vestige/CHANGELOG.md
Sam Valladares ce520bb246 chore: license AGPL-3.0, zero clippy warnings, CHANGELOG through v1.6.0
License:
- Replace MIT/Apache-2.0 with AGPL-3.0-only across all crates and npm packages
- Replace LICENSE file with official GNU AGPL-3.0 text
- Remove LICENSE-MIT and LICENSE-APACHE

Code quality:
- Fix all 44 clippy warnings (zero remaining)
- Collapsible if statements, redundant closures, manual Option::map
- Remove duplicate #[allow(dead_code)] attributes in deprecated tool modules
- Add Default impl for CognitiveEngine
- Replace manual sort_by with sort_by_key

Documentation:
- Update CHANGELOG with v1.2.0, v1.3.0, v1.5.0, v1.6.0 entries
- Update README with v1.6.0 highlights and accurate stats (52K lines, 1100+ tests)
- Add fastembed-rs/ to .gitignore
- Add fastembed-rs to workspace exclude

1115 tests passing, zero warnings, RUSTFLAGS="-Dwarnings" clean.
2026-02-19 03:00:39 -06:00

6.6 KiB

Changelog

All notable changes to Vestige will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[1.6.0] - 2026-02-19

Changed

  • F16 vector quantization — USearch vectors stored as F16 instead of F32 (2x storage savings)
  • Matryoshka 256-dim truncation — embedding dimensions reduced from 768 to 256 (3x embedding storage savings)
  • Convex Combination fusion — replaced RRF with 0.3 keyword / 0.7 semantic weighted fusion for better score preservation
  • Cross-encoder reranker — added Jina Reranker v1 Turbo (fastembed TextRerank) for neural reranking (~20% retrieval quality improvement)
  • Combined: 6x vector storage reduction with better retrieval quality
  • Cross-encoder loads in background — server starts instantly
  • Old 768-dim embeddings auto-migrated on load

[1.5.0] - 2026-02-18

Added

  • CognitiveEngine — 28-module stateful engine with full neuroscience pipeline on every tool call
  • dream tool — memory consolidation via replay, discovers hidden connections and synthesizes insights
  • explore_connections tool — graph traversal with chain, associations, and bridges actions
  • predict tool — proactive retrieval based on context and activity patterns
  • restore tool — restore memories from JSON backup files
  • Automatic consolidation — FSRS-6 decay runs on a 6-hour timer + inline every 100 tool calls
  • ACT-R base-level activation with full access history
  • Episodic-to-semantic auto-merge during consolidation
  • Cross-memory reinforcement on access
  • Park et al. triple retrieval scoring
  • Personalized w20 optimization

Changed

  • All existing tools upgraded with cognitive pre/post processing pipelines
  • Tool count: 19 → 23

[1.3.0] - 2026-02-12

Added

  • importance_score tool — 4-channel neuroscience scoring (novelty, arousal, reward, attention)
  • session_checkpoint tool — batch smart_ingest up to 20 items with Prediction Error Gating
  • find_duplicates tool — cosine similarity clustering with union-find for dedup
  • vestige ingest CLI command for memory ingestion via command line

Changed

  • Tool count: 16 → 19
  • Made get_node_embedding public in core API
  • Added get_all_embeddings for duplicate scanning

[1.2.0] - 2026-02-12

Added

  • Web dashboard — Axum-based on port 3927 with memory browser, search, and system stats
  • memory_timeline tool — browse memories chronologically, grouped by day
  • memory_changelog tool — audit trail of memory state transitions
  • health_check tool — system health status with recommendations
  • consolidate tool — run FSRS-6 maintenance cycle
  • stats tool — full memory system statistics
  • backup tool — create SQLite database backups
  • export tool — export memories as JSON/JSONL with filters
  • gc tool — garbage collect low-retention memories
  • backup_to() and get_recent_state_transitions() storage APIs

Changed

  • Search now supports detail_level (brief/summary/full) to control token usage
  • Tool count: 8 → 16

[1.1.3] - 2026-02-12

Changed

  • Upgraded to Rust edition 2024
  • Security hardening and dependency updates

Fixed

  • Dedup on ingest edge cases
  • Intel Mac CI builds
  • NPM package version alignment
  • Removed dead TypeScript package

[1.1.2] - 2025-01-27

Fixed

  • Embedding model cache now uses platform-appropriate directories instead of polluting project folders
    • macOS: ~/Library/Caches/com.vestige.core/fastembed
    • Linux: ~/.cache/vestige/fastembed
    • Windows: %LOCALAPPDATA%\vestige\cache\fastembed
  • Can still override with FASTEMBED_CACHE_PATH environment variable

[1.1.1] - 2025-01-27

Fixed

  • UTF-8 string slicing issues in keyword search and prospective memory
  • Silent error handling in MCP stdio protocol
  • Feature flag forwarding between crates
  • All GitHub issues resolved (#1, #3, #4)

Added

  • Pre-built binaries for Linux, Windows, and macOS (Intel & ARM)
  • GitHub Actions CI/CD for automated releases

[1.1.0] - 2025-01-26

Changed

  • Tool Consolidation: 29 tools → 8 cognitive primitives
    • recall, semantic_search, hybrid_searchsearch
    • get_knowledge, delete_knowledge, get_memory_statememory
    • remember_pattern, remember_decision, get_codebase_contextcodebase
    • 5 intention tools → intention
  • Stats and maintenance moved from MCP to CLI (vestige stats, vestige health, etc.)

Added

  • CLI admin commands: vestige stats, vestige health, vestige consolidate, vestige restore
  • Feedback tools: promote_memory, demote_memory
  • 30+ FAQ entries with verified neuroscience claims
  • Storage modes documentation: Global, per-project, multi-Claude household
  • CLAUDE.md templates for proactive memory use
  • Version pinning via git tags

Deprecated

  • Old tool names (still work with warnings, removed in v2.0)

[1.0.0] - 2025-01-25

Added

  • FSRS-6 spaced repetition algorithm with 21 parameters
  • Bjork & Bjork dual-strength memory model (storage + retrieval strength)
  • Local semantic embeddings with fastembed v5 (BGE-base-en-v1.5, 768 dimensions)
  • HNSW vector search with USearch (20x faster than FAISS)
  • Hybrid search combining BM25 keyword + semantic + RRF fusion
  • Two-stage retrieval with reranking (+15-20% precision)
  • MCP server for Claude Desktop integration
  • Tauri desktop application
  • Codebase memory module for AI code understanding
  • Neuroscience-inspired memory mechanisms:
    • Synaptic Tagging and Capture (retroactive importance)
    • Context-Dependent Memory (Tulving encoding specificity)
    • Spreading Activation Networks
    • Memory States (Active/Dormant/Silent/Unavailable)
    • Multi-channel Importance Signals (Novelty/Arousal/Reward/Attention)
    • Hippocampal Indexing (Teyler & Rudy 2007)
  • Prospective memory (intentions and reminders)
  • Sleep consolidation with 5-stage processing
  • Memory compression for long-term storage
  • Cross-project learning for universal patterns

Changed

  • Upgraded embedding model from all-MiniLM-L6-v2 (384d) to BGE-base-en-v1.5 (768d)
  • Upgraded fastembed from v4 to v5

Fixed

  • SQL injection protection in FTS5 queries
  • Infinite loop prevention in file watcher
  • SIGSEGV crash in vector index (reserve before add)
  • Memory safety with Mutex wrapper for embedding model

[0.1.0] - 2025-01-24

Added

  • Initial release
  • Core memory storage with SQLite + FTS5
  • Basic FSRS scheduling
  • MCP protocol support
  • Desktop app skeleton