Mem0 vs Zep: Which is Better in 2026?
A comprehensive comparison of Mem0 and Zep covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Mem0 if:
- →You want more affordable paid plans (from $19/mo)
- →You need persistent memory across sessions and across agents or unlimited end users on every tier including free
Choose Zep if:
- →You need temporal context graph tracks facts as they change over time or ingests chat history, business data and user behaviour
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Mem0 vs Zep: At a Glance
Pricing Comparison: Mem0 vs Zep
Understanding the pricing differences between Mem0 and Zep is crucial for making the right choice. Here's how their plans compare side by side.
Mem0 Pricing
Zep Pricing
💡 Pricing takeaway: Both Mem0 and Zep offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Mem0 and Zep stacks up.
What Makes Each Tool Unique
🔵 Unique to Mem0
Features available in Mem0 but not in Zep:
- ✓Persistent memory across sessions and across agents
- ✓Unlimited end users on every tier including free
- ✓Separate metering for add and retrieval requests
- ✓Graph memory with entity linking on Pro
- ✓Dream memory consolidation keeps stored memory accurate
- ✓Open source with 62k+ GitHub stars, self-hostable
🟣 Unique to Zep
Features available in Zep but not in Mem0:
- ✓Temporal context graph tracks facts as they change over time
- ✓Ingests chat history, business data and user behaviour
- ✓Sub-200ms retrieval latency
- ✓Open-source Graphiti core with 20k+ GitHub stars
- ✓Published LoCoMo and LongMemEval benchmark results
- ✓SOC 2 Type II, HIPAA BAA and VPC deployment
Use Case Recommendations
Best for: Mem0
Mem0 is drop-in memory infrastructure for AI agents and applications: a hosted layer that stores what a user said and preferred, keeps it across sessions and across separate agents, and returns it as context on the next call. It is one of the most widely adopted open-source projects in this category, with over 62,000 GitHub stars, which matters practically because the self-hosted path is a real option and the API surface has been exercised by a large number of implementations rather than a handful. The billing model reflects how memory systems are actually used and is a useful contrast with per-token pricing: plans meter add requests and retrieval requests separately, with retrieval allowances roughly a tenth of add allowances, because agents write memories far more often than they read them back. End users are unlimited on every tier including the free one, so a consumer app with a large user base and light per-user memory is not penalised for its user count. Higher tiers add graph memory with entity linking, which moves the product from flat fact storage toward relationship-aware retrieval, and Dream, the company's memory consolidation feature that keeps stored memory accurate as it grows rather than accumulating contradictory entries. Multi-project support, advanced analytics and private Slack support arrive at Pro; on-prem deployment, audit logs, SSO and custom integrations at Enterprise.
Ideal use cases:
- •Teams or individuals who need persistent memory across sessions and across agents
- •Teams or individuals who need unlimited end users on every tier including free
- •Teams or individuals who need separate metering for add and retrieval requests
- •Teams or individuals who need graph memory with entity linking on pro
- •Anyone focused on agent-memory workflows
- •Anyone focused on open-source workflows
Best for: Zep
Zep is a managed memory layer for AI agents built on temporal context graphs rather than a vector store with a similarity search bolted on. The distinction matters for the failure it addresses: an agent that retrieves the most semantically similar past message will happily surface a fact that was true six months ago and has since been superseded. Zep's graph tracks facts across time, so a superseded fact is recorded as superseded rather than silently competing with the current one, and it ingests chat history, business data and user behaviour into the same structure. The open-source foundation, Graphiti, crossed 20,000 GitHub stars in under twelve months, which gives the approach a public implementation to inspect rather than only a marketing claim. Around the graph sit the Context Lake and the Context Graph Engine, with sub-200ms retrieval quoted as the latency budget — the number that decides whether a memory layer can sit in the request path of a conversational agent at all. The company publishes benchmark results on LoCoMo and LongMemEval, the two standard long-running-agent memory benchmarks, rather than asserting quality. Compliance is SOC 2 Type II with a HIPAA BAA available, and deployment can be Zep's cloud or your own VPC. Self-serve plans are credit-metered with 30-day rollover and auto top-up, and the company offers enterprise terms at emerging-company pricing for funded startups.
Ideal use cases:
- •Teams or individuals who need temporal context graph tracks facts as they change over time
- •Teams or individuals who need ingests chat history, business data and user behaviour
- •Teams or individuals who need sub-200ms retrieval latency
- •Teams or individuals who need open-source graphiti core with 20k+ github stars
- •Anyone focused on agent-memory workflows
- •Anyone focused on knowledge-graph workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Mem0 and Zep aren't the only options. Here are other popular tools in the same space:
SuperAGI
Open-source autonomous AI agent framework with visual dashboard — 14K GitHub stars
MetaGPT
Multi-agent AI framework simulating software teams — 45K GitHub stars, builds full apps from prompts
Cerebras
Fastest LLM inference powered by the Wafer Scale Engine.
Scale AI
AI data platform for training data and model evaluation.
Roboflow
End-to-end computer vision platform for developers.
Labelbox
Enterprise data labeling platform for ML training datasets.
Is one of these your tool?
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Frequently Asked Questions
Is Mem0 better than Zep?
It depends on your needs. Mem0 offers 6 key features including Persistent memory across sessions and across agents and Unlimited end users on every tier including free, while Zep provides 6 features including Temporal context graph tracks facts as they change over time and Ingests chat history, business data and user behaviour. Mem0 uses a freemium model with a free tier, while Zep is paid with free access available. Choose based on which features and pricing model align with your requirements.
Is Mem0 cheaper than Zep?
Mem0 is cheaper, starting at $19/month compared to Zep's $125/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Mem0 and Zep together?
Yes, many users combine Mem0 and Zep in their workflow. Mem0 excels at persistent memory across sessions and across agents, while Zep shines with temporal context graph tracks facts as they change over time. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Mem0 and Zep?
While both are ai agent infrastructure tools, Mem0 emphasizes persistent memory across sessions and across agents, whereas Zep is known for temporal context graph tracks facts as they change over time. The best choice depends on your specific workflow and feature priorities.
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