vestige/crates/vestige-core/Cargo.toml

[package]
name = "vestige-core"
version = "2.0.6"
edition = "2024"
rust-version = "1.91"
authors = ["Vestige Team"]
description = "Cognitive memory engine - FSRS-6 spaced repetition, semantic embeddings, and temporal memory"
license = "AGPL-3.0-only"
repository = "https://github.com/samvallad33/vestige"
keywords = ["memory", "spaced-repetition", "fsrs", "embeddings", "knowledge-graph"]
categories = ["science", "database"]

[features]
default = ["embeddings", "vector-search", "bundled-sqlite"]

# SQLite backend (default, unencrypted)
bundled-sqlite = ["rusqlite/bundled"]

# Encrypted SQLite via SQLCipher (mutually exclusive with bundled-sqlite)
# Use: --no-default-features --features encryption,embeddings,vector-search
# Set VESTIGE_ENCRYPTION_KEY env var to enable encryption
encryption = ["rusqlite/bundled-sqlcipher"]

# Core embeddings with fastembed (ONNX-based, local inference)
# Downloads a pre-built ONNX Runtime binary at build time (requires glibc >= 2.38)
embeddings = ["dep:fastembed", "fastembed/ort-download-binaries-native-tls"]

# HNSW vector search with USearch (20x faster than FAISS)
vector-search = ["dep:usearch"]

# Use runtime-loaded ORT instead of the downloaded pre-built binary.
# Required on systems with glibc < 2.38 (Ubuntu 22.04, Debian 12, RHEL/Rocky 9).
# Mutually exclusive with the default `embeddings` feature's download strategy.
# Usage: --no-default-features --features ort-dynamic,vector-search,bundled-sqlite
# Runtime requirement: libonnxruntime.so must be on LD_LIBRARY_PATH or ORT_DYLIB_PATH set.
ort-dynamic = ["dep:fastembed", "fastembed/ort-load-dynamic", "fastembed/hf-hub-native-tls", "fastembed/image-models"]

# Nomic Embed Text v2 MoE (475M params, 305M active, Candle backend)
# Requires: fastembed with nomic-v2-moe feature
nomic-v2 = ["embeddings", "fastembed/nomic-v2-moe"]

# Qwen3 Reranker (Candle backend, high-precision cross-encoder)
qwen3-reranker = ["embeddings", "fastembed/qwen3"]

# Metal GPU acceleration on Apple Silicon (significantly faster inference)
metal = ["fastembed/metal"]


[dependencies]
# Serialization
serde = { version = "1", features = ["derive"] }
serde_json = "1"

# Date/Time with full timezone support
chrono = { version = "0.4", features = ["serde"] }

# UUID v4 generation
uuid = { version = "1", features = ["v4", "serde"] }

# Error handling
thiserror = "2"

# Database - SQLite with FTS5 full-text search and JSON
# Note: "bundled" or "bundled-sqlcipher" added via feature flags above
rusqlite = { version = "0.38", features = ["chrono", "serde_json"] }

# Platform-specific directories
directories = "6"

# Async runtime (required for codebase module)
tokio = { version = "1", features = ["sync", "rt-multi-thread", "macros"] }

# Tracing for structured logging
tracing = "0.1"

# Git integration for codebase memory
# vendored-openssl: Compile OpenSSL from source for cross-compilation support
git2 = { version = "0.20", features = ["vendored-openssl"] }

# File watching for codebase memory
notify = "8"

# ============================================================================
# OPTIONAL: Embeddings (fastembed v5 - local ONNX inference, 2026 bleeding edge)
# ============================================================================
# nomic-embed-text-v1.5: 768 dimensions, 8192 token context, Matryoshka support
# v5.11: Adds Nomic v2 MoE (nomic-v2-moe feature) + Qwen3 reranker (qwen3 feature)
fastembed = { version = "5.11", default-features = false, features = ["hf-hub-native-tls", "image-models"], optional = true }

# ============================================================================
# OPTIONAL: Vector Search (USearch - HNSW, 20x faster than FAISS)
# ============================================================================
# Pinned to 2.23.0 — 2.24.0 introduced a Windows MSVC compile break because
# its memory_mapping_allocator_gt template references the POSIX MAP_FAILED
# macro from <sys/mman.h>, which doesn't exist on MSVC. Tracked upstream in
# unum-cloud/usearch#746. Unpin when the upstream fix lands.
usearch = { version = "=2.23.0", optional = true }

# LRU cache for query embeddings
lru = "0.16"

[dev-dependencies]
tempfile = "3"
criterion = { version = "0.5", features = ["html_reports"] }

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

[lib]
name = "vestige_core"
path = "src/lib.rs"

# Enable doctests
doctest = true

[package.metadata.docs.rs]
all-features = true
rustdoc-args = ["--cfg", "docsrs"]