mirror of
https://github.com/ruvnet/RuVector.git
synced 2026-05-27 08:45:07 +00:00
3 commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
rUv
|
c88039734a |
feat(ruvix): implement CLI, kernel shell, and PBFT consensus (#261)
* feat(ruvix): implement ADR-087 RuVix Cognition Kernel Phase A Implements the complete Phase A (Linux-hosted) RuVix Cognition Kernel with 9 crates, 760 tests, and comprehensive documentation. ## Core Crates (9) - ruvix-types: 6 kernel primitives (Task, Capability, Region, Queue, Timer, Proof) - ruvix-cap: seL4-inspired capability management with derivation trees - ruvix-region: Memory regions (Immutable, AppendOnly, Slab policies) - ruvix-queue: io_uring-style lock-free IPC with zero-copy semantics - ruvix-proof: 3-tier proof engine (Reflex <100ns, Standard <100us, Deep <10ms) - ruvix-sched: Coherence-aware scheduler with priority computation - ruvix-boot: 5-stage RVF boot loader with ML-DSA-65 signatures - ruvix-vecgraph: Kernel-resident vector/graph stores with HNSW - ruvix-nucleus: Unified kernel entry point with 12 syscalls ## Security (SEC-001, SEC-002) - Boot signature failure: PANIC immediately, no fallback path - Proof cache: 100ms TTL, single-use nonces, max 64 entries - Capability delegation depth: max 8 levels with audit warnings ## Architecture - no_std compatible for Phase B bare metal port - Proof-gated mutation: every state change requires cryptographic proof - Capability-based access control: no syscall without valid capability - Zero-copy IPC via region descriptors (TOCTOU protected) ## Documentation - Main README with architecture diagrams - Individual crate READMEs with usage examples - Architecture decision records Co-Authored-By: claude-flow <ruv@ruv.net> * docs: update ADR-087 status and add RuVix to root README - Update ADR-087 status from Proposed to Accepted (Phase A Implemented) - Add implementation status table with all 9 crates and 760 tests - Document security invariants implemented (SEC-001 through SEC-004) - Add collapsed RuVix section to root README with architecture diagram Co-Authored-By: claude-flow <ruv@ruv.net> * chore: update ruvector-coherence dependency to 2.0.4 for crates.io publish Co-Authored-By: claude-flow <ruv@ruv.net> * feat(ruvix): implement ADR-087 Phase B bare metal AArch64 support Phase B adds bare metal AArch64 support for the RuVix Cognition Kernel: New crates: - ruvix-hal: Hardware Abstraction Layer traits (~500 lines) - Console, InterruptController, Timer, Mmu, PowerManagement traits - Platform-agnostic design for ARM64/RISC-V/x86_64 - 15 unit tests passing - ruvix-aarch64: AArch64 boot and MMU support (~2,000 lines) - _start assembly entry, exception vectors - 4-level page tables with capability metadata - System register accessors (SCTLR_EL1, TCR_EL1, TTBR0/1) - Implements ruvix_hal::Mmu trait - ruvix-drivers: Device drivers for QEMU virt (~1,500 lines) - PL011 UART driver (115200 8N1, FIFO, interrupts) - GIC-400 interrupt controller (256 IRQs, 16 priorities) - ARM Generic Timer (deadline scheduling) - Volatile MMIO with memory barriers (DMB, DSB, ISB) Build infrastructure: - aarch64-boot/ with linker script and custom Rust target - QEMU virt runner integration (Cortex-A72, 128MB RAM) - Makefile with build/run/debug targets ADR-087 updated with: - Phase B objectives and new crate specifications - QEMU virt memory map (128MB RAM at 0x40000000) - 5-stage boot sequence documentation - Security enhancements and testing strategy - Raspberry Pi 4/5 platform differences Co-Authored-By: claude-flow <ruv@ruv.net> * feat(ruvix): implement Phases C/D/E and QEMU swarm simulation This adds full bare metal OS capabilities to the RuVix Cognition Kernel: ## Phase C: Multi-Core & DMA Support - ruvix-smp: Symmetric multi-processing (256 cores, spinlocks, IPIs) - ruvix-dma: DMA controller with scatter-gather - ruvix-dtb: Device tree blob parser - ruvix-physmem: Buddy allocator for physical memory ## Phase D: Raspberry Pi 4/5 Support - ruvix-bcm2711: BCM2711/2712 SoC drivers (GPIO, mailbox, UART) - ruvix-rpi-boot: RPi boot support (spin table, early UART) ## Phase E: Networking & Filesystem - ruvix-net: Full network stack (Ethernet/ARP/IPv4/UDP/ICMP) - ruvix-fs: Filesystem layer (VFS, FAT32, RamFS) ## QEMU Swarm Simulation - qemu-swarm: Multi-QEMU cluster for distributed testing - Network topologies: mesh, ring, star, tree - Fault injection and chaos testing scenarios ## Summary - 10 new crates, ~27,000 lines of code - 400+ new tests passing - ADR-087 updated with Phases C/D/E documentation - Main README updated with all phases Co-Authored-By: claude-flow <ruv@ruv.net> * fix(ruvix): address critical security vulnerabilities CVE-001 through CVE-005 Security fixes applied from deep review audit: - CVE-001 (CRITICAL): Add compile-time protection preventing `disable-boot-verify` feature in release builds. This closes a boot signature bypass vulnerability. - CVE-002 (HIGH): Add MMIO address validation to GIC driver. `Gic::new()` now returns `Result<Self, GicError>` and validates addresses against known platform ranges. Added `new_unchecked()` for trusted callers. - CVE-003 (HIGH): Add integer overflow protection in DTB parser. All offset calculations now use `checked_add()` to prevent buffer overflow via crafted DTB files. - CVE-005 (HIGH): Add IPv4 header validation ensuring `total_length >= header_len` per RFC 791. Also includes test fixes: - Mark hardware-dependent tests as `#[ignore]` (MMIO, ARM timer) - Fix swap32 test assertion in rpi-boot - Update doctests for new GIC API All 259 tests pass across affected crates. Co-Authored-By: claude-flow <ruv@ruv.net> * feat(ruvix): implement CLI, kernel shell, and PBFT consensus Implements Phase F features for the RuVix Cognition Kernel: CLI (ruvix-cli): - build: Cross-compile kernel for AArch64 targets - config: Manage kernel configuration files - dtb: Device tree blob operations (validate, dump, compile, compare, search) - flash: UART/serial flash operations with progress reporting - keys: Ed25519 key management with secure storage - monitor: Real-time kernel metrics dashboard - security: Security audit and vulnerability scanning Kernel Shell (ruvix-shell): - Interactive command parser with history support - Commands: help, info, mem, tasks, caps, vectors, witness, proofs, queues, perf, cpu, trace, reboot - Configurable prompt with trace mode indication - Shell backend integration with nucleus kernel PBFT Consensus (qemu-swarm): - Full PBFT implementation (pre-prepare, prepare, commit phases) - View change protocol for leader recovery - Checkpoint mechanism for state synchronization - Custom serde wrappers for fixed-size byte arrays (Signature, HashDigest) - Byzantine fault tolerance (f < n/3) Additional: - Example RVF swarm consensus demo - Nucleus shell backend for kernel introspection - Fixed chrono DateTime type annotation in keys.rs Co-Authored-By: claude-flow <ruv@ruv.net> * chore(ruvix): add version specs for crates.io publishing - Add version = "0.1.0" to ruvix-dtb dependency in CLI - Add README.md for ruvix-shell crate Co-Authored-By: claude-flow <ruv@ruv.net> --------- Co-authored-by: Reuven <cohen@ruv-mac-mini.local> |
||
|
rUv
|
4b79444bf5 |
feat: proof-gated graph transformer with 8 verified modules
Add ruvector-graph-transformer crate with 8 feature-gated modules, each backed by an Architecture Decision Record (ADR-046 through ADR-055): - Proof-gated mutation: ProofGate<T>, MutationLedger, ProofScope, EpochBoundary - Sublinear attention: O(n log n) via LSH buckets, PPR sampling, spectral sparsification - Physics-informed: Hamiltonian dynamics, gauge equivariant MP, Lagrangian attention - Biological: Spiking networks, Hebbian/STDP learning, dendritic branching - Self-organizing: Morphogenetic fields, developmental programs, graph coarsening - Verified training: Certificates, delta-apply rollback, fail-closed invariants - Manifold: Product manifolds S^n x H^m x R^k, Riemannian Adam, Lie groups - Temporal-causal: Causal masking, Granger causality, continuous-time ODE - Economic: Nash equilibrium attention, Shapley attribution, incentive-aligned MPNN Includes: - 186 tests (163 unit + 23 integration), all passing - WASM bindings (ruvector-graph-transformer-wasm) - published to crates.io - Node.js NAPI-RS bindings (@ruvector/graph-transformer) - published to npm - CI workflow for cross-platform binary builds (7 platforms) - 10 ADRs (046-055) + 22 research documents - Fix for #195: add commit-binaries job to build-gnn.yml - Updated root README with graph transformer section Published: - crates.io: ruvector-graph-transformer v2.0.4 - crates.io: ruvector-graph-transformer-wasm v2.0.4 - npm: @ruvector/graph-transformer v2.0.4 - npm: @ruvector/graph-transformer-linux-x64-gnu v2.0.4 Co-Authored-By: claude-flow <ruv@ruv.net> |
||
|
rUv
|
4d5d3bb092 |
feat(micro-hnsw-wasm): Add Neuromorphic HNSW v2.3 with SNN Integration (#40)
* docs: Add comprehensive GNN v2 implementation plans Add 22 detailed planning documents for 19 advanced GNN features: Tier 1 (Immediate - 3-6 months): - GNN-Guided HNSW Routing (+25% QPS) - Incremental Graph Learning/ATLAS (10-100x faster updates) - Neuro-Symbolic Query Execution (hybrid neural + logical) Tier 2 (Medium-Term - 6-12 months): - Hyperbolic Embeddings (Poincaré ball model) - Degree-Aware Adaptive Precision (2-4x memory reduction) - Continuous-Time Dynamic GNN (concept drift detection) Tier 3 (Research - 12+ months): - Graph Condensation (10-100x smaller graphs) - Native Sparse Attention (8-15x GPU speedup) - Quantum-Inspired Attention (long-range dependencies) Novel Innovations (10 experimental features): - Gravitational Embedding Fields, Causal Attention Networks - Topology-Aware Gradient Routing, Embedding Crystallization - Semantic Holography, Entangled Subspace Attention - Predictive Prefetch Attention, Morphological Attention - Adversarial Robustness Layer, Consensus Attention Includes comprehensive regression prevention strategy with: - Feature flag system for safe rollout - Performance baseline (186 tests + 6 search_v2 tests) - Automated rollback mechanisms Related to #38 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(micro-hnsw-wasm): Add neuromorphic HNSW v2.3 with SNN integration ## New Crate: micro-hnsw-wasm v2.3.0 - Published to crates.io: https://crates.io/crates/micro-hnsw-wasm - 11.8KB WASM binary with 58 exported functions - Neuromorphic vector search combining HNSW + Spiking Neural Networks ### Core Features - HNSW graph-based approximate nearest neighbor search - Multi-distance metrics: L2, Cosine, Dot product - GNN extensions: typed nodes, edge weights, neighbor aggregation - Multi-core sharding: 256 cores × 32 vectors = 8K total ### Spiking Neural Network (SNN) - LIF (Leaky Integrate-and-Fire) neurons with membrane dynamics - STDP (Spike-Timing Dependent Plasticity) learning - Spike propagation through graph topology - HNSW→SNN bridge for similarity-driven neural activation ### Novel Neuromorphic Features (v2.3) - Spike-Timing Vector Encoding (rate-to-time conversion) - Homeostatic Plasticity (self-stabilizing thresholds) - Oscillatory Resonance (40Hz gamma synchronization) - Winner-Take-All Circuits (competitive selection) - Dendritic Computation (nonlinear branch integration) - Temporal Pattern Recognition (spike history matching) - Combined Neuromorphic Search pipeline ### Performance Optimizations - 5.5x faster SNN tick (2,726ns → 499ns) - 18% faster STDP learning - Pre-computed reciprocal constants - Division elimination in hot paths ### Documentation & Organization - Reorganized docs into subdirectories (gnn/, implementation/, publishing/, status/) - Added comprehensive README with badges, SEO, citations - Added benchmark.js and test_wasm.js test suites - Added DEEP_REVIEW.md with performance analysis - Added Verilog RTL for ASIC synthesis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com> |