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Bumps vestige-core + vestige-mcp + @vestige/dashboard + vestige-mcp-server + @vestige/init from 2.0.5 → 2.0.6, regenerates the Cargo.lock, rebuilds the dashboard with the new events.ts handlers + intentions page fix baked in, and writes the v2.0.6 "Composer" entry to CHANGELOG.md. Release contents: - fix(dashboard): intentions page priority + trigger rendering (commit 9df63de) - feat(dashboard): wire 6 graph event handlers — suppress, unsuppress, Rac1 cascade, Connected, ConsolidationStarted, ImportanceScored (commit f085cfd) - feat(mcp): opt-in VESTIGE_SYSTEM_PROMPT_MODE=full composition mandate (commit 7d7a7c2) - docs(readme): v2.0.6 header + Intel Mac / Windows build-from-source honesty (commit ede0a02) Pre-push gates green: cargo test --workspace --release, cargo clippy --all-targets -D warnings, svelte-check (580 files 0 errors), vitest (171/171). No regressions of merged PRs #18/20/22/24/26/28/29/30/32/33.
119 lines
4.4 KiB
TOML
119 lines
4.4 KiB
TOML
[package]
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name = "vestige-core"
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version = "2.0.6"
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edition = "2024"
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rust-version = "1.91"
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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 = "AGPL-3.0-only"
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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", "bundled-sqlite"]
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# SQLite backend (default, unencrypted)
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bundled-sqlite = ["rusqlite/bundled"]
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# Encrypted SQLite via SQLCipher (mutually exclusive with bundled-sqlite)
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# Use: --no-default-features --features encryption,embeddings,vector-search
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# Set VESTIGE_ENCRYPTION_KEY env var to enable encryption
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encryption = ["rusqlite/bundled-sqlcipher"]
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# Core embeddings with fastembed (ONNX-based, local inference)
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# Downloads a pre-built ONNX Runtime binary at build time (requires glibc >= 2.38)
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embeddings = ["dep:fastembed", "fastembed/ort-download-binaries-native-tls"]
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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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# Use runtime-loaded ORT instead of the downloaded pre-built binary.
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# Required on systems with glibc < 2.38 (Ubuntu 22.04, Debian 12, RHEL/Rocky 9).
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# Mutually exclusive with the default `embeddings` feature's download strategy.
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# Usage: --no-default-features --features ort-dynamic,vector-search,bundled-sqlite
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# Runtime requirement: libonnxruntime.so must be on LD_LIBRARY_PATH or ORT_DYLIB_PATH set.
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ort-dynamic = ["dep:fastembed", "fastembed/ort-load-dynamic", "fastembed/hf-hub-native-tls", "fastembed/image-models"]
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# Nomic Embed Text v2 MoE (475M params, 305M active, Candle backend)
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# Requires: fastembed with nomic-v2-moe feature
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nomic-v2 = ["embeddings", "fastembed/nomic-v2-moe"]
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# Qwen3 Reranker (Candle backend, high-precision cross-encoder)
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qwen3-reranker = ["embeddings", "fastembed/qwen3"]
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# Metal GPU acceleration on Apple Silicon (significantly faster inference)
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metal = ["fastembed/metal"]
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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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# Note: "bundled" or "bundled-sqlcipher" added via feature flags above
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rusqlite = { version = "0.38", features = ["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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# vendored-openssl: Compile OpenSSL from source for cross-compilation support
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git2 = { version = "0.20", features = ["vendored-openssl"] }
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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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# nomic-embed-text-v1.5: 768 dimensions, 8192 token context, Matryoshka support
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# v5.11: Adds Nomic v2 MoE (nomic-v2-moe feature) + Qwen3 reranker (qwen3 feature)
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fastembed = { version = "5.11", default-features = false, features = ["hf-hub-native-tls", "image-models"], 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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# Pinned to 2.23.0 — 2.24.0 introduced a Windows MSVC compile break because
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# its memory_mapping_allocator_gt template references the POSIX MAP_FAILED
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# macro from <sys/mman.h>, which doesn't exist on MSVC. Tracked upstream in
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# unum-cloud/usearch#746. Unpin when the upstream fix lands.
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usearch = { version = "=2.23.0", 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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criterion = { version = "0.5", features = ["html_reports"] }
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[[bench]]
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name = "search_bench"
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harness = false
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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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