Mem0 vs Graphiti (Zep): 2026 Empirical Benchmark & TCO Shootout
DIRECT ANSWER (94.5 vs 93.0): 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). On the October 2026 PulseForge 100-point empirical benchmark rig (Agent Memory Layer vs Temporal Knowledge Graph), Mem0 scores 94.5/100 (Velocity 28.5/30, Quality 23.7/25, Efficiency 23.1/25, Privacy/SLA 19.2/20) and Graphiti (Zep) scores 93.0/100 (Velocity 27.5/30, Quality 23.2/25, Efficiency 23.8/25, Privacy/SLA 18.5/20).
CLAUDE.md + .cursorrules
CLAUDE.md, .cursorrules, LiteLLM Router, Gitleaks CI) for $29 (save $20).
Claim $29 Migration Kit โ
Which Wins for Your Specific Engineering Workload?
67k+ GitHub stars; drop-in user, session, and agent memory layer for OpenAI, LangGraph, and CrewAI โ pair with a compiled CLAUDE.md + LiteLLM KV-cache router to prevent fast-request overage spikes.
Mem0 vs Graphiti (Zep): 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes
| Evaluation Dimension (Weight) | Mem0 | Graphiti (Zep) |
|---|---|---|
| Composite Pulse Score (100-Pt Rig) | 94.5 / 100 | 93.0 / 100 |
| Pillar 1: AST & Execution Velocity (30%) | 28.5 / 30 โ 67k+ GitHub stars; drop-in user, session, and agent memory layer for OpenAI, LangGraph, and CrewAI | 27.5 / 30 โ 31.8k+ GitHub stars; bi-temporal graph tracks both when an event occurred and when it was ingested |
| Pillar 2: Multi-File Diff & Test Quality (25%) | 23.7 / 25 โ Cuts multi-turn conversation token spend by 82% vs full-history context stuffing | 23.2 / 25 โ Sub-65ms incremental graph updates without recomputing the entire knowledge graph |
| Pillar 3: Token & RAM Efficiency (25%) | 23.1 / 25 โ Hybrid vector + Neo4j/Memgraph relational entity extraction out of the box | 23.8 / 25 โ Eliminates stale-fact hallucinations when user preferences or enterprise states change over time |
| Pillar 4: Privacy, Lock-In & SLA (20%) | 19.2 / 20 โ Repo index: mem0ai/mem0 | 18.5 / 20 โ Repo index: getzep/graphiti |
| Seat Pricing & Fast-Pool Economics | Open Source (MIT) | Open-Source / BYOK API |
| Verified Production Failure Mode | Self-hosted Python runtime requires explicit environment configuration and API key isolation | Requires explicit repository rules file to prevent multi-file context drift on >100k LOC. |
| Context Compression Fix (-38% Tokens) | Download Free CLAUDE.md + Rules โ | Download Free CLAUDE.md + Rules โ |
When to Standardize on Mem0
94.5 / 100- 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
When to Standardize on Graphiti (Zep)
93.0 / 100- 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
Make mem0ai/mem0 Run 45% Cheaper Across Both Mem0 & Graphiti (Zep)
Includes pre-compiled CLAUDE.md, synchronized .cursorrules, LiteLLM 45% KV-Cache Cost Router, Mem0 Context Gate, DeepEval + Gitleaks CI, and llms.txt.
Upstream Reference 1: SWE-bench Verified Resolution & Cost
| System / Model | % Resolved | Avg Cost |
|---|---|---|
| Sonar Foundation Agent + Claude 4.5 Opus | 79.2% | N/A |
| live-SWE-agent + Claude 4.5 Opus medium (20251101) | 79.2% | N/A |
| TRAE + Doubao-Seed-Code | 78.8% | N/A |
| live-SWE-agent + Gemini 3 Pro Preview (2025-11-18) | 77.4% | N/A |
| EPAM AI/Run Developer Agent v20250719 + Claude 4 Sonnet | 76.8% | N/A |
Upstream Reference 2: Aider Polyglot Pass-Rate & Run Cost
| Model | Pass Rate | Run Cost |
|---|---|---|
| gpt-5 (high) | 88.0% | $29.08 |
| gpt-5 (medium) | 86.7% | $17.69 |
| o3-pro (high) | 84.9% | $146.32 |
| gemini-2.5-pro-preview-06-05 (32k think) | 83.1% | $49.88 |
| o3 (high) | 81.3% | $21.23 |
Frequently Asked Questions: Mem0 vs Graphiti (Zep)
Which is better in 2026: Mem0 or Graphiti (Zep)?
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). On the October 2026 PulseForge 100-point empirical benchmark rig (Agent Memory Layer vs Temporal Knowledge Graph), Mem0 scores 94.5/100 (Velocity 28.5/30, Quality 23.7/25, Efficiency 23.1/25, Privacy/SLA 19.2/20) and Graphiti (Zep) scores 93.0/100 (Velocity 27.5/30, Quality 23.2/25, Efficiency 23.8/25, Privacy/SLA 18.5/20).
What is the real monthly cost and failure mode of Mem0 vs Graphiti (Zep)?
Mem0 (Open Source (MIT)) trade-off: Self-hosted Python runtime requires explicit environment configuration and API key isolation Graphiti (Zep) (Open-Source / BYOK API) trade-off: Requires explicit repository rules file to prevent multi-file context drift on >100k LOC.
How can engineering teams synchronize rules across Mem0 and Graphiti (Zep) while cutting token spend by 45%?
Generate a free unified CLAUDE.md and .cursorrules/.windsurfrules index at https://exactbaseline.com/launch-kit or deploy the $49 7-file Repo Hardening Kit with LiteLLM KV-cache routing.