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.
Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
Quality signal
55/100 (Good)
40/100 (Fair)
Install path
npx · high
npx · high
Engagement
0 0 0 216
1 0 0 19,087
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
State-of-the-art performance on LongMemEval benchmarkSupports multiple LLM providers including OpenAI and AnthropicEasy integration via LLM wrapper or SDK/APIDocker deployment with PostgreSQL or Oracle AI Database supportClient libraries for Python and Node.jsEmbedded Python option without server dependency
