mirror of
https://github.com/samvallad33/vestige.git
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04781a95e2
New features: - deep_reference tool (#22): 8-stage cognitive reasoning pipeline with FSRS-6 trust scoring, intent classification (FactCheck/Timeline/RootCause/Comparison/ Synthesis), spreading activation expansion, temporal supersession, trust-weighted contradiction analysis, relation assessment, dream insight integration, and algorithmic reasoning chain generation — all without calling an LLM - cross_reference (#23): backward-compatible alias for deep_reference - retrieval_mode parameter on search (precise/balanced/exhaustive) - get_batch action on memory tool (up to 20 IDs per call) - Token budget raised from 10K to 100K on search + session_context - Dates (createdAt/updatedAt) on all search results and session_context lines Bug fixes (GitHub Issue #25 — all 10 resolved): - state_transitions empty: wired record_memory_access into strengthen_batch - chain/bridges no storage fallback: added with edge deduplication - knowledge_edges dead schema: documented as deprecated - insights not persisted from dream: wired save_insight after generation - find_duplicates threshold dropped: serde alias fix - search min_retention ignored: serde aliases for snake_case params - intention time triggers null: removed dead trigger_at embedding - changelog missing dreams: added get_dream_history + event integration - phantom Related IDs: clarified message text - fsrs_cards empty: documented as harmless dead schema Security hardening: - HTTP transport CORS: permissive() → localhost-only - Auth token panic guard: &token[..8] → safe min(8) slice - UTF-8 boundary fix: floor_char_boundary on content truncation - All unwrap() removed from HTTP transport (unwrap_or_else fallback) - Dream memory_count capped at 500 (prevents O(N²) hang) - Dormant state threshold aligned (0.3 → 0.4) Stats: 23 tools, 758 tests, 0 failures, 0 warnings, 0 unwraps in production Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
107 lines
3.4 KiB
TOML
107 lines
3.4 KiB
TOML
[package]
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name = "vestige-core"
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version = "2.0.4"
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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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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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# 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", 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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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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