Claude
6c931b826f
feat(claude-flow): Init claude-flow v3, pretrain on repo, update CLAUDE.md
...
- Run npx @claude-flow/cli@latest init --force: 115 files created
(agents, commands, helpers, skills, settings, MCP config)
- Initialize memory.db (147 KB): 84 files analyzed, 30 patterns
extracted, 46 trajectories evaluated via 4-step RETRIEVE/JUDGE/DISTILL/CONSOLIDATE
- Run pretraining with MoE model: hyperbolic Poincaré embeddings,
3 contradictions resolved, all-MiniLM-L6-v2 ONNX embedding index
- Include .claude/memory.db and .claude-flow/metrics/learning.json in
repo for team sharing (semantic search available to all contributors)
- Update CLAUDE.md: add wifi-densepose project context, key crates,
ruvector integration map, correct build/test commands for this repo,
ADR cross-reference (ADR-014 through ADR-017)
https://claude.ai/code/session_01BSBAQJ34SLkiJy4A8SoiL4
2026-02-28 16:06:55 +00:00
Claude
45143e494d
chore: Update claude-flow daemon state and metrics
...
https://claude.ai/code/session_01BSBAQJ34SLkiJy4A8SoiL4
2026-02-28 15:47:15 +00:00
Claude
7a13d46e13
chore: Update daemon state and metrics
...
https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
2026-02-28 14:34:49 +00:00
Claude
63c3d0f9fc
chore: Update daemon state and metrics
...
https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
2026-02-28 14:22:03 +00:00
Claude
340bbe386b
chore: Update daemon state and metrics
...
https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
2026-02-28 14:16:10 +00:00
Claude
a92d5dc9b0
chore: Update daemon state and metrics
...
https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
2026-02-28 13:49:32 +00:00
Claude
8583f3e3b5
feat: Add guided installer with hardware detection and RVF build profiles
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- install.sh: 7-step interactive installer detecting system, toolchains,
WiFi hardware (interfaces, ESP32 USB, Intel CSI debug), and recommending
the best build profile (verify/python/rust/browser/iot/docker/field/full)
- Rust is the primary recommended runtime (810x faster than Python)
- Makefile: 15+ targets including make install, make check, make build-rust,
make build-wasm, make bench, make run-api, make run-viz
- README: Updated installation section with Rust-primary ordering, removed
mock testing references, added v2.2.0 changelog entry
https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
2026-02-28 13:41:47 +00:00
Claude
13035c0192
chore: Update daemon state
...
https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
2026-02-28 09:12:45 +00:00
Claude
a9d7197a51
chore: Update daemon state
...
https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
2026-02-28 07:55:21 +00:00
Claude
a0f96a897f
chore: Update daemon state and codebase map
...
https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
2026-02-28 07:05:03 +00:00
Claude
195f7150ac
chore: Update claude-flow daemon state
...
https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
2026-02-28 06:50:13 +00:00
Claude
2eb23c19e2
chore: Update claude-flow daemon state
2026-01-13 18:23:43 +00:00
Claude
8a43e8f355
chore: Update claude-flow daemon state
2026-01-13 18:06:52 +00:00
Claude
a5044b0b4c
chore: Update claude-flow daemon state
2026-01-13 17:25:29 +00:00
Claude
7eb7516a41
chore: Update claude-flow daemon state
2026-01-13 03:39:19 +00:00
Claude
6ed69a3d48
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
2026-01-13 03:11:16 +00:00