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Maximem Synap
The fastest, most accurate memory layer for AI agents
29 followers
The fastest, most accurate memory layer for AI agents
29 followers
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.
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Launch Team / Built With
Maximem Vity for OpenClaw
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.
@gaurav_ships Glad to see LangGraph support right out of the box, congrats for launch
Maximem Synap
Hello Product Hunt, I'm Anish, Founding Engineer at Maximem AI
If you’re building AI agents and have reached the point where managing context is becoming a problem of its own, you should definitely give Synap a try.
What looks simple at first gets surprisingly complicated once you have multiple sessions, users, entities, changing information and a lot of context to deal with.
That’s exactly the problem we built Synap to solve.
It’s live today with a free tier, so go give it a shot and let us know what you think
PixelApps
I came across Maximem when I read about the Agentic Context Management Paper you guys wrote.
Your technique of solving for memory is very thoughtful and mature to work in various production workloads.
Great on benchmarks, great in real life results. I am a happy customer of your product!
Tried maximem while i was exploring factual memory for agent harness, so far havent found anything close to its quality and accuracy.
Maximem Synap
Hello PH, Shreyansh this side, Founding Engineer in Maximem.
Trust me, if you're building any voice agent, and you've already spent some time building your own context/memory management stack, just check out Maximem Synap once.
We have especially kept voice ai companies in mind while building this product. There are no more retrieval calls in the critical path. This is what you want.
Go check it out.
AI Discovery Dashboard
Blown away by the accuracy on the evals!! Solid stuff.
Maximem Synap
@pratik_rajurkar Latency is another thing you should watch for, it impresses every voice ai agent company's founder. Btw thanks for appreciation Pratik !