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.
Loads your personal profile, mined from your local Claude Code/Codex/OpenCode logs, so your agent works like you instead of a cold start. One tool, loademuloprofile. Run with uvx emulo mcp.
Quality signal
48/100 (Fair)
55/100 (Good)
Install path
npx · high
npx · high
Engagement
0 0 0 2
0 0 0 216
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
Mines local AI coding session logs without uploading raw dataSupports multiple AI coding platforms including Claude Code, Codex, Copilot CLI, OpenCodeCreates layered profiles for task-specific agent behaviorIntegrates natively or through adapters with various AI agentsOperates locally with zero dependencies and MIT license
