Files

T

osobhandClaude Opus 5.5 4ecac65f22 chore(agent)!: remove the no-op agent feature

It enabled nothing — the agent layer is always built — yet the README,
QUICKSTART and USE_CASES told people to pass it. Removed, with those
snippets fixed: they now depend on the git repository (nothing is on
crates.io, so `version = "2.0"` never resolved) and USE_CASES no longer
presents the `float16` feature as half-precision storage (that is
MemoryConfig::float16, on by default for new stores).

Breaking for anyone passing `features = ["agent"]`: drop it.

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

2026-09-25 09:53:53 -05:00

benches

bench: re-run every stale BENCHMARKS.md section, dated and traced

2026-09-24 23:45:15 -05:00

fuzz

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

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

src

perf(agent): cheaper novelty scoring; complete the consolidation benchmark

2026-09-25 08:51:08 -05:00

tests

feat(agent): new stores default to float16 embeddings

2026-09-24 19:39:33 -05:00

Cargo.toml

chore(agent)!: remove the no-op agent feature

2026-09-25 09:53:53 -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