SaaS Metrics
Product Positioning & Context
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.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is Maximem Synap?
Maximem Synap is a digital product or tool described as: The fastest, most accurate memory layer for AI agents
Where did Maximem Synap originate?
Data for Maximem Synap was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Maximem Synap publicly launched?
The initial public indexing or launch date for Maximem Synap within our tracked developer communities was recorded on September 24, 2026.
How popular is Maximem Synap?
Maximem Synap has achieved measurable traction, logging over 134 traction score and facilitating 28 recorded discussions or engagements.
Which technical categories define Maximem Synap?
Based on metadata extraction, Maximem Synap is categorized under topics such as: Developer Tools, Artificial Intelligence, GitHub.
What are some commercial alternatives to Maximem Synap?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as MaxClaw by MiniMax, which offers overlapping value propositions.
How does the creator describe Maximem Synap?
The original author or development team describes the product as follows: "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 Long..."
Community Voice & Feedback
Hi AI Devlopers, if you're reading this and thinking whether famous agent frameworks like Langraph, Langchain, CrewAI, Google ADK and many are supported or not. So YES, definitely we have a first-class support for all these frameworks. You name it, we support it. And tbh, if you use these frameworks, the integration becomes less than writing 4-5 lines of code.
super cool product, better accuracy than mem0, exactly what i was looking for
Been following what @gaurav_ships building for a while, and it's great to see Synap out in the open. Memory is the part of agents everyone hand-rolls and then regrets, so a managed layer with real benchmark numbers behind it makes a lot of sense.Congrats on shipping! How are you thinking about self-hosting for teams with strict data rules?
Been seeing the journey of Maximem for a while now and it's no surprise that the product is stellar. Congratulations on the launch!
Congrats, Gaurav and team! Having worked with you on a few cases, I understand how much care goes into getting memory right. Rooting for you!
the "forgets what stops being relevant instead of holding onto it forever" line is the part that matters most to me, most memory-layer pitches only talk about retention and never about active forgetting, even though a memory that never decays just becomes a slower vector store with extra steps. how does Synap decide something has stopped being relevant, is that a recency/access-frequency heuristic or does it need an explicit signal from the app that a fact was superseded
@gaurav_ships evals are the most impressive part of this.
Impressive Benchmarks! Super solid stuff @Maximem Synap @gaurav_ships
Tried maximem while i was exploring factual memory for agent harness, so far havent found anything close to its quality and accuracy.
Hello Product Hunt. I am Gaurav, founder of Maximem.This is our third launch here, after Maximem Wrapped in December and Maximem Vity for OpenClaw in February. Today it is Synap: memory and context infrastructure for AI agents, built so a conversation does not start over every time a session ends.Synap resolves entities across sessions, tracks what is current versus stale, scopes memory from one user up to an entire customer deployment, and forgets what stops being relevant instead of holding onto it forever. On public benchmarks it is the fastest and most accurate memory system available, 92% on LongMemEval and 93.2% on Locomo, and it plugs natively into LangChain, LangGraph, the Claude Agent SDK, and a dozen other agent frameworks.Thank you to Flo Merian for hunting us today. There is a free tier with no credit card required, and I will be around all day for questions on the architecture, the benchmarks, or anything else you want to poke at.
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
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Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.