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FSRS-6 spaced repetition, spreading activation, synaptic tagging, hippocampal indexing, and 130 years of memory research. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
49 lines
1.8 KiB
Markdown
49 lines
1.8 KiB
Markdown
# Changelog
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All notable changes to Vestige will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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### Added
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- FSRS-6 spaced repetition algorithm with 21 parameters
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- Bjork & Bjork dual-strength memory model (storage + retrieval strength)
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- Local semantic embeddings with fastembed v5 (BGE-base-en-v1.5, 768 dimensions)
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- HNSW vector search with USearch (20x faster than FAISS)
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- Hybrid search combining BM25 keyword + semantic + RRF fusion
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- Two-stage retrieval with reranking (+15-20% precision)
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- MCP server for Claude Desktop integration
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- Tauri desktop application
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- Codebase memory module for AI code understanding
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- Neuroscience-inspired memory mechanisms:
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- Synaptic Tagging and Capture (retroactive importance)
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- Context-Dependent Memory (Tulving encoding specificity)
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- Spreading Activation Networks
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- Memory States (Active/Dormant/Silent/Unavailable)
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- Multi-channel Importance Signals (Novelty/Arousal/Reward/Attention)
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- Hippocampal Indexing (Teyler & Rudy 2007)
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- Prospective memory (intentions and reminders)
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- Sleep consolidation with 5-stage processing
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- Memory compression for long-term storage
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- Cross-project learning for universal patterns
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### Changed
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- Upgraded embedding model from all-MiniLM-L6-v2 (384d) to BGE-base-en-v1.5 (768d)
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- Upgraded fastembed from v4 to v5
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### Fixed
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- SQL injection protection in FTS5 queries
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- Infinite loop prevention in file watcher
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- SIGSEGV crash in vector index (reserve before add)
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- Memory safety with Mutex wrapper for embedding model
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## [0.1.0] - 2026-01-24
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### Added
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- Initial release
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- Core memory storage with SQLite + FTS5
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- Basic FSRS scheduling
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- MCP protocol support
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- Desktop app skeleton
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