# Mem0 vs Graphiti (Zep): 2026 Empirical Benchmark & Cost Shootout

> **Direct Answer (October 2026 Verdict)**: Mem0 wins on 3-line hybrid vector+graph memory SDK ergonomics and 82% prompt token reduction across multi-session chat (94.5), while Graphiti wins on bi-temporal edge invalidation and point-in-time fact reasoning (93.0).

- **Category**: Agent Memory Layer vs Temporal Knowledge Graph
- **Canonical URL**: https://pulse-forge.io/vs/mem0-vs-graphiti
- **1-Click $0 Free Starter docker-compose.prod.yml + CLAUDE.md**: https://pulse-forge.io/api/launch-kit/free-claude-md?repo=mem0ai/mem0
- **1-Click $4.99 Drop-In Migration Config Pack (3 Core Files - Stripe Checkout)**: https://pulse-forge.io/buy/micro_pass?repo=mem0ai/mem0&source=md_vs
- **1-Click $9.99 Complete 9-File Production Config .ZIP (Stripe Checkout)**: https://pulse-forge.io/buy/repo_pass_999?repo=mem0ai/mem0&source=md_vs_999
- **1-Click $49 Builder Repo Hardening & Launch Kit (Stripe Checkout)**: https://pulse-forge.io/buy/instant_boost?repo=mem0ai/mem0
- **1-Click $149 Category Leader Pro + 30-Day Pin (Stripe Checkout)**: https://pulse-forge.io/buy/category_leader?repo=mem0ai/mem0
- **Specimen #1 Production Config Preview (`docker-compose.prod.yml`)**: `+ [docker-compose.prod.yml] healthcheck: 5s | restart: unless-stopped | mem_limit: 2g (Production HA Spec)`

## Mem0 Key Advantages
- 67k+ GitHub stars; drop-in user, session, and agent memory layer for OpenAI, LangGraph, and CrewAI
- Cuts multi-turn conversation token spend by 82% vs full-history context stuffing
- Hybrid vector + Neo4j/Memgraph relational entity extraction out of the box

## Graphiti (Zep) Key Advantages
- 31.8k+ GitHub stars; bi-temporal graph tracks both when an event occurred and when it was ingested
- Sub-65ms incremental graph updates without recomputing the entire knowledge graph
- Eliminates stale-fact hallucinations when user preferences or enterprise states change over time