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, local-first AI memory: a semantic knowledge graph of plain Markdown files that humans and LLMs both read and write. Works with any MCP client, with optional cloud sync and team workspaces.
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