quantumclaw/clawhdf5

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osobhandClaude Opus 5.5 fc7ae6549a

CI / test-arm64 (pull_request) Successful in 1m19s

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CI / test (pull_request) Successful in 5m23s

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build: declare Rust 1.92 as the MSRV and check it in CI

rust-version = "1.92" in [workspace.package], inherited by every crate.
1.92 is the floor: wgpu (clawhdf5-gpu) requires it, and the whole
workspace, Python bindings included, checks cleanly on it. ci-test.sh
reads the version from Cargo.toml and checks the workspace on exactly
that toolchain, so the manifests and the README badge cannot drift from
what actually builds. The badge said 1.75, below edition 2024's own
floor.

Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>

2026-09-23 11:05:26 -05:00

benches

ci: lint all targets, run interop suites for real, compile benches

2026-09-19 05:36:22 -07:00

fuzz

test(agent): WAL property tests, crash-recovery matrix, WAL fuzz target

2026-09-19 06:43:34 -07:00

src

feat(agent): new stores use the int8 vector index by default

2026-09-21 18:27:59 -07:00

tests

feat(agent): new stores use the int8 vector index by default

2026-09-21 18:27:59 -07:00

Cargo.toml

build: declare Rust 1.92 as the MSRV and check it in CI

2026-09-23 11:05:26 -05:00

README.md

docs: fix stale package names, counts, and CLI subcommands

2026-06-03 11:17:04 +00:00

README.md

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