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