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Maximem Synapvs Zep

Zep pioneered temporal knowledge graphs for agent memory with Graphiti. Maximem Synap is the agentic context management system that scored 90.2% on LongMemEval where Zep scored 63.8%, with retrieval at 15ms.

Strong Partial / Limited No / Weak Not verified / Not published

Head-to-Head Comparison

Feature
Maximem Synap
Zep
LongMemEval (independently verified)
Best 90.2%
Not applicable Not verified
LongMemEval (self-reported)
Best 90.2%
Partial 63.8%
P50 retrieval latency
Best 15ms
Not applicable Not published
Open-source eval harness
Best Full config published
No No
Context management paradigm
Best Active: captures, compacts, recalls per agent
Partial Semi-active: auto-extracts, explicit retrieval
Ingestion approach
Best Extract-first: multi-stage pipeline
Best Extract-first: temporal graph built
Pipeline customization per agent
Best Custom architecture per agent via YAML
No Universal graph pipeline
Data connectors
Best Connectors for structured data sources
No Text ingestion only
Memory types
Best 5 structured: facts, preferences, episodes, emotions, temporal
Partial Entities + relationships + episodes
Context compaction
Best 4 strategies + quality validation score
Partial Graph-based, no validation score
Contradiction handling
Best Explicit detection & resolution (HITL when needed)
Best Old facts invalidated, not deleted (audit trail)
Temporal awareness
Best Full bitemporal awareness
Best Full bitemporal model
Entity resolution
Best Automatic, multi-strategy
Best Automatic with temporal tracking
Memory scoping mechanism
Best Intelligent & automated
Partial Semi-automated
Scoping levels
Best 4-level: User → Customer → Client → World
Partial User + group
Context sharing in agent-swarm systems
Best Native: shared context + agent-specific memories
Partial Multiple agents query same graph
SDK languages
Best Python + JavaScript
Partial Python (Graphiti)
Framework integrations
Best 10 frameworks
Partial 4+ frameworks
Async-first SDK
Best Non-blocking, returns immediately
Partial Async episode processing

Last updated: April 2026. Benchmarks sourced from Synap's open-source LongMemEval harness and vendor documentation. Feature availability may change.

Why Teams Choose Maximem Synap Over Zep

Different strengths, different design centers.

Zep and Synap are architecturally distinct. Zep is built around Graphiti, a temporal knowledge graph. Synap is built around a multi-stage ingestion pipeline with per-agent customization. Both systems take extraction seriously, but they optimize for different things.

Synap's accuracy advantage holds on standardized evaluation.

On LongMemEval, Synap scored 90.2%. Zep's reported score is 63.8% from third-party evaluation (not yet verified on Synap's harness). The gap likely stems from how each system handles retrieval at scale. Synap's per-agent pipeline customization means retrieval logic adapts to what matters for a given domain. Zep's universal graph pipeline applies the same traversal strategy regardless of agent type.

Per-agent customization changes production outcomes.

Every agent in Zep uses the same Graphiti pipeline. In Synap, each agent gets a custom context architecture via YAML: storage, extraction, retrieval, and retention settings are tuned per domain. A customer support agent and a voice concierge get different pipelines because they have different context needs.

Latency is published and verifiable.

Synap runs at 15ms P50. Zep does not publish latency numbers. For latency-sensitive use cases, published and verifiable latency is a production requirement.

Where Zep has the edge.

Zep's temporal knowledge graph and bitemporal model are mature. Both Synap and Zep support bitemporal awareness, but Zep's implementation through Graphiti (temporal validity windows, fact invalidation with audit trail) has been in production longer. Zep also offers VPC deployment for teams that need their data in a private cloud environment.

Benchmark note: Zep's LongMemEval score of 63.8% is from third-party reporting. It has not been verified on Synap's standardized harness. We will update this page when independent verification is available.

Ready to evaluate Synap against Zep?

Free tier at synap.maximem.ai. No credit card. Open-source SDK and eval harness.

Frequently Asked Questions

Yes. Both systems take extraction seriously and both support bitemporal awareness, but Synap adds per-agent pipeline customization, published 15ms P50 latency, and a higher independently measured LongMemEval score (90.2% vs 63.8% third-party).

Synap uses a multi-stage extract-first pipeline with entity resolution and temporal awareness, not a single unified knowledge graph. The retrieval logic is customized per agent via YAML configuration rather than applied uniformly across all agents.

Pick Zep if you need a mature temporal knowledge graph with a longer production track record, or if VPC deployment in a specific private cloud environment is a hard requirement today.