Your agents are only as smart as what they remember.

Maximem Synap gives them the memory to turn a demo into a product.

ACCURACY OVER A LONG CONVERSATIONPRODUCTION ZONE · ≥ 90%DEMOPRODUCTIONas the conversation grows →context window only93.2%LoCoMo

Trusted by builders at

  • NVIDIA
  • IIT Delhi
  • Razorpay
  • Aiden
  • UC Santa Cruz
  • TruCommerce
  • Agno
  • IIT Roorkee
  • ClearVUE
  • HandaUncle
  • BITS Pilani
  • Hector AI
  • helllo
  • Unpaved

Supported by

  • NVIDIA Inception Program
  • Google for Startups
  • Neo4j
  • Cloudflare
  • Powered by AWS

AWS is a trademark of Amazon.com, Inc. or its affiliates.

What is Maximem?

Maximem builds the memory layer that keeps your data encrypted, even from us — so the agents you build and the AI you use can finally remember.

Maximem Synap

For organizations and development teams

The context management stack for the AI agents you build.

  • Persistent memory + anticipatory retrieval
  • Entity resolution + knowledge pipelines
  • 92% LongMemEval · 93.2% LoCoMo accuracy

Maximem Vity

For power users and AI enthusiasts

A secure personal context layer that follows you everywhere.

  • Private cloud vault, encrypted by default
  • Remembers preferences, work history & tasks
  • Carries context across every AI you use

01The problem

Why memory, and why the alternatives fall short.

Bigger context windows do not fix it. Vector search is not it. Files do not scale, and the platforms will not own it for you. We answer the eight loudest objections to agent memory, with proof.

Read the case for memory →

02Benchmarks

How Synap compares

The quick snapshot, measured on the same open-source LongMemEval harness.

 SynapMem0ZepSupermemory
LongMemEval92%57.5%63.8%71.3%
P50 retrieval latency15ms180msNot published220ms
Entity resolutionAutomatic, every tierPro tier onlyAutomaticFact extraction
See the full comparison →

The difference between a demo and a product is memory.