Roadmap - robwhite4/claude-memory GitHub Wiki

Claude Memory Roadmap

This roadmap outlines the planned development for Claude Memory, organized by version milestones.

✅ Recently Released: v1.10.0

Released: June 14, 2025
Theme: Export/Import & Bulk Operations

Completed Features

  • ✅ #27 - Bulk task operations
  • ✅ #30 - Export and reporting capabilities
  • ✅ #43 - Report auto-save feature
  • ✅ Enhanced export command with multiple formats (JSON, YAML, CSV, Markdown)
  • ✅ Import command with merge/replace modes
  • ✅ Report generation (6 types with auto-save)
  • ✅ JSON schema standardization

Achievements

  • ✅ Bulk workflow automation enabled
  • ✅ Full data portability implemented
  • ✅ Strong foundation for v1.11.0+ features

🎯 Current Focus: v1.11.0

Target Date: Q3 2025
Theme: GitHub Integration

Planned Features

  • #28 - GitHub integration for task sync (HIGH priority)
  • #29 - Enhanced knowledge management (edit/search)
  • Direct task ↔ GitHub issue synchronization
  • Webhook support for bidirectional sync

Goals

  • Seamless GitHub workflow integration
  • Eliminate manual task/issue duplication
  • Real-world development workflow optimization

🚀 Future: v2.0.0

Target: Q3 2025
Theme: Major Enhancements

Under Consideration

Plugin System

  • Custom command registration
  • JavaScript/TypeScript plugin API
  • Plugin marketplace/registry
  • Example plugins (Git integration, Jira sync)

Team Collaboration

  • Memory merge strategies
  • Conflict resolution
  • Role-based memory sections
  • Team templates

Performance & Scale

  • Streaming for large memory files
  • Memory compression
  • Indexed searches
  • Background sync

Export/Import Improvements

  • Multiple format support (JSON, YAML, Markdown)
  • Selective export/import
  • Memory migration tools
  • Backup automation

Web UI

  • Browser-based memory viewer
  • Visual timeline of decisions
  • Search and filter interface
  • Memory analytics

AI Integration

  • Support for other AI assistants
  • API for programmatic access
  • Memory sharing between projects
  • Context optimization algorithms

Templates & Presets

  • Project type templates
  • Industry-specific configurations
  • Memory scaffolding
  • Best practices built-in

📊 Version History & Completed Features

v1.10.0 (Latest)

  • ✅ Bulk task operations (#27)
  • ✅ Enhanced export command with multiple formats (#30)
  • ✅ Import command with merge/replace modes (#30)
  • ✅ Report generation (6 types) (#30)
  • ✅ Report auto-save feature (#43)

v1.9.0

  • ✅ Global --dry-run flag (#22)
  • ✅ Global --config flag (#23)
  • ✅ Global --force flag (#24)
  • ✅ Global --debug flag (#25)
  • ✅ Code refactoring (#32)

v1.8.x Series

  • ✅ v1.8.2 - Multi-machine & team documentation
  • ✅ v1.8.1 - Repository housekeeping
  • ✅ v1.8.0 - Priority 1 CLI flags

v1.7.0

  • ✅ Multi-file context system
  • ✅ Token optimization improvements

v1.6.0

  • ✅ Enhanced help system
  • ✅ CLAUDE.md merge strategy

v1.5.0

  • ✅ Pattern subcommands
  • ✅ Knowledge management
  • ✅ Enhanced search

💡 Feature Requests

We track feature requests through GitHub Issues. Vote on existing requests or submit new ones!

Most Requested (Not Yet Planned)

  1. Memory Sync - Real-time sync across machines
  2. Git Hooks - Automatic memory updates on commit
  3. VS Code Extension - IDE integration
  4. Memory Analytics - Insights and reporting
  5. Project Templates - Quick starts for common setups

🗳️ Community Input

Help shape the future of Claude Memory:

  • Vote on issues with 👍 reactions
  • Comment with use cases
  • Submit feature requests
  • Join discussions

📅 Release Cadence

  • Patch releases: As needed for bugs
  • Minor releases: Every 2-4 weeks
  • Major releases: 2-3 per year

🔄 Planning Process

  1. Feature Request → Issue created
  2. Community Discussion → Gather feedback
  3. Planning → Assign to milestone
  4. Development → Follow workflow
  5. Release → Automated deployment

📌 Principles

Our development is guided by:

  • User Experience First - Features must improve workflow
  • Backward Compatibility - Don't break existing setups
  • Token Efficiency - Optimize for AI consumption
  • Professional Standards - Quality over quantity

This roadmap is updated regularly. Check the milestones for latest planning.