Traversal recursed one frame per level with the depth taken from the file (a u16), and followed child addresses without asking whether they were shared. Two crafted inputs, both reproduced before fixing: - A node listing itself as its own child, under a header claiming 65 535 levels, overflowed the stack and aborted the process — SIGABRT, not an error a caller can handle — from under 100 bytes. - Levels whose children all point at one shared node below reached it fan-out^depth times: 29.5 million records in 8 s from ~5 KB, and one more level would exhaust memory. Depth is now capped at 64, as the fractal heap already was; no real tree approaches it, since even at the minimum fan-out of two that is over 2^64 records. And traversal stops once it has produced more records than the file has bytes to hold them — a valid tree stores each record once in its own bytes, so this bounds shared subtrees without trusting the header's own `total_records`. Both inputs now fail in under a millisecond. Every B-tree v2 user goes through this collector: dense attributes, v2 groups, shared messages and chunk indexes. To show the budget never refuses a real file, a new interop test has HDF5 2.0 write a depth-2 chunk index with 40 000 records and reads back all 160 000 values; it fails when the budget is deliberately made too tight. Also corrects `BM25Index::search`, which claimed to use Block-Max WAND. It scores exhaustively, and pruning would not help the store: `hybrid_search` needs every score because fusion normalises over them. Co-Authored-By: Claude Opus 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