Files
clawhdf5/crates/clawhdf5-agent
osobhandClaude Opus 5.5 0c65a27b00
CI / test-arm64 (pull_request) Successful in 1m3s
CI / test (pull_request) Successful in 5m48s
docs: withdraw the OpenClaw integration claims
The docs described a "drop-in" OpenClaw memory backend enabled with
`memory.backend = "clawhdf5"`. Checked against OpenClaw's source and
docs (v2026.2.26 through v2026.9.6): that config was never valid —
v2026.2-v2026.7 accepted only "builtin"/"qmd" and rejected unknown
keys, so a Gateway given it refuses to start, and v2026.8.1 (OpenClaw
2.0) removed the key. No plugin was ever built (no manifest, no
registration, no tools), nothing was tested against OpenClaw, the
linked github.com/redclawsystems/openclaw is a 404, and
@redclaw/clawhdf5 was never published.

Decision (2026-09-25): not pursuing an OpenClaw plugin for now; ZeroClaw
is the integration target.

- Remove openclaw-integration.md, openclaw-config.md and
  migration-guide.md; add docs/openclaw.md: the status, what a memory
  plugin needs against v2026.9.6 (plugins.slots.memory, manifest with
  kind "memory", registerMemoryCapability / MemorySearchManager,
  prebuilt native packages), and what this repo has as building blocks.
- README, QUICKSTART, USE_CASES, ROADMAP (Track 7 withdrawn), CLAUDE.md
  and the `openclaw` module docs describe ClawhdfBackend as what it is:
  a Markdown-oriented library backend, not an OpenClaw plugin. The
  QUICKSTART example is corrected (the old one called a three-argument
  create that does not exist) and states its limits.
- packages/clawhdf5-node: marked unpublished and broken, "private": true
  so it cannot be published by accident; its bugs (snake_case vs
  camelCase fields, wrong addon path, no way to store an embedding,
  wrong WAL name) are recorded in docs/known-issues.md.
- Two broken rustdoc links fixed along the way.

Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
2026-09-25 10:27:54 -05:00
..

clawhdf5-agent

crates.io docs.rs

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