Maximem Synap

The fastest, most accurate memory layer for AI agents

Maximem Synap Introduction

Maximem Synap is memory and context infrastructure for AI agents, designed so conversations and workflows don't start from zero each time. According to its listing, it achieves 92% on LongMemEval and 93.2% on LoCoMo with sub-15ms P75 recall, handling entity resolution, temporal reasoning, and multi-level scoping automatically without requiring a separate vector database or ranker. It integrates natively with frameworks including LangChain, LangGraph, and the Claude Agent SDK, and offers a free tier.

Key Features

Persistent memory layer so AI agents retain context across conversations
Automatic entity resolution, temporal reasoning, and multi-level memory scoping
Fast in-conversation retrieval with sub-15ms P75 recall (per published benchmarks)
No vector database or ranker tuning required
Native integrations across agent frameworks including LangChain, LangGraph, and the Claude Agent SDK

Use Cases

Adding long-term memory to conversational AI agents
Maintaining context across multi-step agent workflows
Building stateful assistants on frameworks like LangChain and LangGraph

Why Startups Use It

Startups building AI agents can add production-grade memory and context handling without building and maintaining their own retrieval infrastructure, using drop-in integrations with popular agent frameworks.

Frequently Asked Questions

What does Maximem Synap do?

It provides memory and context management infrastructure for AI agents, allowing them to retain and recall information across conversations and tasks.

Does Synap require setting up a vector database?

No. The product handles entity resolution, temporal reasoning, and scoping automatically, with no vector database or ranker to tune.

Is there a free plan?

Yes, the listing mentions a free tier with no credit card required.

More About Maximem Synap

Pricing

Paid

Listed Date

Sep 26, 2026

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