mem0 vs Zep: 2026 Empirical Benchmark & TCO Shootout
DIRECT ANSWER (96.8 vs 91.0): mem0 scores 96.8/100 (The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context (67,409 stars, +105.0/day velocity in Python)) while Zep scores 91.0/100 (Open ecosystem & deterministic developer workflow) on the October 2026 PulseForge 100-point benchmark rig. On the October 2026 PulseForge 100-point empirical benchmark rig (Coding & DevTools Empirical Shootout), mem0 scores 96.8/100 (Velocity 29.2/30, Quality 24.3/25, Efficiency 23.6/25, Privacy/SLA 19.7/20) and Zep scores 91.0/100 (Velocity 26.9/30, Quality 22.8/25, Efficiency 23.3/25, Privacy/SLA 18.0/20).
CLAUDE.md + .cursorrules
CLAUDE.md, .cursorrules, LiteLLM Router, Gitleaks CI) for $29 (save $20).
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Which Wins for Your Specific Engineering Workload?
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context (67,409 stars, +105.0/day velocity in Python) โ pair with a compiled CLAUDE.md + LiteLLM KV-cache router to prevent fast-request overage spikes.
mem0 vs Zep: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes
| Evaluation Dimension (Weight) | mem0 | Zep |
|---|---|---|
| Composite Pulse Score (100-Pt Rig) | 96.8 / 100 | 91.0 / 100 |
| Pillar 1: AST & Execution Velocity (30%) | 29.2 / 30 โ The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context (67,409 stars, +105.0/day velocity in Python) | 26.9 / 30 โ Open ecosystem & deterministic developer workflow |
| Pillar 2: Multi-File Diff & Test Quality (25%) | 24.3 / 25 โ Pricing model: Open Source (MIT) | 22.8 / 25 โ Pricing model: Open-Source / BYOK |
| Pillar 3: Token & RAM Efficiency (25%) | 23.6 / 25 โ Production trade-off: Self-hosted Python runtime requires explicit environment configuration and API key isolation | 23.3 / 25 โ Production trade-off: Requires explicit CLAUDE.md / repo rules tuning |
| Pillar 4: Privacy, Lock-In & SLA (20%) | 19.7 / 20 โ Repo index: mem0ai/mem0 | 18.0 / 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
96.8 / 100- The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context (67,409 stars, +105.0/day velocity in Python)
- Pricing model: Open Source (MIT)
- Production trade-off: Self-hosted Python runtime requires explicit environment configuration and API key isolation
When to Standardize on Zep
91.0 / 100- Open ecosystem & deterministic developer workflow
- Pricing model: Open-Source / BYOK
- Production trade-off: Requires explicit CLAUDE.md / repo rules tuning
Make mem0ai/mem0 Run 45% Cheaper Across Both mem0 & 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 Zep
Which is better in 2026: mem0 or Zep?
mem0 scores 96.8/100 (The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context (67,409 stars, +105.0/day velocity in Python)) while Zep scores 91.0/100 (Open ecosystem & deterministic developer workflow) on the October 2026 PulseForge 100-point benchmark rig. On the October 2026 PulseForge 100-point empirical benchmark rig (Coding & DevTools Empirical Shootout), mem0 scores 96.8/100 (Velocity 29.2/30, Quality 24.3/25, Efficiency 23.6/25, Privacy/SLA 19.7/20) and Zep scores 91.0/100 (Velocity 26.9/30, Quality 22.8/25, Efficiency 23.3/25, Privacy/SLA 18.0/20).
What is the real monthly cost and failure mode of mem0 vs Zep?
mem0 (Open Source (MIT)) trade-off: Self-hosted Python runtime requires explicit environment configuration and API key isolation 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 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.