Mem0 vs Zep (2026)

Mem0

by Mem0 AI

Zep

by Zep AI

Pros

• ✓Mem0 runs as a managed platform or as Apache 2.0 open-source software, with Python and TypeScript SDKs, a CLI, a hosted MCP server and more than 20 supported vector databases.
• ✓On its managed platform Mem0 reports 92.5 on LoCoMo and 94.4 on LongMemEval for its April 2026 algorithm, using under 7,000 tokens per retrieval call.
• ✓Every plan, including the permanently free Hobby plan, allows unlimited end users, and the GitHub repository has 66.1k stars.

Limitations

• –Graph memory, Dream memory consolidation and analytics start at the $249/month Pro plan, Starter includes one project, and on-premise deployment, SSO and audit logs require Enterprise.
• –Content from Hobby plan users may be used to train Mem0's AI models, while Paid Plan data is excluded from training.
• –The Trust Center lists a SOC 2 Type 1 report and a HIPAA self-attestation, both available on request, rather than a SOC 2 Type II report.

Pros

• ✓Temporal knowledge graph automatically tracks how facts change over time. When information is updated or contradicted, Zep invalidates outdated facts while preserving historical context, making it more accurate than vector-only memory systems for complex multi-session agent workflows.
• ✓Zep publishes retrieval accuracy of 94.7% at 155ms on LoCoMo and 90.2% at 162ms on LongMemEval, its own measurements on two industry benchmarks. Single-shot retrieval avoids the slower agentic tool-call loops used by some memory systems.
• ✓Graphiti MCP server gives Claude Desktop, Cursor, and other MCP clients persistent knowledge graph memory across sessions. Python, TypeScript, and Go SDKs with webhook support and no agent framework lock-in, backed by named enterprise customers including Samsung, Zscaler and HoneyBook.

Limitations

• –Steep pricing jump from free tier (10,000 credits per month for prototyping) to Flex at $125 per month ($104 annual) with no intermediate tier. Early-stage teams that outgrow free credit limits face a significant cost increase with no middle-ground option.
• –Credit-based pricing makes costs difficult to forecast at production scale. Episodes consume 1 credit per 350 bytes, and paid plans auto-purchase more credits whenever the balance falls below 20% - Flex adds 10,000 credits at $25, Flex Plus 40,000 at $75 - so monthly spend is not capped.
• –Self-hosted Graphiti requires Docker, FalkorDB or Neo4j, and LLM API key management. The managed Memory MCP Server removes that setup but is metered in per-account MCP seats that vary by plan, and custom OIDC and UserGroup ABAC require the Enterprise plan.