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, compounding memory for AI agents across sessions. Uses the Intelligent Distance Protocol to surface the most contextually relevant past memories. Five tools: sessionstart, remember, recall, check, sessionend. npx agent-recall-mcp
Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation. Automatic session capture, deduplication, 6-factor relevance scoring. pip install mem-context