Changelog

Added

• Memory Compression Engine: Auto-compresses chat/memory content to reduce tokens and latency

• 5 compression algorithms: whitespace, filler, semantic, aggressive, balanced

• Auto-selects optimal algorithm based on content analysis
• Batch compression support for multiple texts
• Live savings metrics (tokens saved, latency reduction, compression ratio)
• Real-time statistics tracking across all compressions
• Integrated into memory storage with automatic compression
• REST API endpoints: /api/compression/compress, /api/compression/batch, /api/compression/analyze, /api/compression/stats

• Example usage in examples/backend/compression-examples.mjs

• VS Code Extension with AI Auto-Link

• Auto-links OpenMemory to 6 AI tools: Cursor, Claude, Windsurf, GitHub Copilot, Codex

• Dual mode support: Direct HTTP or MCP (Model Context Protocol)
• Status bar UI with clickable menu for easy control
• Toggle between HTTP/MCP mode in real-time
• Zero-config setup - automatically detects backend and writes configs
• Performance optimizations:
  • ESH (Event Signature Hash): Deduplicates ~70% redundant saves
  • HCR (Hybrid Context Recall): Sub-80ms queries with sector filtering
  • MVC (Micro-Vector Cache): 32-entry LRU cache saves ~60% embedding calls
• Settings for backend URL, API key, MCP mode toggle

• Postinstall script for automatic setup

• API Authentication & Security

• API key authentication with timing-safe comparison

• Rate limiting middleware (configurable, default 100 req/min)
• Compact 75-line auth implementation

• Environment-based configuration

• CI/CD

• GitHub Action for automated Docker build testing
• Ensures Docker images build successfully on every push

Changed

• Optimized all compression code for maximum efficiency