osobhandClaude Fable 5.1
3ed0489faa
test_hebbian_activation_boost failed intermittently. Root causes, all in the query path: - normalize_scores mapped a set of identical scores — including the single-candidate case — to 0.0, so a lone perfect match contributed nothing to the fused score. Identical positive scores now normalise to 1.0 (all equally the best match); identical non-positive scores stay 0.0. - merge_vector_keyword sorted a HashMap's entries by score alone and then truncated, so which ties survived varied from run to run; hybrid_search had the same problem in its final sort. Both now break ties by index. - hybrid_search applied the Hebbian boost to every returned record, including the zero-score filler that pads the list when fewer than k records match. With random tie-breaking a filler record could collect as many boosts as the real hit. Only records with a positive fused score are reinforced now. 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