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Changelog

All notable changes to MCP Standards will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

0.1.0-alpha.1 - 2025-10-15

Added

  • Self-Learning System: Automatically learns from corrections and updates CLAUDE.md
  • Episode Storage: Manual knowledge storage with full-text search
  • Learned Preferences: Automatic pattern detection from repeated corrections
  • AI Standards Generation: Auto-generate CLAUDE.md from project config files
  • Cost Optimization Integration: Optional agentic-flow integration for 99.5% cost savings
  • Security Features: Path validation, audit logging, CLAUDE.md-only updates
  • Pattern Learning: Confidence scoring system (0.3, 0.7, 0.9 thresholds)
  • 9 MCP Tools: add_episode, search_episodes, list_recent, generate_ai_standards, get_learned_preferences, suggest_claudemd_update, update_claudemd, log_tool_execution, export_to_markdown
  • Comprehensive Documentation: Quick Start Guide, Security Guide, Architecture docs

Changed

  • Rebranded from research-mcp/claude-memory to mcp-standards
  • Database path: .claude-memory → .mcp-standards
  • Server name: claude-memory → mcp-standards
  • Repository: research-mcp → airmcp-com/mcp-standards

Fixed

  • MCP server startup with --directory flag for proper module resolution
  • Agentic-flow configuration with correct repository and tracking variables
  • Claude Desktop config path documentation (macOS)
  • Installation instructions with proper uv commands

Documentation

  • Added comprehensive Quick Start Guide with two-system explanation
  • Added 60-second quickstart tutorial
  • Clear distinction between Episodes (manual) vs Learned Preferences (automatic)
  • Practical example: Teaching Claude to use uv instead of pip
  • Installation instructions for packaged versions

Technical

  • Python 3.10+ with uv package manager
  • SQLite with FTS5 full-text search
  • MCP 1.0 protocol compliant
  • 12/12 smoke tests passing
  • Local-first architecture (100% privacy)

[Unreleased]

Planned

  • Additional test coverage (integration and unit tests)
  • Performance benchmarking
  • Multi-language support for standards generation
  • Plugin system for custom extractors
  • Web UI for knowledge base management