osobhandClaude Fable 5.1
f507803ec1
`parallel` joins the agent's default features, so the HNSW bulk build uses the thread pool: cold index build at 10K records 1152 -> ~380 ms in a same-moment A/B (the graph is identical either way). Nothing else on the measured paths changes — ingest, checkpoint, open and steady-state query times are the same with the feature on or off. Adds rayon to the default dependency set; opt out with `--no-default-features --features float16,hnsw`. Harness: `--e2e-only` runs the end-to-end section without the index benchmarks. Note for anyone comparing numbers: this machine's absolute timings drifted ~1.5x over a long session, so only same-moment A/B runs are comparable. Co-Authored-By: Claude Fable 5.1 <[email protected]>
clawhdf5-agent
HDF5-backed persistent memory store for on-device AI agents.
Built on clawhdf5, clawhdf5-agent provides a vector-searchable memory backend optimized for edge AI workloads. Store embeddings, text chunks, and metadata in a single HDF5 file with SIMD-accelerated similarity search.
Features
- Persistent vector store in HDF5 format
- Cosine similarity and L2 distance search
- SIMD-accelerated via clawhdf5-accel (AVX2, NEON)
- Optional GPU acceleration via clawhdf5-gpu
- Memory-mapped access for large stores
- f16 storage support for compact embeddings
Usage
[dependencies]
clawhdf5-agent = "2.1.0"
License
MIT