Engram vs Mem0

Compare Engram and Mem0 for AI agent memory — encryption, compression, code memory, and pricing.

Overview

Both Engram and Mem0 provide memory for AI agents, but they take fundamentally different approaches to privacy and data handling.

Engram encrypts everything client-side with CAPRISE zero-knowledge encryption — the server searches encrypted vectors without ever seeing plaintext. Mem0 processes your data server-side with no client-side encryption option.

Feature Comparison

Feature Engram Mem0
Zero-knowledge encrypted search ✅ CAPRISE
Client-side encryption ✅ AES-256 + CAPRISE
10-50× compression
Code memory (edits/errors/fixes)
Context window optimization ✅ 50-80% token savings ⚠️ Partial
Multi-AI support ✅ Claude, ChatGPT, OpenClaw ⚠️ Limited
MCP protocol
Open-source client
Self-host option ✅ Enterprise

Privacy

This is the core differentiator. With Mem0, your conversation data is processed and stored on their servers in plaintext. With Engram, your data is encrypted on your machine before upload — we literally cannot read your conversations, even if compelled.

For teams handling sensitive code, proprietary data, or regulated information, this isn’t a nice-to-have — it’s a requirement.

Compression

Engram’s schema-compressed vectors achieve 10-50× reduction in storage size while preserving search accuracy. This means lower storage costs and faster retrieval. Mem0 stores vectors at full size.

Code Memory

Engram indexes file edits, errors, fixes, and commits across coding sessions — searchable as a timeline. Your AI never rediscovers the same bug fix twice. Mem0 focuses on conversation memory only.

Pricing

Plan Engram Mem0
Free 100K records Limited
Pro $29/mo — 1M records Contact sales
Team $99/mo — 5M records Contact sales
Enterprise Custom Custom

Bottom Line

Choose Mem0 if you want a simple, hosted memory layer and don’t need encryption or code memory.

Choose Engram if privacy matters, you work with code, or you want to cut token costs with compressed retrieval.

Start free with Engram →