mirror of
https://github.com/samvallad33/vestige.git
synced 2026-04-25 00:36:22 +02:00
87 lines
2.4 KiB
TOML
87 lines
2.4 KiB
TOML
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[package]
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name = "vestige-core"
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version = "1.0.0"
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edition = "2021"
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rust-version = "1.75"
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authors = ["Vestige Team"]
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description = "Cognitive memory engine - FSRS-6 spaced repetition, semantic embeddings, and temporal memory"
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license = "MIT OR Apache-2.0"
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repository = "https://github.com/samvallad33/vestige"
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keywords = ["memory", "spaced-repetition", "fsrs", "embeddings", "knowledge-graph"]
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categories = ["science", "database"]
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[features]
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default = ["embeddings", "vector-search"]
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# Core embeddings with fastembed (ONNX-based, local inference)
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embeddings = ["dep:fastembed"]
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# HNSW vector search with USearch (20x faster than FAISS)
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vector-search = ["dep:usearch"]
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# Full feature set including MCP protocol support
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full = ["embeddings", "vector-search"]
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# MCP (Model Context Protocol) support for Claude integration
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mcp = []
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[dependencies]
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# Serialization
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serde = { version = "1", features = ["derive"] }
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serde_json = "1"
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# Date/Time with full timezone support
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chrono = { version = "0.4", features = ["serde"] }
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# UUID v4 generation
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uuid = { version = "1", features = ["v4", "serde"] }
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# Error handling
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thiserror = "2"
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# Database - SQLite with FTS5 full-text search and JSON
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rusqlite = { version = "0.38", features = ["bundled", "chrono", "serde_json"] }
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# Platform-specific directories
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directories = "6"
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# Async runtime (required for codebase module)
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tokio = { version = "1", features = ["sync", "rt-multi-thread", "macros"] }
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# Tracing for structured logging
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tracing = "0.1"
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# Git integration for codebase memory
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git2 = "0.20"
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# File watching for codebase memory
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notify = "8"
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# ============================================================================
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# OPTIONAL: Embeddings (fastembed v5 - local ONNX inference, 2026 bleeding edge)
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# ============================================================================
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# BGE-base-en-v1.5: 768 dimensions, 85%+ Top-5 accuracy (vs 56% for MiniLM)
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fastembed = { version = "5", optional = true }
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# ============================================================================
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# OPTIONAL: Vector Search (USearch - HNSW, 20x faster than FAISS)
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# ============================================================================
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usearch = { version = "2", optional = true }
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# LRU cache for query embeddings
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lru = "0.16"
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[dev-dependencies]
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tempfile = "3"
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[lib]
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name = "vestige_core"
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path = "src/lib.rs"
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# Enable doctests
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doctest = true
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[package.metadata.docs.rs]
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all-features = true
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rustdoc-args = ["--cfg", "docsrs"]
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