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.
Local-first persistent memory for AI coding agents. Captures facts, decisions, patterns, and architecture notes in SQLite (with optional cloud embeddings) to reduce repeated context across sessions.
Up-to-date code documentation for LLMs and AI code editors.
Quality signal
48/100 (Fair)
37/100 (Emerging)
Install path
npx · high
npx · high
Engagement
0 0 0 2
0 0 0 60,240
Tools
Local-first storage using SQLite with optional cloud embeddingsToken-aware context retrieval with progressive disclosureSupport for multiple MCP-compatible clients including Claude Code and CodexImport existing project memory files automaticallyTeam-scoped memory synchronization through gitWeb-based UI for inspection and management
Version-specific documentation retrievalLibrary name resolution to Context7-compatible IDsCLI commands for searching libraries and fetching docsMCP server tools for native documentation accessSupports OAuth authentication and API key usage for higher rate limits
