mirror of
https://github.com/ruvnet/RuVector.git
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46cac04781
Implements a five-layer bio-inspired nervous system for RuVector with: ## Core Layers - Event Sensing: DVS-style event bus with lock-free queues, sharding, backpressure - Reflex: K-Winner-Take-All competition, dendritic coincidence detection - Memory: Modern Hopfield networks, hyperdimensional computing (HDC) - Learning: BTSP one-shot, E-prop online learning, EWC consolidation - Coherence: Oscillatory routing, predictive coding, global workspace ## Key Components (22,961 lines) - HDC: 10,000-bit hypervectors with XOR binding, Hamming similarity - Hopfield: Exponential capacity 2^(d/2), transformer-equivalent attention - WTA/K-WTA: <1μs winner selection for 1000 neurons - Pattern Separation: Dentate gyrus-inspired sparse encoding (2-5% sparsity) - Dendrite: NMDA coincidence detection, plateau potentials - BTSP: Seconds-scale eligibility traces for one-shot learning - E-prop: O(1) memory per synapse, 1000+ms credit assignment - EWC: Fisher information diagonal for forgetting prevention - Routing: Kuramoto oscillators, 90-99% bandwidth reduction - Workspace: 4-7 item capacity per Miller's law ## Performance Targets - Reflex latency: <100μs (Cognitum tiles) - Hopfield retrieval: <1ms - HDC similarity: <100ns via SIMD popcount - Event throughput: 10,000+ events/ms ## Deployment Mapping - Phase 1: RuVector foundation (HDC + Hopfield) - Phase 2: Cognitum reflex tier - Phase 3: Online learning + coherence routing ## Test Coverage - 313 tests passing - Comprehensive benchmarks (latency, memory, throughput) - Quality metrics (recall, capacity, collision rate) References: iniVation DVS, Dendrify, Modern Hopfield (Ramsauer 2020), BTSP (Bittner 2017), E-prop (Bellec 2020), EWC (Kirkpatrick 2017), Communication Through Coherence (Fries 2015), Global Workspace (Baars)
139 lines
3.4 KiB
TOML
139 lines
3.4 KiB
TOML
[workspace]
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exclude = ["crates/micro-hnsw-wasm", "examples/ruvLLM/esp32", "examples/ruvLLM/esp32-flash"]
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members = [
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"crates/ruvector-core",
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"crates/ruvector-node",
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"crates/ruvector-wasm",
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"crates/ruvector-cli",
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"crates/ruvector-bench",
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"crates/ruvector-metrics",
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"crates/ruvector-filter",
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"crates/ruvector-router-core",
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"crates/ruvector-router-cli",
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"crates/ruvector-router-ffi",
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"crates/ruvector-router-wasm",
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"crates/ruvector-server",
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"crates/ruvector-snapshot",
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"crates/ruvector-tiny-dancer-core",
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"crates/ruvector-tiny-dancer-wasm",
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"crates/ruvector-tiny-dancer-node",
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"crates/ruvector-collections",
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"crates/ruvector-cluster",
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"crates/ruvector-raft",
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"crates/ruvector-replication",
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"crates/ruvector-graph",
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"crates/ruvector-graph-node",
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"crates/ruvector-graph-wasm",
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"crates/ruvector-gnn",
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"crates/ruvector-gnn-node",
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"crates/ruvector-gnn-wasm",
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"crates/ruvector-attention",
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"crates/ruvector-attention-wasm",
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"crates/ruvector-attention-node",
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"crates/ruvector-mincut",
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"crates/ruvector-mincut-wasm",
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"crates/ruvector-mincut-node",
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"crates/ruvector-mincut-gated-transformer",
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"crates/ruvector-mincut-gated-transformer-wasm",
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"crates/ruvector-postgres",
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"crates/ruvector-nervous-system",
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"examples/refrag-pipeline",
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"examples/scipix",
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"examples/google-cloud",
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"examples/ruvLLM",
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"examples/subpolynomial-time",
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"crates/sona",
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"crates/rvlite",
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"crates/ruvector-nervous-system",
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]
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resolver = "2"
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[workspace.package]
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version = "0.1.29"
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edition = "2021"
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rust-version = "1.77"
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license = "MIT"
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authors = ["Ruvector Team"]
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repository = "https://github.com/ruvnet/ruvector"
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[workspace.dependencies]
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# Core functionality
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redb = "2.1"
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memmap2 = "0.9"
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hnsw_rs = "0.3"
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simsimd = "5.9"
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rayon = "1.10"
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crossbeam = "0.8"
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# Serialization
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rkyv = "0.8"
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bincode = { version = "2.0.0-rc.3", features = ["serde"] }
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serde = { version = "1.0", features = ["derive"] }
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serde_json = "1.0"
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# Node.js bindings
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napi = { version = "2.16", default-features = false, features = ["napi9", "async", "tokio_rt"] }
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napi-derive = "2.16"
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# WASM
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wasm-bindgen = "0.2"
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wasm-bindgen-futures = "0.4"
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js-sys = "0.3"
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web-sys = { version = "0.3", features = ["Worker", "MessagePort", "console"] }
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getrandom = { version = "0.3", features = ["wasm_js"] }
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# Async runtime
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tokio = { version = "1.41", features = ["rt-multi-thread", "sync", "macros"] }
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futures = "0.3"
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# Error handling and utilities
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thiserror = "2.0"
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anyhow = "1.0"
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tracing = "0.1"
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tracing-subscriber = { version = "0.3", features = ["env-filter"] }
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# Math and numerics
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ndarray = "0.16"
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rand = "0.8"
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rand_distr = "0.4"
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# Time and UUID
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chrono = "0.4"
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uuid = { version = "1.11", features = ["v4", "serde", "js"] }
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# CLI
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clap = { version = "4.5", features = ["derive", "cargo"] }
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indicatif = "0.17"
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console = "0.15"
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# Testing and benchmarking
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criterion = { version = "0.5", features = ["html_reports"] }
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proptest = "1.5"
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mockall = "0.13"
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# Performance
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dashmap = "6.1"
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parking_lot = "0.12"
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once_cell = "1.20"
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[profile.release]
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opt-level = 3
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lto = "fat"
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codegen-units = 1
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strip = true
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panic = "abort"
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[profile.bench]
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inherits = "release"
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debug = true
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[profile.dev]
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opt-level = 0
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debug = true
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[profile.test]
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# Patch hnsw_rs to use rand 0.8 instead of 0.9 for WASM compatibility
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# This resolves the getrandom version conflict (0.2 vs 0.3)
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[patch.crates-io]
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hnsw_rs = { path = "./patches/hnsw_rs" }
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