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Maximem Synapvs Supermemory

Supermemory combines RAG and memory in a single query. Maximem Synap is the agentic context management system that scored 90.2% on LongMemEval where Supermemory scored 71.3%, on the same harness.

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

Head-to-Head Comparison

Feature
Maximem Synap
Supermemory
LongMemEval (independently verified)
Best 90.2%
Partial 71.3%
LongMemEval (self-reported)
Best 90.2%
Partial 85.4% (third-party)
P50 retrieval latency
Best 15ms
No 220ms
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 facts, explicit retrieval
Ingestion approach
Best Extract-first: multi-stage pipeline
Partial Extract-then-store: fact extraction
Pipeline customization per agent
Best Custom architecture per agent via YAML
No Universal pipeline
Data connectors
Best Connectors for structured data sources
No Text ingestion only
Memory types
Best 5 structured: facts, preferences, episodes, emotions, temporal
Partial Facts + user profiles
Context compaction
Best 4 strategies + quality validation score
Partial Automatic, no validation score
Contradiction handling
Best Explicit detection & resolution (HITL when needed)
Best Explicit detection and resolution
Temporal awareness
Best Full bitemporal awareness
Partial Handles temporal changes
Entity resolution
Best Automatic, multi-strategy
Partial Fact extraction with entity tracking
Memory scoping mechanism
Best Intelligent & automated
No Manual
Scoping levels
Best 4-level: User → Customer → Client → World
Partial User-level
Organizational memory
Best Customer + Client scopes
No User-scoped only
Context sharing in agent-swarm systems
Best Native: shared context + agent-specific memories
No Single-agent focused
SDK languages
Best Python + JavaScript
Best TypeScript + Python
Framework integrations
Best 10 frameworks
Best 7+ frameworks

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 Supermemory

The accuracy gap is measurable and reproducible.

On the same LongMemEval harness, Synap scored 90.2% and Supermemory scored 71.3% — an 18.9-point difference, measured with the same hardware, same conversations, same scoring. The eval harness is open-source. Anyone can verify these numbers.

Latency is a different order of magnitude.

Supermemory runs at 220ms P50. Synap runs at 15ms P50. For voice agents inside a 300ms total budget, Supermemory consumes the entire budget before the LLM generates a single token. Synap leaves 285ms for the rest of the pipeline.

Per-agent customization versus universal pipeline.

Supermemory applies the same pipeline to every agent and every domain. Synap builds a custom context architecture per agent via YAML configuration. A customer support agent extracts different knowledge than a sales assistant, and their pipelines reflect that.

Context sharing across agent swarms.

Supermemory is single-agent focused with user-level scoping. If you are building a system where multiple agents serve the same customer, or where organizational knowledge needs to be accessible across agents while keeping individual user memories private, Supermemory does not have a native path for that. Synap's 4-level scope chain and native context sharing handle these patterns architecturally.

Where Supermemory has the edge.

Supermemory is SOC 2 and HIPAA certified, which matters for regulated industries. It offers TypeScript and Python SDKs, a self-hostable open-source version, and explicit contradiction detection and resolution. Supermemory's combined RAG-plus-memory approach means you do not need a separate retrieval pipeline for document search and memory search. If compliance certifications are a hard requirement today, Supermemory is further along on that front.

Benchmark note: LongMemEval scores were measured on Synap's standardized harness. Same hardware, same prompts, same conversations, same scoring. The eval harness is open-source.

Ready to evaluate Synap against Supermemory?

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

Frequently Asked Questions

Yes, for agentic workloads. On the same LongMemEval harness Synap scored 90.2% versus Supermemory's 71.3%, at 15ms P50 retrieval latency versus 220ms. Synap is purpose-built for multi-agent context management with 4-level scope isolation; Supermemory is single-agent focused with user-level scoping.

Synap focuses on agentic context management (conversations, entity resolution, temporal awareness, scope isolation). If you need combined RAG-plus-memory over mixed document and conversation content, Supermemory bundles both. If you need high-accuracy, low-latency context for multi-agent systems, Synap is the better fit.

Synap is built with enterprise-grade security (encryption at rest, strict data isolation, compliance-ready architecture) and offers enterprise deployment options. For current certification status, contact [email protected].