Agent memory and context
Provides memory infrastructure so an AI agent can retain context across conversations.
Coding / product dossier
Adds persistent memory to AI agents, with entity resolution and temporal reasoning.
Product brief
Maximem Synap is memory and context infrastructure for AI agents, so every conversation does not start from zero. It is the fastest and most accurate memory system on public benchmarks, 92% on LongMemEval and 93.2% on Locomo, with sub-15ms P75 recall. It handles entity resolution, temporal reasoning, and multi-level scoping automatically, no vector database or ranker to tune. Native across 22 frameworks including LangChain, LangGraph, and the Claude Agent SDK. Free tier, no credit card required.
Why we selected it
Provides agent memory infrastructure with entity resolution, temporal reasoning and integrations across 22 frameworks. Oracle's recent agent-memory announcement makes the use case especially timely.
Product preview saved with our daily selection
Capability scan
Only capabilities supported by the product information we collected are listed here.
Provides memory infrastructure so an AI agent can retain context across conversations.
Handles entity resolution within agent memory.
Handles temporal reasoning and multi-level scoping automatically.
Supports 22 frameworks, including LangChain, LangGraph, and the Claude Agent SDK.
Best-fit use cases
FAQ
It provides memory and context infrastructure for AI agents across conversations.
Its description lists entity resolution, temporal reasoning, and multi-level scoping.
LangChain, LangGraph, and the Claude Agent SDK are named among 22 supported frameworks.
Yes. Its description states that a free tier is available without a credit card.