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Mnemex Roadmap

This document outlines the development roadmap for Mnemex. For detailed implementation notes, see future_roadmap.md.

Version 1.0.0 (Released ✅)

Status: Production-ready, feature-complete

  • ✅ 11 MCP tools for memory management
  • ✅ Temporal decay with 3 models (power-law, exponential, two-component)
  • ✅ JSONL storage with in-memory indexing
  • ✅ Algorithmic memory consolidation
  • ✅ Unified search across STM and LTM
  • ✅ Git integration for backups
  • ✅ Obsidian vault integration
  • ✅ 7 CLI commands
  • ✅ Complete documentation suite
  • ✅ CI/CD with GitHub Actions

Version 1.1.0 (Planned - Q1 2026)

Focus: Stability, Testing, Security

High Priority

  • Security Hardening (#6)
  • Dependency scanning (Dependabot, safety, pip-audit)
  • Code security scanning (Bandit, Semgrep)
  • Supply chain verification (SBOM)

  • SECURITY.md policy

  • Fix mypy Type Checking (#1)

  • Fix 30+ type errors

  • Re-enable mypy in CI

  • Improve Test Coverage (#7)

  • Target: 80%+ coverage (currently 40%)
  • CLI tool tests
  • Integration tests

  • Error handling tests

  • Production Hardening (#8)

  • File corruption handling
  • Graceful degradation
  • File locking for concurrent access
  • Better logging
  • Configuration validation

Medium Priority

  • Platform Testing (#9)
  • Windows testing (community help needed)
  • Linux testing (community help needed)

  • Cross-platform bug fixes

  • Performance Optimizations (#4)

  • Benchmark suite
  • Tag/entity indexing
  • Embedding cache
  • Score caching

Version 1.2.0 (Planned - Q2 2026)

Focus: Advanced Features, User Experience

High Priority

  • Spaced Repetition (#2)
  • Review scheduling
  • Review queue tool

  • Adaptive intervals (SM-2 inspired)

  • Adaptive Decay Parameters (#3)

  • Category-based decay profiles
  • Usage-pattern learning
  • Auto-detection from tags/content

Low Priority

  • LLM-Assisted Consolidation (#5)
  • Optional LLM-powered merge decisions
  • Semantic understanding for better merges
  • Opt-in feature

Version 2.0.0 (Future)

Focus: Advanced AI Features, Ecosystem Integration

  • Machine learning for decay parameter optimization
  • Multi-user support
  • API server mode
  • Plugins/extensions system
  • Integration with popular tools (Raycast, Alfred, etc.)
  • Mobile client support (iOS, Android)

Contributing

We welcome contributions! Priority areas:

  1. Platform Testing - Help test on Windows/Linux (#9)
  2. Security - Implement security hardening (#6)
  3. Testing - Increase coverage (#7)

See CONTRIBUTING.md for details.

Last Updated: 2025-10-09 Current Version: 0.4.0 Next Release: 0.5.0 (Q1 2026 - Security & Stability)