Files
clawhdf5/crates/clawhdf5-agent
osobhandClaude Fable 5.1 bbe1baa208 ci: lint all targets, run interop suites for real, compile benches
- clippy --all-targets plus a clawhdf5-format feature matrix (parallel, lz4,
  zstd, pcodec, fast-checksum); fix the accumulated lint backlog in test,
  bench and feature-gated code (no behaviour changes).
- Install python3 + h5py/numpy/netCDF4/xarray in the CI container and set
  CLAWHDF5_REQUIRE_INTEROP=1, which makes a missing interop dependency a test
  failure. Every h5py/netCDF4 interop test used to skip silently in CI. Run
  the #[ignore]d writer_h5py_tests suite explicitly.
- cargo bench --no-run so benches can't rot; fix bench.rs and memory_bench.rs,
  which no longer compiled against the current strategy/consolidation APIs.
- Optional fuzz smoke run via CLAWHDF5_FUZZ_SECONDS.
- CHANGELOG and docs/known-issues.md updated.

Co-Authored-By: Claude Fable 5.1 <[email protected]>
2026-09-19 05:36:22 -07:00
..

clawhdf5-agent

crates.io docs.rs

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