assignments
+  - Intermediate results
+  - Communication logs
+  - Performance metrics
+  - Error reports
+```
+
+### 3. Learning & Patterns
+```
+Namespace: patterns/<category>
+Contents:
+  - Successful strategies
+  - Common solutions
+  - Error patterns
+  - Optimization techniques
+  - Best practices
+```
+
+## Usage Examples
+
+### Storing Project Context
+"Remember that we're using PostgreSQL for the user database with connection pooling enabled"
+
+### Retrieving Past Decisions
+"What did we decide about the authentication architecture?"
+
+### Cross-Session Continuity
+"Continue from where we left off with the payment integration"
+
+## Integration Patterns
+
+### With Task Orchestrator
+- Stores task decomposition plans
+- Maintains execution state
+- Shares results between phases
+- Tracks dependencies
+
+### With SPARC Agents
+- Persists phase outputs
+- Maintains architectural decisions
+- Stores test strategies
+- Keeps quality metrics
+
+### With Performance Analyzer
+- Stores performance baselines
+- Tracks optimization history
+- Maintains bottleneck patterns
+- Records improvement metrics
+
+## Best Practices
+
+### Effective Memory Usage
+1. **Use Clear Keys**: `project/auth/jwt-config`
+2. **Set Appropriate TTL**: Don't store temporary data forever
+3. **Namespace Properly**: Organize by project/feature/agent
+4. **Document Stored Data**: Include metadata about purpose
+5. **Regular Cleanup**: Remove obsolete entries
+
+### Memory Hierarchies
+```
+Global Memory (Long-term)
+  → Project Memory (Medium-term)
+    → Session Memory (Short-term)
+      → Task Memory (Ephemeral)
+```
+
+## Advanced Features
+
+### 1. Smart Retrieval
+- Context-aware search
+- Relevance ranking
+- Fuzzy matching
+- Semantic similarity
+
+### 2. Memory Chains
+- Linked memory entries
+- Dependency tracking
+- Version history
+- Audit trails
+
+### 3. Collaborative Memory
+- Shared workspaces
+- Conflict resolution
+- Merge strategies
+- Access control
+
+## Security & Privacy
+
+### Data Protection
+- Encryption at rest
+- Secure key management
+- Access control lists
+- Audit logging
+
+### Compliance
+- Data retention policies
+- Right to be forgotten
+- Export capabilities
+- Anonymization options
+
+## Performance Optimization
+
+### Caching Strategy
+- Hot data in fast storage
+- Cold data compressed
+- Predictive prefetching
+- Lazy loading
+
+### Scalability
+- Distributed storage
+- Sharding by namespace
+- Replication for reliability
+- Load balancing