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|[ruvllm-cli](./crates/ruvllm-cli)| CLI for model inference and benchmarking |[](https://crates.io/crates/ruvllm-cli)|
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|[ruvllm-wasm](./crates/ruvllm-wasm)| WASM bindings for browser LLM inference |[](https://crates.io/crates/ruvllm-wasm)|
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**Features:** Candle backend, Metal/CUDA acceleration, Apple Neural Engine, GGUF support, SONA learning integration.
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**Features:** Candle backend, Metal/CUDA acceleration, Apple Neural Engine, GGUF support, SONA learning, **BitNet 1.58-bit quantization** (TL1 kernels, AVX2/WASM).
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```bash
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cargo add ruvllm --features inference-metal # Mac with Metal
@@ -1335,6 +1335,42 @@ let scores = selector.select_and_apply(SelectionPolicy::Adaptive, &dag)?;
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See [ruvector-dag README](./crates/ruvector-dag/README.md) for full documentation.
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### Temporal Tensor Store
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| Crate | Description | crates.io |
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|-------|-------------|-----------|
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|[ruvector-temporal-tensor](./crates/ruvector-temporal-tensor)| Time-series tensor storage with tiered quantization |[](https://crates.io/crates/ruvector-temporal-tensor)|
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|[ruvector-temporal-tensor-wasm](./crates/ruvector-temporal-tensor-wasm)| WASM bindings for browser temporal tensors |[](https://crates.io/crates/ruvector-temporal-tensor-wasm)|
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**High-performance temporal embedding storage** optimized for AI agent memory systems:
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| Feature | Description |
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|---------|-------------|
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|**Block-Based Storage**| 4KB aligned blocks with SIMD-optimized I/O ([ADR-018](./docs/adr/temporal-tensor-store/ADR-018-block-based-storage-engine.md)) |
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|**Tiered Quantization**| F32 → F16 → INT8 → INT4 with <1% accuracy loss ([ADR-019](./docs/adr/temporal-tensor-store/ADR-019-tiered-quantization-formats.md)) |
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|**Temporal Scoring**| Access frequency + recency decay for automatic tier migration ([ADR-020](./docs/adr/temporal-tensor-store/ADR-020-temporal-scoring-tier-migration.md)) |
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|**Delta Compression**| 60-80% storage reduction via temporal differencing ([ADR-021](./docs/adr/temporal-tensor-store/ADR-021-delta-compression-reconstruction.md)) |
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|**Cross-Platform WASM**| Unified API for browser, Node.js, and edge ([ADR-022](./docs/adr/temporal-tensor-store/ADR-022-wasm-api-cross-platform.md)) |
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|**AgentDB Integration**| Native coherence scoring and memory persistence |
See [Domain-Driven Design](./docs/architecture/temporal-tensor-store-ddd.md) for architecture details.
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### CRV Signal Line Protocol
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| Crate | Description | crates.io |
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|-------|-------------|-----------|
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|[ruvector-crv](./crates/ruvector-crv)| 6-stage CRV signal line methodology for vector search |[](https://crates.io/crates/ruvector-crv)|
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**Maps CRV stages to ruvector subsystems:**
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- Stage I (Ideograms) → Poincaré ball hyperbolic embeddings
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- Stage II (Sensory) → Multi-head attention vectors
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