Maximem Synapvs Mem0, Zep, Letta, Supermemory, Cognee & Evermind
Agentic context management systems compared on verified LongMemEval benchmarks, retrieval latency, memory capabilities, scope isolation, and developer experience. Synap scored 90.2% on the open-source LongMemEval harness at 15ms P50 latency.
Benchmark note: LongMemEval scores labeled "verified" were measured on Synap's standardized harness (same hardware, same prompts, same conversations, same scoring). The eval harness is open-source. Self-reported vendor scores may differ due to different configurations, hardware, or evaluation subsets.
Benchmark Performance
Memory Capabilities
Scope & Isolation
Core Architecture
Developer Experience
Last updated: April 2026. Benchmarks sourced from Synap's open-source LongMemEval harness, third-party evaluations, and vendor documentation. Feature availability may change.
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Frequently Asked Questions
On the LongMemEval benchmark, Maximem Synap scored 90.2% on its open-source standardized harness, versus 57.5% for Mem0 and 71.3% for Supermemory on the same harness. Synap also delivers 15ms P50 retrieval latency, native integrations with 10 agent frameworks, and a 4-level scope chain (User → Customer → Client → World) for multi-tenant SaaS deployments. For agentic workloads that need high-accuracy, low-latency context management, Synap is the strongest option in this comparison.
These six projects represent the major architectural approaches in agentic context management today: Mem0 (the most widely adopted agent memory library), Zep (temporal knowledge graph via Graphiti), Letta (OS-inspired tiered memory with agent self-management), Supermemory (combined RAG + memory), Cognee (knowledge-graph-first with 14 retrieval modes), and Evermind/EverOS (self-evolving memory with multimodal ingestion). Comparing against all six gives a complete picture of the trade-offs in this space.
Scores labeled "independently verified" were measured on Synap's open-source LongMemEval harness with identical hardware, prompts, conversations, and scoring. Self-reported numbers come from vendors running their own evaluations on their own configurations and may differ materially from standardized harness results. Zep's 63.8% was reported by a third party and has not been reproduced on Synap's harness yet.
Pick Mem0 for the largest community and simplest memory API. Pick Zep for a mature bitemporal knowledge graph with VPC deployment. Pick Letta for fully open-source self-hosting with white-box memory transparency. Pick Supermemory for SOC 2 / HIPAA compliance certifications today. Pick Cognee for graph-native retrieval with 14 traversal modes. Pick Evermind for self-evolving skills that learn standard operating procedures over time. Each has a real strength that matters for specific use cases.
Agentic context management is the system that captures, structures, compacts, and recalls context for AI agents across conversations and sessions. It goes beyond storing embeddings: it handles entity resolution, temporal awareness, contradiction detection, scope isolation, and per-agent pipeline customization. Synap is an active context management layer — the system manages context so the agent does not have to.
Yes. Synap's core SDK and the LongMemEval evaluation harness are open source. You can self-host the stack or use the managed platform at synap.maximem.ai with a free tier (no credit card).