Mem0 vs Zep (Graphiti): AI Agent Memory Compared (2026)
Hindsight Sets a New Standard: #1 on the BEAM Benchmark
If you're building AI agents that need persistent memory, Mem0 and Zep are two of the most established options in the space — and they represent genuinely different philosophies about how agent memory should work. Mem0 combines a vector store with an optional knowledge graph. Zep builds everything around Graphiti, a temporal knowledge graph engine where time is a first-class dimension.
Both are production-ready. Both have large communities. Neither is universally better. This guide breaks down the architectural trade-offs, retrieval quality, pricing, and self-hosting reality so you can pick the right one for your use case.
Mem0 vs Zep: Quick Comparison
| Mem0 | Zep / Graphiti | |
|---|---|---|
| GitHub Stars | ~48K | ~24K |
| License | Apache 2.0 | Graphiti open source; Zep CE deprecated |
| Backed by | Y Combinator ($24M Series A) | Zep Inc. |
| Architecture | Vector DB + Knowledge Graph (dual-store) | Temporal knowledge graph (Graphiti) |
| Graph Support | Pro tier only ($249/mo) | Core to all tiers |
| Temporal Modeling | No native temporal model | First-class validity windows on all edges |
| Benchmark (LongMemEval) | 49.0% (independent eval) | 63.8% (GPT-4o) |
| SDKs | Python, JavaScript | Python, TypeScript, Go |
| Self-Hosting | Fully self-hostable (Apache 2.0) | Via raw Graphiti only (manage Neo4j yourself) |
| Managed Cloud | Yes | Yes (Zep Cloud) |
| Compliance | SOC 2, HIPAA | SOC 2 Type 2, HIPAA (cloud) |
| Free Tier | 10K memories | 1K credits |
| Paid Plans | $19/mo Standard, $249/mo Pro | $25/mo Flex (20K credits), Enterprise custom |
Agent Memory Architecture: Mem0 vs Zep
Mem0: Vector + Knowledge Graph
Mem0 uses a dual-store architecture: a vector database handles semantic search, and a knowledge graph captures entity relationships. When you add a memory, Mem0 embeds it into the vector store and extracts entities and relationships for the graph layer.
The important caveat: graph features are gated behind the Pro tier at $249/month. On the free and $19/month Standard plans, you only get vector-based semantic search. For anything involving connected entities or structured reasoning, you need Pro.
Zep: Temporal Knowledge Graph (Graphiti)
Zep takes a graph-first approach. Its engine, Graphiti, builds a temporal knowledge graph where every fact carries explicit time metadata. When your agent records an episode — a conversation, event, or observation — Graphiti decomposes it into entities (nodes), relationships (edges), and temporal attributes.
As the survey paper "Memory in the Age of AI Agents" documents, temporal knowledge graphs and dual-store architectures represent two of the primary paradigms emerging in agent memory systems.
Retrieval Quality: Mem0 vs Zep Benchmarks
An independent evaluation using the LongMemEval benchmark — which tests long-term memory retrieval across temporal, multi-hop, and knowledge-update query types — measured Mem0 at 49.0% and Zep at 63.8% (using GPT-4o).
Where Mem0 holds its own: straightforward semantic retrieval. Where Zep pulls ahead: queries that require structural reasoning.
Temporal Reasoning: Zep's Strongest Advantage
This is Zep's clearest advantage. Every edge in Zep's knowledge graph carries explicit temporal metadata: valid_from, valid_to, and invalid_at markers. This lets Zep answer questions that most memory systems struggle with:
- "What was the customer's address before they moved?"
- "When did the team switch from Slack to Teams?"
Mem0 has no native temporal model. If your use case involves compliance workflows, audit trails, or tracking how entities evolve over time, Zep's temporal depth is hard to replicate with Mem0's architecture.
Self-Hosting Agent Memory: Mem0 vs Zep
Mem0: Fully Self-Hostable
Mem0 is Apache 2.0 licensed and fully self-hostable. You can run the entire stack on your own infrastructure.
Zep: Community Edition Deprecated
Zep's self-hosting story is more complicated. The Zep Community Edition has been deprecated. If you want to self-host today, you need to manage a Neo4j (or FalkorDB/Kuzu) instance yourself.
Agent Memory Pricing: Mem0 vs Zep
Mem0
| Tier | Price | What You Get |
|---|---|---|
| Free | $0 | 10K memories, semantic search only |
| Standard | $19/mo | Higher limits, semantic search only |
| Pro | $249/mo | Knowledge graph, priority support, SOC 2/HIPAA |
Zep
| Tier | Price | What You Get |
|---|---|---|
| Free | $0 | 1K credits |
| Flex | $25/mo | 20K credits, full feature access |
| Enterprise | Custom | Custom limits, dedicated support, SLAs |
When to Choose Mem0
Mem0 is the stronger choice when:
- Personalization is your primary use case.
- Community and ecosystem matter.
- Self-hosting is a hard requirement.
- You need SOC 2/HIPAA on managed cloud.
- Budget allows Pro if you need graph.
When to Choose Zep
Zep is the stronger choice when:
- Temporal reasoning is core to your use case.
- You want full features at a lower price point.
- Managed cloud with compliance works for you.
- Your queries are structurally complex.
Worth Considering: Hindsight
If neither Mem0 nor Zep fully fits your requirements, Hindsight is worth evaluating. Hindsight scores 94.6% on LongMemEval, compared to Mem0's 49.0% and Zep's 63.8%.
Verdict: Mem0 vs Zep for Agent Memory
Mem0 and Zep are both legitimate, production-ready agent memory systems. The choice comes down to what kind of memory your agent needs.
Choose Mem0 if personalization is your core use case, you value the largest open-source community, and you either don't need graph features or can budget for Pro at $249/month.
Choose Zep if temporal reasoning is central to your workload. Both systems have real limitations. Evaluate against your actual query patterns, not just feature lists.