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.
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.
Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client.
Quality signal
55/100 (Good)
51/100 (Fair)
Install path
npx · high
npx · high
Engagement
0 0 0 216
0 0 0 6
Tools
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
17 tools for memory, knowledge graph, context, and artifact managementHybrid search combining BM25, vector embeddings, and graph connections24 relationship types for rich knowledge graph constructionContext checkpointing with awaken and reflect tools for session continuityCross-platform synchronization across multiple MCP clientsArtifact storage with save, retrieve, list, and delete capabilities
