clawhdf5-migrate wrote a layout of its own (/chunks, /sessions, /entities, /relations, root attributes, no /meta or schema_version) that HDF5Memory::open rejects, so a "migrated" SQLite database could not be used as agent memory — contrary to the README. It now writes through the agent's own API (HDF5Memory::create/open, save_batch, the session cache and the knowledge graph), so there is no second copy of the schema: - sessions and entities/relations carry over; deleted rows become deleted records (or are left out with --skip-deleted); - embeddings follow the library default (float16), --f32 opts out and --float16 is a hidden no-op, as in clawhdf5-cli; the `half`-based conversion is gone; - every source row is checked before the output is created: a wrong embedding length, an empty embedding, a dimension that differs from an existing store's, or a float16 value beyond +-65504 is an error naming the chunk id, and an existing store is left untouched; - --incremental opens the existing store, adds only rows it does not hold (matched by content) and follows the source's deleted flags; - a source with no memory rows needs --embedding-dim; - validation reads the result back with HDF5Memory::open_read_only, compares every field (embeddings bit for bit, round_to_f16 of the source for float16) and checks a migrated record is found by search. clawhdf5-agent gains HDF5Memory::sessions()/sessions_mut(), HDF5Memory::delete_batch (one save, all-or-nothing, no auto-compact), SessionCache::add_at, and re-exports SessionCache/SessionEntry. The old layout's per-dataset SHA-256 provenance attributes have no place in the agent schema and are gone. An adversarial review found two blockers (silent truncation of long embeddings; an --incremental dimension check that could never fire) and four majors (a failed run wiping the existing store, dim-0 stores, deleted-flag drift); all are fixed with regression tests. 42 migrate tests, incl. h5py opening a migrated store. Co-Authored-By: Claude Opus 5.5 (1M context) <[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