Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Persistent memory and session intelligence for Claude Code. Auto-tracks mistakes, decisions, and context via hooks. Mines session history for patterns and cross-session search. Loop detection, pre-edit warnings, context compaction survival. Runs locally with Ollama.
Compresses AI chat sessions into a typed knowledge graph (300–800 tokens). Works file-based in Copilot, Claude Code, Cursor, and Gemini CLI without MCP server mode. Supports local/offline extraction via Ollama — no API key required.