Engram vs Supermemory
Compare Engram and Supermemory for AI memory — encryption, code memory, compression, and multi-AI support.
Overview
Supermemory is an AI memory tool focused on bookmarks and web content. Engram is an encrypted, compressed memory system built for AI agent conversations, code sessions, and context files.
Different tools for different jobs — but if you’re building AI agents that need persistent memory, here’s how they compare.
Feature Comparison
| Feature | Engram | Supermemory |
|---|---|---|
| Zero-knowledge encryption | ✅ CAPRISE | ❌ |
| Client-side encryption | ✅ | ❌ |
| Conversation memory | ✅ Multi-AI | ⚠️ Limited |
| Code memory | ✅ | ❌ |
| Token optimization | ✅ 50-80% savings | ❌ |
| 10-50× compression | ✅ | ❌ |
| MCP protocol | ✅ | ❌ |
| Web content/bookmarks | ❌ | ✅ |
Different Use Cases
Supermemory excels at saving and retrieving web content — bookmarks, articles, notes. It’s a personal knowledge base for browsing.
Engram is purpose-built for AI agents — conversation history, code changes, and context files that your AI needs to do its job. With zero-knowledge encryption, your agent’s memory is private by default.
Bottom Line
Choose Supermemory if you want a personal web content memory tool.
Choose Engram if you’re building AI agents that need encrypted, searchable memory across conversations and code.