[package]
name = "clawhdf5-agent"
version = "2.4.0"
edition = "2024"
description = "HDF5-backed persistent memory store for on-device AI agents"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
readme = "README.md"
keywords = ["agent", "memory", "hdf5", "vector-search", "embedding"]
categories = ["database", "science", "algorithms"]

[dependencies]
clawhdf5-format = { path = "../clawhdf5-format", version = "2.4.0", features = ["parallel", "fast-checksum"] }
clawhdf5 = { path = "../clawhdf5", version = "2.4.0" }
clawhdf5-io = { path = "../clawhdf5-io", version = "2.4.0", features = ["mmap"] }
clawhdf5-accel = { path = "../clawhdf5-accel", version = "2.4.0" }
clawhdf5-ann = { path = "../clawhdf5-ann", version = "2.4.0", optional = true }
clawhdf5-gpu = { path = "../clawhdf5-gpu", version = "2.4.0", optional = true, default-features = false }
serde = { workspace = true }
byteorder = "1"
half = { workspace = true, optional = true }
rayon = { version = "1", optional = true }
matrixmultiply = { version = "0.3", optional = true }
cblas-sys = { version = "0.1", optional = true }
tokio = { version = "1", features = ["rt", "sync", "macros", "time"], optional = true }

[target.'cfg(target_os = "macos")'.dependencies]
accelerate-src = { version = "0.3", optional = true }

[target.'cfg(not(target_os = "macos"))'.dependencies]
openblas-src = { version = "0.10", optional = true, features = ["cblas"] }

[dev-dependencies]
tempfile = { workspace = true }
criterion = { workspace = true }
rayon = "1"
tokio = { version = "1", features = ["rt-multi-thread", "sync", "macros"] }

[[bench]]
name = "bench"
harness = false

[[bench]]
name = "memory_bench"
harness = false

[features]
default = ["float16", "hnsw", "parallel"]
float16 = ["half"]
# Rayon-parallel brute-force search strategies, and a parallel bulk build of
# the HNSW index (same graph, several times faster on a multi-core machine).
parallel = ["rayon", "clawhdf5-ann?/parallel"]
# Compress embeddings with Zstd instead of deflate when
# `MemoryConfig::compression` is on. Off by default: it links libzstd (C).
zstd = ["clawhdf5/zstd"]
# HNSW approximate-nearest-neighbour acceleration for the vector stage of
# hybrid_search. On by default; the index is rebuilt from the cache on demand
# and stays self-consistent with the persisted memory store. Disable with
# `--no-default-features` (plus re-enabling other defaults) to force the exact
# linear cosine scan.
hnsw = ["clawhdf5-ann"]
agent = []
gpu = ["clawhdf5-gpu/gpu-wgpu"]
fast-math = ["matrixmultiply"]
accelerate = ["accelerate-src", "cblas-sys"]
openblas = ["openblas-src", "cblas-sys"]
async = ["tokio"]