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Maximem Synap

The fastest, most accurate memory layer for AI agents

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maximem.ai
收录记录创建时间
2026年9月26日
记录最后更新
2026年9月26日

条目包含的信息

  • 概述
  • 5 项核心功能
  • 3 个使用场景

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Maximem Synap preview

Maximem Synap 是什么

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.

核心功能

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

使用场景

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

创业公司为什么需要这个工具?

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.

常见问题