6ed69a3d48
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
20 lines
435 B
JSON
20 lines
435 B
JSON
{
|
|
"mcpServers": {
|
|
"claude-flow": {
|
|
"command": "npx",
|
|
"args": [
|
|
"@claude-flow/cli@latest",
|
|
"mcp",
|
|
"start"
|
|
],
|
|
"env": {
|
|
"CLAUDE_FLOW_MODE": "v3",
|
|
"CLAUDE_FLOW_HOOKS_ENABLED": "true",
|
|
"CLAUDE_FLOW_TOPOLOGY": "hierarchical-mesh",
|
|
"CLAUDE_FLOW_MAX_AGENTS": "15",
|
|
"CLAUDE_FLOW_MEMORY_BACKEND": "hybrid"
|
|
},
|
|
"autoStart": false
|
|
}
|
|
}
|
|
} |