osobhandClaude Fable 5.1
4f2975d7e3
Eight MemoryConfig fields (float16, compression, compression_level, compact_threshold, hebbian_boost, decay_factor, wal_enabled, wal_max_entries) were never written to /meta, so reopening a store silently reset them to defaults — a compressed store was rewritten uncompressed by the first checkpoint after a reopen, and wal_enabled=false flipped back to true. They are now stored as /meta attributes; each is optional on load so older files keep opening with the previous defaults, and non-finite floats are ignored. Writing the round-trip test exposed that `compression = true` never worked in a default build: the embeddings dataset called with_zstd() unconditionally but the agent crate never enabled the zstd feature, so every checkpoint failed with "unsupported filter: 32015". The default build now compresses with deflate (always available, pure Rust path); Zstd is opt-in via a new `zstd` agent feature. 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