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 graph memory for AI agents. Drop a conversation turn in via observeconversation() and facts are auto-extracted, stored as typed graph nodes with local semantic embeddings (no API key). Supports temporal queries ("what did we decide last week?"), conflict detection, and context priming. One-command setup with waggle-mcp init. SQLite locally, Neo4j in production.
Self-hosted plain-markdown knowledge base with a built-in MCP server. Lets Claude Desktop, Cursor, and any MCP client search, read, create, edit, tag, and template notes — same vault that powers the web UI. Pure-stdlib client, no extra deps, MIT-licensed. Can run in Docker.