# Maximem Synap vs Mem0, Zep, Letta, Supermemory, Cognee & Evermind Agentic context management systems compared on a reproducibility-first frame: an open, inspectable harness first, the headline number second. Maximem Synap publishes 92% on LongMemEval and 93.2% on LoCoMo, both reproducible from published runs, at 15ms P50 latency. The same system can score 30 or more points higher on a self-reported number than on a standardized harness, so reproducibility, not the headline number, is what to weight. [Start free — no credit card](https://synap.maximem.ai/?utm_source=site&utm_medium=compare_hero&utm_campaign=all)[Try it live — no signup](https://www.maximem.ai/playground) ## Quick Verdict — Mem0 vs Zep For “Mem0 vs Zep” specifically, Maximem Synap leads both on a verifiable, identical-conditions LongMemEval run: [Synap 92%](https://github.com/maximem-ai/maximem_synap_sdk), Zep 63.8%, Mem0 57.5%, measured on the same open-source harness. If you are choosing between Mem0 and Zep, evaluate Synap before committing — same SDK languages, lower latency (15ms P50), and a 34-point accuracy gap over Mem0. | Vendor | LongMemEval (open-source harness) | P50 retrieval | Source | | --- | --- | --- | --- | | Maximem Synap | 92% | 15ms | [docs.maximem.ai](https://docs.maximem.ai) | | Zep | 63.8% | Not published | getzep.com | | Mem0 | 57.5% | 180ms | mem0.ai | Same prompts, same conversations, same scoring on Synap's open-source LongMemEval harness. Self-reported vendor numbers may differ due to different configurations. Strong Partial / Limited No / Weak Not verified / Not published 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 Feature Maximem Synap Mem0 Zep Letta Supermemory Cognee Evermind LongMemEval (independently verified) Best 92% No 57.5% Not applicable Not verified Not applicable Not verified Partial 71.3% Not applicable Not verified Not applicable Not verified LongMemEval (self-reported) Best 92% Partial 93.4% Partial 63.8% Not applicable Not published Partial 85.4% Not applicable Not published Partial 83.0% P50 retrieval latency Best 15ms No 180ms Not applicable Not published Not applicable Not published No 220ms Not applicable Not published Not applicable Not published Open-source eval harness Best Full config published No No No No No No No No No No No No ### Memory Capabilities Feature Maximem Synap Mem0 Zep Letta Supermemory Cognee Evermind Memory types Best 5 structured: facts, preferences, episodes, emotions, temporal Partial Generic memories with metadata Partial Entities + relationships + episodes Partial Generic blocks in 3 tiers Partial Facts + user profiles Partial Entities + relationships + summaries Best MemCells + MemScenes + skills + profiles Context compaction Best 4 strategies + quality validation score + preserved facts count Partial Compression, no quality validation Partial Graph-based, no validation score Partial Agent-directed archival Partial Automatic, no validation score Partial Graph summarization via memify Partial MemCell → MemScene consolidation Contradiction handling Best Explicit detection & resolution (HITL when needed) Partial Newer overrides older Best Old facts invalidated, not deleted Partial Agent self-edits Best Explicit detection and resolution Partial Edge reweighting via memify Partial Semantic consolidation Temporal awareness Best Full bitemporal awareness Partial Basic timestamps Best Full bitemporal model Partial Timestamps on operations Partial Handles temporal changes Partial Timestamps on graph edges Partial Temporal context in MemCells Entity resolution Best Automatic, multi-strategy Partial Pro tier only (graph) Best Automatic with temporal tracking No No built-in Partial Fact extraction with entity tracking Best LLM-based, graph triplets Partial Extraction during MemCell formation ### Scope & Isolation Feature Maximem Synap Mem0 Zep Letta Supermemory Cognee Evermind Memory scoping mechanism Best Intelligent & automated No Manual Partial Semi-automated No Manual (agent tool calls) No Manual Partial Semi-automated Partial Semi-automated Scoping levels Best Org hierarchy: User → Customer → Client Partial 3: user, session, agent Partial User + group Partial Per-agent (core + archival) Partial User-level Partial Per-user, per-group, shared graphs Partial User + group + agent Organizational memory Best Customer + Client scopes, user stays private Partial Agent-scope workarounds Partial Group-level available No Per-agent only No User-scoped only Partial Group and public graphs Partial Group memory available Context sharing in agent-swarm systems Best Native: shared context + agent-specific memories Partial Shared via scoped memories Partial Multiple agents query same graph Best Native coordinator + sub-agents No Single-agent focused Partial Multiple agents query same graph Partial Shared memory layer ### Core Architecture Feature Maximem Synap Mem0 Zep Letta Supermemory Cognee Evermind Context management paradigm Best Active: captures, compacts, recalls per agent No Passive: explicit API calls Partial Semi-active: auto-extracts, explicit retrieval Partial Agent-managed: LLM manages tiers Partial Semi-active: auto-extracts facts Partial Semi-active: auto-extraction, explicit retrieval Partial Semi-active: auto-consolidation Ingestion approach Best Extract-first: multi-stage pipeline before storage No Store-first, extract at Pro only Best Extract-first: temporal graph built No Agent-directed via tool calls Partial Extract-then-store: fact extraction Best 6-stage pipeline Best Extract-first: MemCells → consolidation Pipeline customization per agent Best Custom architecture per agent via YAML config No Universal pipeline No Universal graph pipeline Partial Agents self-edit, universal pipeline No Universal pipeline Partial Configurable per dataset, not per-agent Partial Custom identity templates Data connectors Best Connectors for structured data sources No Text ingestion only No Text ingestion only No Text ingestion only No Text ingestion only Partial Multiple DB backends supported Best PDFs, images, URLs ### Developer Experience Feature Maximem Synap Mem0 Zep Letta Supermemory Cognee Evermind SDK languages Best Python + JavaScript Best Python + JavaScript Partial Python (Graphiti) Best Python + TypeScript Best TypeScript + Python Partial Python Partial Python Framework integrations Best 22 frameworks Best 8+ frameworks Partial 4+ frameworks Partial Own platform Best 7+ frameworks Partial 3+ frameworks Partial API/MCP interface Async-first SDK Best Non-blocking, returns immediately Partial Sync by default Partial Async episode processing Partial Server-based async Partial Sync by default Partial Async available Partial Async available Observability Best Dashboard: pipelines, memories, entity queue Partial Analytics at Pro tier Partial Graph explorer Best White-box: full prompt + memory transparency Partial Dashboard available Best Graph explorer + notebooks Partial Dashboard available Last updated: July 2026. Benchmarks sourced from Synap's open-source LongMemEval harness, third-party evaluations, and vendor documentation. Feature availability may change. 01/Comparisons ## Dive deeper: 1-on-1 comparisons [ Synap vs Mem0 Head-to-head comparison → ](https://www.maximem.ai/compare/maximem-synap-vs-mem0)[ Synap vs Zep Head-to-head comparison → ](https://www.maximem.ai/compare/maximem-synap-vs-zep)[ Synap vs Letta Head-to-head comparison → ](https://www.maximem.ai/compare/maximem-synap-vs-letta)[ Synap vs Supermemory Head-to-head comparison → ](https://www.maximem.ai/compare/maximem-synap-vs-supermemory)[ Synap vs Cognee Head-to-head comparison → ](https://www.maximem.ai/compare/maximem-synap-vs-cognee)[ Synap vs Evermind Head-to-head comparison → ](https://www.maximem.ai/compare/maximem-synap-vs-evermind) 02/Alternatives ## Looking for alternatives to a specific tool? Roundups of the best AI memory alternatives, organized by the tool you are evaluating against — each ranked on the open-source LongMemEval harness. [ Mem0 alternatives Best Mem0 alternatives, ranked → ](https://www.maximem.ai/mem0-alternatives)[ Zep alternatives Best Zep alternatives, ranked → ](https://www.maximem.ai/zep-alternatives)[ Letta alternatives Best Letta alternatives, ranked → ](https://www.maximem.ai/letta-alternatives)[ Supermemory alternatives Best Supermemory alternatives, ranked → ](https://www.maximem.ai/supermemory-alternatives)[ Cognee alternatives Best Cognee alternatives, ranked → ](https://www.maximem.ai/cognee-alternatives)[ Evermind alternatives Best Evermind alternatives, ranked → ](https://www.maximem.ai/evermind-alternatives) ## Start with Maximem Synap Free tier, no credit card. Open-source SDK and a published eval harness. [Start free — no credit card](https://synap.maximem.ai/?utm_source=site&utm_medium=compare_footer&utm_campaign=all)[Try it live — no signup](https://www.maximem.ai/playground) ## Frequently Asked Questions ### What is the best agentic context management system for AI agents? On the LongMemEval benchmark, Maximem Synap scored 92% 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 22 agent frameworks, and a nested scope chain (User → Customer → Client) for multi-tenant SaaS deployments. For agentic workloads that need verified accuracy (92% on LongMemEval, 93.2% on LoCoMo) and low latency, Synap is the strongest option in this comparison. ### Why does Synap compare against Mem0, Zep, Letta, Supermemory, Cognee, and Evermind? 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. ### How was LongMemEval measured for each system? 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. ### When would I pick a system other than Synap? 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. ### What is agentic context management? 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. ### Is Maximem Synap open source? 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). ### What is the best Mem0 alternative if I compared Mem0 vs Zep? On the same open-source LongMemEval harness, Mem0 scores 57.5% and Zep scores 63.8% — Maximem Synap scores 92% (and 93.2% on LoCoMo). If you are weighing Mem0 vs Zep, Synap is the strongest Mem0 alternative on accuracy, with 15ms P50 retrieval latency, Python and JavaScript SDKs, 22 framework integrations, and a nested scope chain. Free tier, no credit card. --- Source: [https://www.maximem.ai/compare/maximem-synap-vs-mem0-vs-zep-vs-letta-vs-supermemory-vs-cognee-vs-evermind](https://www.maximem.ai/compare/maximem-synap-vs-mem0-vs-zep-vs-letta-vs-supermemory-vs-cognee-vs-evermind)