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.
Maximem Synap
The fastest, most accurate memory layer for AI agents
Maximem Synap 介绍
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
典型使用场景
- Adding long-term memory to conversational AI agents
- Maintaining context across multi-step agent workflows
- Building stateful assistants on frameworks like LangChain and LangGraph
为什么适合初创团队
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
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.
