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Author SHA1 Message Date
ruvnet
758fce1a22 chore(workspace): cargo fmt nested workspaces — rvf/, examples/* 
Root-level `cargo fmt --all` doesn't recurse into nested workspaces
(crates/rvf/, examples/onnx-embeddings/, examples/data/, …), but
CI's `cargo fmt --all -- --check` was failing on files inside them
(e.g. crates/rvf/rvf-wire/src/hash.rs).

Ran `cargo fmt --all` inside each nested workspace. Mechanical-only
whitespace, no semantic change.

Touched nested workspaces:
  crates/rvf/*
  examples/onnx-embeddings/*
  examples/data/*
  examples/mincut/*
  examples/exo-ai-2025/*
  examples/prime-radiant/*
  examples/rvf/*
  examples/ultra-low-latency-sim/*
  examples/edge/*
  examples/vibecast-7sense/*
  examples/onnx-embeddings-wasm/*

Combined with previous commit (96d8fdc17), the full workspace tree
should now pass `cargo fmt --all -- --check` in CI.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-04-24 10:51:14 -04:00
Claude
9983d09283 feat: deep discovery analyses + brain MCP training integration 
Add 4 new graph-cut examples analyzing real public datasets:
- seismic_risk.rs: Gutenberg-Richter b-value anomaly detection per grid cell
- climate_tipping.rs: multi-resolution cross-scale regime change detection
- habitability_bias.rs: exoplanet habitability scoring + discovery-method bias
- brain_training_integration.rs: feeds discoveries into π.ruv.io SONA training

Fix brain MCP server: wire 7 missing AGI tool dispatches (brain_train,
brain_agi_status, brain_sona_stats, brain_temporal, brain_explore,
brain_midstream, brain_flags) into handle_mcp_tool_call.

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
f36bfade5a feat: real-data discovery pipeline across 3 public datasets 
Analyze real NASA, USGS, and NOAA data using graph-cut anomaly detection:
- Exoplanets: flagged VHS J1256b (5085 Mearth direct-imaging outlier),
  CFHTWIR-Oph 98b (wide-orbit giant), Kepler-1704b (e=0.92 eccentric)
- Earthquakes: detected Tonga deep swarm (51 events, avg depth 546km),
  M7.1 Malaysia deep quake (620km), M6.0 Italy deep event (382km)
- Climate: 2010-2026 warming rate +0.385C/decade (2x faster than 1970-1990),
  2025 is warmest year at +1.31C anomaly

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
1b09c44a9b feat: QAOA quantum graph-cut solver via ruQu 
New example qaoa_graphcut.rs demonstrates quantum-classical hybrid
graph-cut solving using ruQu's QAOA MaxCut implementation as an
alternative to the classical Edmonds-Karp mincut solver.

- 3 test cases: 1D chains (8, 10 nodes) and 2D grid (3x4)
- Encodes graph-cut as MaxCut with source/sink auxiliary nodes
- Compares QAOA vs classical: energy, quality ratio, F1
- Convergence analysis sweeping QAOA depth p=1-5
- 340 lines, self-contained

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
7397abdac9 feat: Kepler's 3rd law, seeded orbits, log BLS grid, multi-duration search 
PlanetDashboard: semi-major axis uses a=P^(2/3) instead of P/30,
orbit eccentricity/inclination derived from candidate name hash
for deterministic reproducibility.

planet_detection: 400 log-spaced trial periods for uniform sensitivity,
5 trial transit durations (0.01-0.035) instead of single 0.02 duty cycle.

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
6295b3fa20 refactor: trim ADR-040 to 493 lines, enhance real_microlensing adapter 
ADR-040: Replace extracted dashboard and microlensing sections with
cross-references to ADR-040a and ADR-040b. Condense data model,
adapters, and constructs. Core pipeline content preserved.

real_microlensing: Add download manifest with 12 real OGLE/MOA events
(8 confirmed planets), cross-survey normalization, enhanced MOA parser,
simulated download from published parameters.

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
847ca8fdc9 docs: ADR-040 sub-splits and real_microlensing doc cleanup 
- Split ADR-040 into sub-ADRs: 040a (dashboard), 040b (microlensing/cross-domain)
- Clean up real_microlensing.rs documentation header

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
fd2e160e88 fix: XSS sanitization, sort comparator, iterative cut refinement 
- PlanetDashboard: add escapeHtml() for API data in innerHTML (XSS fix),
  extend string column set for proper sort ordering
- exomoon_graphcut: 3-iteration mincut with lambda boost/decay
  (F1 improved 0.261 → 0.308, +18%)
- planet_detection: document synthetic embedding limitation

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
32b442c822 feat: benchmark-driven optimization, missing dashboard components, ADR update 
Benchmark results and optimizations:
- Medical: Dice 0.559-0.750 vs threshold 0.316-0.461 (+41-77%)
- Genomic: WGS sens=0.951/spec=1.000, all 4 drivers detected
- Climate: F1=0.513 vs 0.333 (+54%), precision 0.833
- Cyber: recall 0.762 vs 0.375, F1=0.400 vs 0.377
- Supply chain: precision 0.890, FPR 0.007 vs 0.014
- Financial: recall 0.800, FPR -40% vs threshold
- Exomoon: F1=0.261 (perturbative SNR limit)

Missing dashboard components (ADR-040 spec):
- MoleculeMatrix.ts: heatmap of molecule confidence for V4 Life
- CausalFlow.ts: animated particles along causal edges for V1 Atlas
- LODController.ts: boundary/topk/full level-of-detail for atlas
- DownloadProgress.ts: tier progress bars for V5 Status

ADR-040 additions:
- Microlensing pipeline (M0-M3) with MRF/mincut formulation
- Cross-domain graph-cut applications (6 verticals)
- Measured results section with benchmark data
- Rust crate structure documentation
- Additional data sources (OGLE, MOA, TCGA, CICIDS2017, etc.)

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
19ccb40362 fix: finalize climate_graphcut.rs from background agent 
https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
7fa36fc834 feat: add fintech, cybersecurity, and climate graph-cut examples 
- Financial fraud: credit card fraud detection with 5 attack types
  (card-not-present, account takeover, card clone, synthetic, refund),
  log-normal transaction amounts, temporal chain + merchant edges
- Cybersecurity: network threat detection with 6 attack types
  (port scan, brute force, exfiltration, C2 beacon, DDoS, lateral
  movement), flow-level features, source/destination graph edges
- Climate: environmental anomaly detection on 30x40 station grid
  with 6 event types (heat wave, pollution spike, drought, ocean
  warming, cold snap, sensor fault), spatial adjacency + gradient
  weighted edges

All examples use Edmonds-Karp mincut, RVF witness chains, filtered
queries, and lineage derivation.

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
028f7e2cdb feat: optimize graph-cut pipelines, add supply chain anomaly detection 
- Medical: adaptive local thresholding (7x7 neighborhood), 8-connected
  grid with Gaussian gradient-weighted edges
- Genomic: platform-adaptive thresholds, GC-content bias correction,
  skip-2 segment smoothing edges
- Exomoon: finer bump-fit grid (16x8 vs 11x5) for better perturbation
  sensitivity
- New: supply chain anomaly detection (logistics vertical) with 6
  disruption types, multi-tier network graph, RVF witness chain

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
2f93a95945 refine: streamline medical and genomic graph cut examples 
Reduce both examples to under 500 lines per CLAUDE.md guidelines.
Preserve all functionality: graph cut segmentation, RVF integration,
witness chains, evaluation metrics, and cancer driver gene detection.

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
b735559f7a feat: add real microlensing, medical imaging, and genomic graph cut pipelines 
Three new examples extending the graph cut / MRF optimization framework:

1. real_microlensing.rs — Real data analysis pipeline
   - Simulates events with parameters from published OGLE/MOA discoveries
   - OGLE-2005-BLG-390 (first cool super-Earth), MOA-2011-BLG-262 (rogue+moon candidate)
   - OGLE-2016-BLG-1195 (ice planet), MOA-2009-BLG-387 (massive planet)
   - OGLE EWS format parser for future real data ingestion
   - Correctly identifies 2 planet candidates + 1 moon candidate
   - Cross-event similarity search via RVF embeddings

2. medical_graphcut.rs — Medical imaging lesion segmentation
   - Synthetic 2D tissue with injected tumors (T1-MRI, T2-MRI, CT modalities)
   - Per-voxel feature extraction: intensity, texture, multi-scale statistics
   - Graph cut with spatial adjacency + gradient-weighted edges
   - Outperforms simple thresholding: Dice 0.44-0.59 vs 0.32-0.46
   - RVF storage with modality-filtered similarity search

3. genomic_graphcut.rs — DNA copy number variant detection
   - Synthetic chromosomes with CNV gains, losses, LOH, mutation hotspots
   - WGS (30x), WES (100x), targeted panel (500x) sequencing platforms
   - Graph cut segmentation: linear chain + RuVector similarity edges
   - Cancer driver genes (TP53, BRCA1, EGFR, MYC) detected across all platforms
   - Sensitivity 91-95%, specificity 66-97% depending on platform

All examples include RVF integration (embeddings, filtered queries, lineage,
witness chains) and demonstrate the graph cut framework's versatility across
astrophysics, medical imaging, and genomics domains.

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
e57d5135ff refine: improve exomoon graph cut pipeline detection quality 
Key improvements to the exomoon detection pipeline:

PSPL Fitting:
- Extract pspl_chi2_at() helper for reuse
- Add fine refinement pass (±1 unit, 0.2 step) around coarse grid best
- Better parameter recovery for all geometric parameters

Lambda Computation:
- Three complementary statistics: excess chi2, runs test coherence, Gaussian bump fit
- Excess chi2 normalized against event's global reduced chi2 (not theoretical)
- Differential lambda: compare each window to its tau-neighbors, producing
  z-scores that are ~0 for uniform fit quality and positive for localized anomalies
- This key change prevents the cut from labeling entire peak regions as moon

Detection Criteria:
- J-score from lambda_sum with per-window penalty (replacing BIC formalism)
- Fragility bootstrap for support stability
- Support fraction bounded (2-50%) for localization

Embeddings:
- Fixed residual computation to use fitted F_s * A(u) + F_b model
- Injection bank labels based on positive local evidence (not just geometry)
- Bank size increased to 60 events for better prior calibration

Current metrics: P=25%, R=25%, F1=0.25 on 30 synthetic events.
Detection quality is limited by the perturbative Chang-Refsdal
approximation — production requires a full polynomial lens solver,
as noted in the user's formulation.

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
69a318e375 feat: add exomoon detection via graph cut / MRF optimization 
Implements full s-t mincut pipeline for exomoon detection:
- Binary lens (Chang-Refsdal perturbation) magnification model
- PSPL grid search with linear F_s/F_b regression
- Per-window lambda_i scoring with Occam penalty
- RuVector retrieval prior from injection bank
- Temporal chain + kNN pairwise edges for MRF graph
- Edmonds-Karp BFS max-flow / min-cut solver
- Global BIC + fragility J-score decision rule
- MOA-II and OGLE-IV survey cadence adapters
- RVF integration with witness chains and metadata

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
b08514bf58 fix: correct metadata field_id type to u16, register microlensing example 
- Change FIELD_* constants from u32 to u16 to match MetadataEntry.field_id type
- Add microlensing_detection example to Cargo.toml

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:43 -04:00
Claude
538755765c fix: planet finder review fixes + add microlensing detection pipeline 
Review fixes:
- Fix XSS vulnerability in PlanetDashboard.ts (sanitize innerHTML with API data)
- Fix SNR variance calculation in planet_detection.rs (use out-of-transit only)
- Fix sort comparator for string columns in PlanetDashboard.ts
- Fix material/texture memory leaks in PlanetSystem3D.ts (dispose on clearSystem/destroy)
- Fix camera auto-rotate drift by storing intended radius
- Use Kepler's third law for semi-major axis calculation
- Seed orbit eccentricity/inclination from candidate ID for reproducibility
- Add metadata field constants (replace magic numbers)
- Document synthetic embedding limitation
- Fix ADR-040 typo ("two-machinevisu" → "two-machine")

New feature:
- Add microlensing_detection.rs example with M0-M3 pipeline for rogue planet
  and exomoon candidate detection using synthetic OGLE/MOA-style light curves
  with Paczynski PSPL fitting, residual anomaly detection, and coherence gating

https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
 2026-03-16 23:14:42 -04:00
rUv
229877fe9a fix: ruvector-postgres v0.3.1 — audit bug fixes, 46 SQL functions, Docker publish (#227) 
Fixes #226
 2026-03-03 12:53:10 -05:00
rUv
cd69d46140 fix: address review issues in openfang RVF example 
- Fix fragile persistence assertion: compare against post-delete baseline
  instead of pre-delete `all` which could include the deleted twitter vector
- Extract segment type magic numbers into named constants (SEG_VEC, etc.)
- Add comments for raw AGI container flag bitmasks (bits 4 and 10)
- Add seed non-overlap comment for vector generation
- Improve hex() to use pre-allocated String with fmt::Write

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-26 16:00:40 +00:00
Claude
59a7ee866d Expand openfang to full RVF surface demo (14 -> 24 capabilities) 
Add 10 new capability demonstrations:

- Quality envelope (query_with_envelope): ResponseQuality, safety-net
  activation, budget reporting
- Audited queries (query_audited): auto-appended witness per search
- Membership filter: tenant isolation via include-mode bitmap
- DoS hardening: BudgetTokenBucket, NegativeCache, ProofOfWork
- Adversarial detection: CV analysis, degenerate distribution check
- Embed WASM: microkernel role, self-bootstrapping verification
- Embed kernel: Linux image with cmdline and API port
- Embed eBPF: socket filter program (2 instructions)
- Embed dashboard: HTML registry bundle
- AGI container: full manifest with model, orchestrator, tools, eval,
  policy, parsed back with ParsedAgiManifest

All 24 steps pass, including persistence round-trip verifying that
WASM, kernel, eBPF, and dashboard segments survive close/reopen.

Update README with capability table, architecture notes for each new
feature (quality envelope, audited queries, membership, DoS, adversarial,
segment embedding, AGI container).

https://claude.ai/code/session_015KgxqLUhevxop1jhiZY2Y4
 2026-02-26 14:47:29 +00:00
Claude
2fddbdbd61 Optimize openfang RVF example with deep capability integration 
- Extract Registry struct, metadata helpers, and witness helper to reduce
  repetition and improve readability
- Replace dead `_description` field with lean struct definitions
- Add per-category vector biasing via hash-based offsets for better clustering
- Use named constants for metadata field IDs (F_TYPE, F_NAME, etc.)
- Integrate 6 additional RVF capabilities:
  - Delete + compact lifecycle (decommission twitter, reclaim 512 bytes)
  - Derive with lineage tracking (parent/child provenance, depth=0->1)
  - COW branching + freeze (staging env with experimental 'sentinel' agent)
  - Segment directory inspection (raw segment types/offsets)
  - File identity preservation across close/reopen
  - Last witness hash inspection
- Expand from 10 steps to 14 covering the full RVF API surface
- Update README with capability table, architecture notes, and lifecycle docs

https://claude.ai/code/session_015KgxqLUhevxop1jhiZY2Y4
 2026-02-26 14:33:33 +00:00
Claude
2da4944c66 Add OpenFang Agent OS RVF example 
Standalone RVF knowledge base modeling the OpenFang agent OS architecture:
- 7 autonomous Hands with tier/security metadata
- 38 built-in tools across 12 categories
- 20 channel adapters with protocol metadata
- Task routing via nearest-neighbor search
- Security and tier filtering with combined filter expressions
- Cryptographic witness chain audit trail
- Persistence verification (close/reopen round-trip)
- All tests passing, 65 vectors in ~35KB

https://claude.ai/code/session_015KgxqLUhevxop1jhiZY2Y4
 2026-02-26 14:24:42 +00:00
rUv
13cf7215b0 feat(security): Security Hardened RVF v3.0 — 30 capabilities verified 
Upgrade from 22 to 30 capabilities exercising every major RVF API:
- KernelBinding anti-tamper (manifest_root + policy_hash binding)
- Dual WASM modules (Interpreter + Microkernel, self-bootstrapping)
- DASHBOARD_SEG embedded security monitoring UI
- Scalar quantization (int8, 4x compression) via rvf-quant
- Binary quantization (1-bit, 32x compression) + Hamming distance
- Filter deletion + compaction lifecycle
- QEMU requirements check via rvf-launch
- Freeze/seal permanent immutability
- Additional kernel flags: VIRTIO_NET, VSOCK, INGEST_API
- RvfOptions: signing=true, profile=3, m=32, ef_construction=400

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-21 17:39:58 +00:00
rUv
23dead6330 feat(security): Security Hardened RVF v2.0 — One File To Rule Them All 
Include the generated 2.1 MB .rvf binary artifact in repo alongside
the v2.0 optimized example (22 capabilities, zero warnings, Paranoid
policy, audited queries, COW branching, SSN/encoding detection).

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-21 16:31:43 +00:00
rUv
73cf7d13b6 feat(security): ADR-042 Security RVF — AIDefence + TEE hardened container 
6-layer defense-in-depth in a single sealed RVF file:
  1. TEE attestation (SGX, SEV-SNP, TDX, ARM CCA) with bound keys
  2. Hardened Linux microkernel (16 security configs, REQUIRES_TEE)
  3. eBPF packet filter (XDP) + syscall enforcer (Seccomp)
  4. AIDefence WASM engine (injection, jailbreak, PII, behavioral)
  5. Ed25519 signing + SHAKE-256 content hashes + Paranoid policy
  6. 6-role RBAC + Coherence Gate authorization

20 capabilities verified, 10/10 AIDefence tests, 3/3 tamper rejections,
30-entry witness chain, 1000 threat signatures (512-dim), 3 tenant stores.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-21 00:45:25 +00:00
rUv
b455ef9d80 merge: resolve examples/rvf/Cargo.toml conflict with main 
Keep both solver examples (solver_witness, sparse_matrix_store,
solver_benchmark) and causal atlas examples from main.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-20 18:10:40 +00:00
rUv
084b26446f merge: resolve conflicts with main 
Accept main's updated binaries and npm packages, keep our solver
fixes (evaluate-before-train, conservative Thompson, noise injection)
and dashboard/desktop additions.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-20 18:05:55 +00:00
rUv
265d6cb1b0 feat(rvf): add Causal Atlas dashboard, solver fixes, and desktop app 
ADR-040 Causal Atlas implementation with full Three.js dashboard:
- Planet detection, life candidate scoring, Dyson sphere 3D views
- WASM solver with fixed acceptance test (evaluate-before-train,
  conservative Thompson sampling, non-contradictory noise injection)
- wry-based desktop app embedding the full dashboard (1.6 MB binary)
- WebSocket live updates, docs view, download page, status dashboard
- 10/10 seed acceptance pass rate (was ~40% before fixes)

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-20 18:01:09 +00:00
Claude
894a2c0738 feat: Add solver RVF examples and update Cargo.toml entries 
- solver_benchmark.rs: Store benchmark results in RVF for analysis
- Updated solver_witness.rs with refinements
- Updated examples/rvf/Cargo.toml with 3 new [[example]] entries
- Updated examples/rvf/src/lib.rs with new example documentation
- Refined AGI sublinear optimization review

https://claude.ai/code/session_01TiqLbr2DaNAntQHaVeLfiR
 2026-02-20 07:12:09 +00:00
Claude
e666a40795 docs: Polish crate READMEs with badges, comparison tables, and collapsed tutorials 
- ruvector-solver: Added comparison table vs dense solvers, tutorials
- ruvector-attn-mincut: Added softmax vs min-cut comparison, end-to-end tutorial
- ruvector-coherence: Added metrics summary table, evaluation pipeline tutorial
- ruvector-profiler: Added dimension table, benchmark tutorial with output structure
- Added sparse_matrix_store.rs RVF example

https://claude.ai/code/session_01TiqLbr2DaNAntQHaVeLfiR
 2026-02-20 07:10:14 +00:00
Claude
05c90c77d1 docs: Add crate READMEs, AGI optimization review, and root README update 
- ruvector-solver README with algorithm table, performance optimizations
- ruvector-attn-mincut README with min-cut gating architecture
- ruvector-coherence README with metrics and comparison docs
- ruvector-profiler README with profiling hooks documentation
- AGI sublinear optimization review (18-agi-sublinear-optimization.md)
- Root README updated with sublinear solver section
- Enhanced solver_witness RVF example

https://claude.ai/code/session_01TiqLbr2DaNAntQHaVeLfiR
 2026-02-20 07:07:37 +00:00
Claude
9d5f870846 docs: Update ADR-STS-001 through 010 to Accepted status with implementation notes 
- All 10 ADR-STS documents updated from Proposed to Accepted
- Added implementation status sections reflecting delivered solver crate
- Updated SOTA research analysis to v3.0 with implementation realization
- Updated optimization guide to v2.0 with realized optimizations
- Updated executive summary, performance, algorithm, and testing docs
- Added solver_witness.rs RVF example

https://claude.ai/code/session_01TiqLbr2DaNAntQHaVeLfiR
 2026-02-20 07:05:54 +00:00
rUv
052c206a8c feat(rvf): add platform-specific scripts for Linux, Windows, Node, browser, Docker 
- rvf-quickstart.sh / .ps1 — 7-step RVF workflow (create, ingest, query, branch, verify)
- rvf-claude-appliance.sh / .ps1 — build & boot the 5.1 MB Claude Code Appliance
- rvf-mcp-server.sh / .ps1 — start stdio or SSE MCP server for AI agents
- rvf-node-example.mjs — full Node.js API walkthrough
- rvf-browser.html — browser WASM vector search demo
- rvf-docker.sh — containerized RVF CLI for CI/CD

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-16 14:55:15 +00:00
rUv
281c98f611 feat(rvf): add platform-specific scripts for Linux, Windows, Node, browser, Docker 
- rvf-quickstart.sh / .ps1 — 7-step RVF workflow (create, ingest, query, branch, verify)
- rvf-claude-appliance.sh / .ps1 — build & boot the 5.1 MB Claude Code Appliance
- rvf-mcp-server.sh / .ps1 — start stdio or SSE MCP server for AI agents
- rvf-node-example.mjs — full Node.js API walkthrough
- rvf-browser.html — browser WASM vector search demo
- rvf-docker.sh — containerized RVF CLI for CI/CD

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-16 14:55:15 +00:00
rUv
afe6a00eb9 docs: update READMEs with self-booting instructions, bump npm versions 
- Add Claude Code Appliance walkthrough and 5.1 MB self-boot line to
  crate, examples, npm, and root READMEs
- Add missing live_boot_proof example to table (45→46 examples)
- Update segment count references from 20→24
- Improve rvf-node npm README with full API reference
- Expand AGI Cognitive Container documentation
- Bump npm packages: rvf-node 0.1.3, rvf-wasm 0.1.3,
  rvf-mcp-server 0.1.3, rvf 0.1.5
- Include verified claude_code_appliance output files

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-16 14:43:04 +00:00
rUv
d9da216182 docs: update READMEs with self-booting instructions, bump npm versions 
- Add Claude Code Appliance walkthrough and 5.1 MB self-boot line to
  crate, examples, npm, and root READMEs
- Add missing live_boot_proof example to table (45→46 examples)
- Update segment count references from 20→24
- Improve rvf-node npm README with full API reference
- Expand AGI Cognitive Container documentation
- Bump npm packages: rvf-node 0.1.3, rvf-wasm 0.1.3,
  rvf-mcp-server 0.1.3, rvf 0.1.5
- Include verified claude_code_appliance output files

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-16 14:43:04 +00:00
rUv
b373de4985 feat(rvf): embed real Linux 6.8.12 kernel, fix Docker extract, update benchmarks 
- Examples (self_booting, linux_microkernel, claude_code_appliance,
  live_boot_proof) now use KernelBuilder::build() which tries Docker
  first and falls back to builtin stub — real 5.2 MB bzImage embedded
- Fix Docker kernel extraction: clean up stale containers, pass dummy
  entrypoint for scratch-based images
- README: add real measured boot benchmarks (257ms boot→service,
  381ms boot→verify), kernel size comparison (5.1 MB general vs
  3.8 MB ultrafast = 26% smaller)
- Fix claude_code_appliance idempotency (remove old file before create)

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-15 00:07:24 +00:00
rUv
f30e8c50f3 feat(rvf): embed real Linux 6.8.12 kernel, fix Docker extract, update benchmarks 
- Examples (self_booting, linux_microkernel, claude_code_appliance,
  live_boot_proof) now use KernelBuilder::build() which tries Docker
  first and falls back to builtin stub — real 5.2 MB bzImage embedded
- Fix Docker kernel extraction: clean up stale containers, pass dummy
  entrypoint for scratch-based images
- README: add real measured boot benchmarks (257ms boot→service,
  381ms boot→verify), kernel size comparison (5.1 MB general vs
  3.8 MB ultrafast = 26% smaller)
- Fix claude_code_appliance idempotency (remove old file before create)

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-15 00:07:24 +00:00
rUv
62f749be02 feat(rvf): add live boot proof, ultra-fast kernel config, and fast initramfs 
- Add live_boot_proof.rs: end-to-end Docker boot + SSH + RVF verification
- Add ULTRAFAST_BOOT_CONFIG: sub-100ms kernel config (no NUMA/cgroups/ext4/netfilter)
- Add build_fast_initramfs(): minimal init path (3 mounts + direct service start)
- Add KernelBuilder::ultrafast() with optimized cmdline for fast boot
- Update README with live boot proof instructions and ultra-fast boot docs
- 5 new tests (44 total in rvf-kernel), all passing

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-14 23:55:25 +00:00
rUv
fcc1bd94d7 feat(rvf): add live boot proof, ultra-fast kernel config, and fast initramfs 
- Add live_boot_proof.rs: end-to-end Docker boot + SSH + RVF verification
- Add ULTRAFAST_BOOT_CONFIG: sub-100ms kernel config (no NUMA/cgroups/ext4/netfilter)
- Add build_fast_initramfs(): minimal init path (3 mounts + direct service start)
- Add KernelBuilder::ultrafast() with optimized cmdline for fast boot
- Update README with live boot proof instructions and ultra-fast boot docs
- 5 new tests (44 total in rvf-kernel), all passing

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-14 23:55:25 +00:00
rUv
b63ff563ad feat(rvf): RuVector Format — Universal Cognitive Container SDK (#166) 
* feat(rvf): add RuVector Format universal substrate specification

Research and design for RVF — a streaming, progressive, adaptive, quantum-secure
binary format for vector intelligence. Covers append-only segment model, two-level
tail manifests, temperature tiering, progressive HNSW indexing, epoch-based overlay
system, SIMD-optimized query paths, WASM microkernel for Cognitum tiles, domain
profiles (RVDNA, RVText, RVGraph, RVVision), and post-quantum cryptography.

https://claude.ai/code/session_01DDqjGE51JpsRE3DgUjFyjW

* feat(rvf): add deletion, filtered search, concurrency, and operations specs

Fill four specification gaps in the RVF format design:
- spec/07: Vector deletion lifecycle, JOURNAL_SEG wire format, deletion bitmaps
- spec/08: Filtered search with META_SEG, METAIDX_SEG, filter expression language
- spec/09: Writer locking, reader-writer coordination, versioning, space reclamation
- spec/10: Batch operations API, error codes, network streaming protocol

Also fixes the segment header field conflict between spec/01 and wire/binary-layout.md
(checksum_algo/compression now u8, adds uncompressed_len at 0x38).

https://claude.ai/code/session_01DDqjGE51JpsRE3DgUjFyjW

* feat(rvf): add RuVector Format SDK, 40 examples, MCP server, and documentation

Complete RVF implementation including:
- 12 Rust crates (rvf-types, rvf-wire, rvf-manifest, rvf-index, rvf-quant,
  rvf-crypto, rvf-runtime, rvf-import, rvf-wasm, rvf-node, rvf-server,
  plus integration tests)
- 40 runnable examples covering core storage, agentic AI, production
  patterns, vertical domains, exotic capabilities, runtime targets,
  network/security, POSIX/systems, and network operations
- TypeScript SDK (npm/packages/rvf) with RvfDatabase class
- MCP server (npm/packages/rvf-mcp-server) with stdio and SSE transports
- Node.js N-API bindings (npm/packages/rvf-node)
- WASM package (npm/packages/rvf-wasm)
- ADR-029 (canonical format), ADR-030 (computational container),
  ADR-031 (example repository)
- DNA-style lineage provenance, computational containers (KERNEL_SEG,
  EBPF_SEG), witness chains, TEE attestation, domain profiles
- Superseded ADR annotations for ADR-001, ADR-005, ADR-006, ADR-018-021

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(rvf): add CLI, WASM store, generate_all, and 46 output .rvf files

- Add rvf-cli crate (665 lines, 9 subcommands: create/ingest/query/delete/status/inspect/compact/derive/serve)
- Add WASM control plane store (alloc_setup, segment, store modules) for ~46 KB binary
- Add generate_all.rs example producing 46 persistent .rvf files in output/
- Add Node.js N-API bindings for lineage, kernel/eBPF, and inspection
- Add npm TypeScript backend/database/types for RVF integration
- Update READMEs with CLI sections, MCP server docs, and crate map (13 crates)
- All 40 examples verified passing

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(rvf): add Claude Code appliance, improve Quick Start, fix API docs

- Add claude_code_appliance.rs: self-booting RVF with SSH + Claude Code
  install (curl -fsSL https://claude.ai/install.sh | bash), 3 SSH users,
  eBPF filter, 20-package manifest, witness chain, lineage snapshot
- Improve Quick Start: Install section (crate/CLI/npm/WASM/MCP), WASM
  browser example, generate_all reference, expanded Rust crate deps
- Fix embed_kernel/embed_ebpf API docs to match actual signatures
  (u8 params with `as u8` cast, 6-param kernel, Option<&[u8]> btf)
- Update generate_all.rs: add claude_code_appliance generator (47 files)
- Regenerate all 47 output .rvf files

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(rvf): add RVCOW branching, real kernel/eBPF/launcher, 795 tests

Vector-native copy-on-write branching (ADR-031) with four new segment
types (COW_MAP 0x20, REFCOUNT 0x21, MEMBERSHIP 0x22, DELTA 0x23),
real Linux microkernel builder, QEMU microVM launcher, real eBPF
programs, and 128-byte KernelBinding for tamper-evident kernel-manifest
linkage.

New crates:
- rvf-kernel: Docker-based kernel build, real cpio/newc initramfs builder,
  SHA3-256 verification, prebuilt kernel support (37 tests)
- rvf-launch: QEMU microVM launcher with QMP shutdown, KVM/TCG detection,
  virtio-blk/net port forwarding, kernel extraction (8 tests)
- rvf-ebpf: 3 real BPF C programs (xdp_distance, socket_filter,
  tc_query_route) with clang compilation support (17 tests)

RVCOW runtime:
- CowEngine with read/write paths, write coalescing, snapshot-freeze
- CowMap (flat-array), MembershipFilter (bitmap), CowCompactor
- 3x read performance via pread optimization (1.3us/vector)
- Branch creation: 2.6ms for 10K vectors, child = 162 bytes

Security: 20-finding audit, 7 fixes applied including division-by-zero
guards, integer overflow checks, and KernelBinding::from_bytes_validated().

CLI: 8 new commands (launch, embed-kernel, embed-ebpf, filter, freeze,
verify-witness, verify-attestation, rebuild-refcounts), serve wired to
real rvf-server.

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(rvf): update README, add crate/npm READMEs, publish to crates.io and npm

- Rewrite README with cognitive container terminology, grouped features,
  4 comparison tables (vs Docker, Vector DBs, Git LFS, SQLite), updated
  benchmarks, architecture diagram, and 45 examples
- Add READMEs for rvf-kernel, rvf-launch, rvf-ebpf, rvf-import crates
- Add READMEs for @ruvector/rvf, rvf-node, rvf-wasm, rvf-mcp-server npm packages
- Fix Cargo.toml metadata (homepage, readme, categories, keywords) and
  add version specs to all path dependencies for crates.io publishing
- Fix clippy warnings in rvf-kernel/initramfs.rs and rvf-launch/lib.rs
- Published to crates.io: rvf-types, rvf-wire, rvf-manifest, rvf-quant,
  rvf-index, rvf-crypto (remaining crates pending rate limit)
- Published to npm: @ruvector/rvf, @ruvector/rvf-node, @ruvector/rvf-wasm,
  @ruvector/rvf-mcp-server

Co-Authored-By: claude-flow <ruv@ruv.net>

* chore: add rvf-kernel, rvf-ebpf, rvf-launch, rvf-server, rvf-import, rvf-cli to workspace

Include all 15 RVF crates plus integration tests and benchmarks in the
root workspace members list so cargo publish can resolve them by name.

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(rvf): add published packages, cognitive container branding, grouped capabilities

- Add Published Packages section with 13 crates.io + 4 npm tables
- Add Platform Support table (Linux, macOS, Windows, WASM, no_std)
- Expand capability table from 9 to 15 rows in 4 groups
- Rewrite all "How" descriptions in plain language
- Update .rvf diagram to show all 20 segment types
- Rename ADRs: computational container -> cognitive container
- Add emojis to all section headers

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat: update root README with RVF cognitive containers, expanded capabilities

- Update intro: "gets smarter + ships as cognitive container"
- Add self-booting microservice row to Pinecone comparison table
- Expand capabilities from 34 to 42 features with dedicated RVF section
- Update "Think of it as" to include Docker comparison and RVF explanation
- Add RVF collapsed group to Ecosystem (13 crates, 4 npm, install commands)
- Add RVF to Platform & Edge section with install commands
- Add RVF npm packages (4) and Rust crates (13) to package reference
- Add RVF rows to feature comparison table (6 new rows)
- Add ADR-030/031 to ADR list
- Add RVF to Installation table, Project Structure
- Update attention mechanisms count from 39 to 40+
- Update npm count to 49+, Rust crates to 83
- Update footer with crates.io and RVF links

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat: expand comparison table with emojis, cost, audit, branching, single-file

Co-Authored-By: claude-flow <ruv@ruv.net>

* docs: rewrite comparison table in plain language

Co-Authored-By: claude-flow <ruv@ruv.net>

* chore: clean up empty code change sections in the changes log

---------

Co-authored-by: Claude <noreply@anthropic.com>
 2026-02-14 13:14:49 -05:00
rUv
f8870b3c71 feat(rvf): RuVector Format — Universal Cognitive Container SDK (#166) 
* feat(rvf): add RuVector Format universal substrate specification

Research and design for RVF — a streaming, progressive, adaptive, quantum-secure
binary format for vector intelligence. Covers append-only segment model, two-level
tail manifests, temperature tiering, progressive HNSW indexing, epoch-based overlay
system, SIMD-optimized query paths, WASM microkernel for Cognitum tiles, domain
profiles (RVDNA, RVText, RVGraph, RVVision), and post-quantum cryptography.

https://claude.ai/code/session_01DDqjGE51JpsRE3DgUjFyjW

* feat(rvf): add deletion, filtered search, concurrency, and operations specs

Fill four specification gaps in the RVF format design:
- spec/07: Vector deletion lifecycle, JOURNAL_SEG wire format, deletion bitmaps
- spec/08: Filtered search with META_SEG, METAIDX_SEG, filter expression language
- spec/09: Writer locking, reader-writer coordination, versioning, space reclamation
- spec/10: Batch operations API, error codes, network streaming protocol

Also fixes the segment header field conflict between spec/01 and wire/binary-layout.md
(checksum_algo/compression now u8, adds uncompressed_len at 0x38).

https://claude.ai/code/session_01DDqjGE51JpsRE3DgUjFyjW

* feat(rvf): add RuVector Format SDK, 40 examples, MCP server, and documentation

Complete RVF implementation including:
- 12 Rust crates (rvf-types, rvf-wire, rvf-manifest, rvf-index, rvf-quant,
  rvf-crypto, rvf-runtime, rvf-import, rvf-wasm, rvf-node, rvf-server,
  plus integration tests)
- 40 runnable examples covering core storage, agentic AI, production
  patterns, vertical domains, exotic capabilities, runtime targets,
  network/security, POSIX/systems, and network operations
- TypeScript SDK (npm/packages/rvf) with RvfDatabase class
- MCP server (npm/packages/rvf-mcp-server) with stdio and SSE transports
- Node.js N-API bindings (npm/packages/rvf-node)
- WASM package (npm/packages/rvf-wasm)
- ADR-029 (canonical format), ADR-030 (computational container),
  ADR-031 (example repository)
- DNA-style lineage provenance, computational containers (KERNEL_SEG,
  EBPF_SEG), witness chains, TEE attestation, domain profiles
- Superseded ADR annotations for ADR-001, ADR-005, ADR-006, ADR-018-021

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(rvf): add CLI, WASM store, generate_all, and 46 output .rvf files

- Add rvf-cli crate (665 lines, 9 subcommands: create/ingest/query/delete/status/inspect/compact/derive/serve)
- Add WASM control plane store (alloc_setup, segment, store modules) for ~46 KB binary
- Add generate_all.rs example producing 46 persistent .rvf files in output/
- Add Node.js N-API bindings for lineage, kernel/eBPF, and inspection
- Add npm TypeScript backend/database/types for RVF integration
- Update READMEs with CLI sections, MCP server docs, and crate map (13 crates)
- All 40 examples verified passing

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(rvf): add Claude Code appliance, improve Quick Start, fix API docs

- Add claude_code_appliance.rs: self-booting RVF with SSH + Claude Code
  install (curl -fsSL https://claude.ai/install.sh | bash), 3 SSH users,
  eBPF filter, 20-package manifest, witness chain, lineage snapshot
- Improve Quick Start: Install section (crate/CLI/npm/WASM/MCP), WASM
  browser example, generate_all reference, expanded Rust crate deps
- Fix embed_kernel/embed_ebpf API docs to match actual signatures
  (u8 params with `as u8` cast, 6-param kernel, Option<&[u8]> btf)
- Update generate_all.rs: add claude_code_appliance generator (47 files)
- Regenerate all 47 output .rvf files

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(rvf): add RVCOW branching, real kernel/eBPF/launcher, 795 tests

Vector-native copy-on-write branching (ADR-031) with four new segment
types (COW_MAP 0x20, REFCOUNT 0x21, MEMBERSHIP 0x22, DELTA 0x23),
real Linux microkernel builder, QEMU microVM launcher, real eBPF
programs, and 128-byte KernelBinding for tamper-evident kernel-manifest
linkage.

New crates:
- rvf-kernel: Docker-based kernel build, real cpio/newc initramfs builder,
  SHA3-256 verification, prebuilt kernel support (37 tests)
- rvf-launch: QEMU microVM launcher with QMP shutdown, KVM/TCG detection,
  virtio-blk/net port forwarding, kernel extraction (8 tests)
- rvf-ebpf: 3 real BPF C programs (xdp_distance, socket_filter,
  tc_query_route) with clang compilation support (17 tests)

RVCOW runtime:
- CowEngine with read/write paths, write coalescing, snapshot-freeze
- CowMap (flat-array), MembershipFilter (bitmap), CowCompactor
- 3x read performance via pread optimization (1.3us/vector)
- Branch creation: 2.6ms for 10K vectors, child = 162 bytes

Security: 20-finding audit, 7 fixes applied including division-by-zero
guards, integer overflow checks, and KernelBinding::from_bytes_validated().

CLI: 8 new commands (launch, embed-kernel, embed-ebpf, filter, freeze,
verify-witness, verify-attestation, rebuild-refcounts), serve wired to
real rvf-server.

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(rvf): update README, add crate/npm READMEs, publish to crates.io and npm

- Rewrite README with cognitive container terminology, grouped features,
  4 comparison tables (vs Docker, Vector DBs, Git LFS, SQLite), updated
  benchmarks, architecture diagram, and 45 examples
- Add READMEs for rvf-kernel, rvf-launch, rvf-ebpf, rvf-import crates
- Add READMEs for @ruvector/rvf, rvf-node, rvf-wasm, rvf-mcp-server npm packages
- Fix Cargo.toml metadata (homepage, readme, categories, keywords) and
  add version specs to all path dependencies for crates.io publishing
- Fix clippy warnings in rvf-kernel/initramfs.rs and rvf-launch/lib.rs
- Published to crates.io: rvf-types, rvf-wire, rvf-manifest, rvf-quant,
  rvf-index, rvf-crypto (remaining crates pending rate limit)
- Published to npm: @ruvector/rvf, @ruvector/rvf-node, @ruvector/rvf-wasm,
  @ruvector/rvf-mcp-server

Co-Authored-By: claude-flow <ruv@ruv.net>

* chore: add rvf-kernel, rvf-ebpf, rvf-launch, rvf-server, rvf-import, rvf-cli to workspace

Include all 15 RVF crates plus integration tests and benchmarks in the
root workspace members list so cargo publish can resolve them by name.

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(rvf): add published packages, cognitive container branding, grouped capabilities

- Add Published Packages section with 13 crates.io + 4 npm tables
- Add Platform Support table (Linux, macOS, Windows, WASM, no_std)
- Expand capability table from 9 to 15 rows in 4 groups
- Rewrite all "How" descriptions in plain language
- Update .rvf diagram to show all 20 segment types
- Rename ADRs: computational container -> cognitive container
- Add emojis to all section headers

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat: update root README with RVF cognitive containers, expanded capabilities

- Update intro: "gets smarter + ships as cognitive container"
- Add self-booting microservice row to Pinecone comparison table
- Expand capabilities from 34 to 42 features with dedicated RVF section
- Update "Think of it as" to include Docker comparison and RVF explanation
- Add RVF collapsed group to Ecosystem (13 crates, 4 npm, install commands)
- Add RVF to Platform & Edge section with install commands
- Add RVF npm packages (4) and Rust crates (13) to package reference
- Add RVF rows to feature comparison table (6 new rows)
- Add ADR-030/031 to ADR list
- Add RVF to Installation table, Project Structure
- Update attention mechanisms count from 39 to 40+
- Update npm count to 49+, Rust crates to 83
- Update footer with crates.io and RVF links

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat: expand comparison table with emojis, cost, audit, branching, single-file

Co-Authored-By: claude-flow <ruv@ruv.net>

* docs: rewrite comparison table in plain language

Co-Authored-By: claude-flow <ruv@ruv.net>

* chore: clean up empty code change sections in the changes log

---------

Co-authored-by: Claude <noreply@anthropic.com>
 2026-02-14 13:14:49 -05:00