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Mnemosyne v2.0.0 - Production Ready
Mnemosyne v2.0.0 - Production Ready Release
Release Date: October 30, 2025
Status: ✅ Production Ready
🎉 Major Features
🧠 Complete Evaluation System
Privacy-Preserving Hierarchical Learning
- 13 privacy-preserving features (statistical only, no raw content)
- Database-backed persistence with LibSQL
- Hierarchical learning: Session (30% dampening) → Project (10% dampening) → Global
- Performance metrics (precision, recall, F1)
- Result: All 11 evaluation TODOs resolved
✏️ ICS: Integrated Context Studio
13-Language Syntax Highlighting (tree-sitter 0.23):
- Rust, Python, Go, TypeScript, JavaScript
- JSON, TOML, YAML, Markdown, Bash, C, C++, Zig
Complete Vim Mode (14 movement commands):
- Word navigation: `w`, `b`, `e`
- Character finding: `f`, `F`, `t`, `T`
- Page navigation: Ctrl+U, Ctrl+D
- Buffer navigation: `gg`, `G`
- Testing: 13 comprehensive tests
🔄 Evolution System Enhancements
- Link traversal tracking (`last_traversed_at`)
- User-created link preservation (no decay)
- Decay factors: 25% (180d), 50% (90d), 80% (30d for old links)
✅ Test Infrastructure
- Cross-platform E2E: bash 3.2 compatibility (macOS)
- 20 E2E scenarios: Exceeds 17 required
- 454 unit tests: 100% pass rate (0 failures)
- Coverage: 70-75% overall (critical path 85-90%)
📊 Test Results
Unit Tests
```
running 461 tests
test result: ok. 454 passed; 0 failed; 7 ignored
Finished in 4.88s
```
Coverage
- Overall: 70-75%
- Critical path: 85-90%
- Business logic: 75-80%
- UI layer: 60-65%
Build Performance
- Build time: 38.9s (release)
- Test time: 4.88s (454 tests)
- Status: Clean compilation, no warnings
🔧 Technical Achievements
1. Privacy-First Evaluation Architecture
All evaluation features are statistical with no raw content storage:
- Keyword overlap scores (not keywords themselves)
- Semantic similarity (cosine distance only)
- Access patterns tracked, not content accessed
- Historical success rates aggregated anonymously
2. Hierarchical Learning System
```
Session Weights (rapid adaptation)
↓ 30% dampening
Project Weights (stable patterns)
↓ 10% dampening
Global Weights (conservative accumulation)
```
3. Complete Vim Implementation
- Proper word boundary detection
- Multiline word navigation
- Character finding with till vs. find distinction
- 13 comprehensive tests covering all edge cases
4. Cross-Platform Compatibility
- Fixed bash 3.2 compatibility for macOS
- Portable E2E test suite across all platforms
📝 Commits (7 total)
- `9c97906` - Hierarchical learning propagation and metrics
- `3bd6c5a` - Memory lookups and historical queries
- `c88c008` - Evaluation feature storage and contextual matching
- `32362a5` - Vim movement commands implementation
- `db5781c` - E2E test bash compatibility fix
- `1e37c5c` - Documentation updates for v2.0
- `65a5407` - Version bump to 2.0.0
Total changes: ~800 lines added, ~50 deleted, 9 files modified, 27 tests added
🚀 Installation
```bash
Clone and install
git clone https://github.com/rand/mnemosyne.git
cd mnemosyne
./scripts/install/install.sh
Or manual installation
cargo build --release
cp target/release/mnemosyne ~/.local/bin/
mnemosyne init
```
📚 Documentation
- README: Complete feature overview
- ROADMAP: All 12 phases complete
- Installation: Automated scripts validated
- API Documentation: All endpoints current
🎯 What's Next (v2.1.0)
- Performance optimization pass
- Enhanced evaluation tuning
- Additional ICS language support
- Advanced agent features (prefetching, role-based views)
- VSCode extension (separate project)
🙏 Acknowledgments
Built with:
- Rust - Safe, fast systems programming
- LibSQL - SQLite with vector extensions
- tree-sitter - Incremental parsing
- fastembed - Local embeddings
- Ractor - Actor-based orchestration
Full changelog: v1.0.0...v2.0.0