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 agents. SQLite + local embeddings (all-MiniLM-L6-v2), hybrid semantic + FTS5 recall, secret detection, and contradiction handling. 6 MCP tools (remember, recall, forget, feedback, context, status) over stdio. Zero cloud, no API keys, fully offline. Works with Claude Desktop/Code, Cursor, and Windsurf. npm install -g @hbarefoot/engram
Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
Quality signal
53/100 (Fair)
48/100 (Fair)
Install path
npx · high
pip · high
Engagement
0 0 0 7
0 0 0 29,758
Tools
Local SQLite database with all-MiniLM-L6-v2 embeddingsHybrid semantic and FTS5 full-text search recallAutomatic secret detection on every write operationSix MCP-native tools: remember, recall, forget, feedback, context, statusFully offline operation with zero external dependenciesIn-process integration with no separate server or IPC overhead
Self-hosted knowledge graph with vector and graph searchIngestion from over 30 data sources and multiple formatsOntology generation grounded in cognitive sciencePersistent memory across AI agent sessionsSupport for multimodal data and evolving knowledge relationshipsOpen-source with Python client and plugins for integration