Launching today
Maximem Synap
The fastest, most accurate memory layer for AI agents
106 followers
The fastest, most accurate memory layer for AI agents
106 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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Impressive Benchmarks! Super solid stuff @Maximem Synap @gaurav_ships
Maximem Synap
@priyanka_agarwal22 Thanks Priyanka. We strive to keep making these numbers better while reducing costs.
CreateOS
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!
Maximem Synap
@mrudul_gole Thanks Mrudul!
Been seeing the journey of Maximem for a while now and it's no surprise that the product is stellar. Congratulations on the launch!
Maximem Synap
@astharattan Thank you so much Astha for all your help along the way!
ShotoAI
super cool product, better accuracy than mem0, exactly what i was looking for
Maximem Synap
@whatsuppiyush Thanks Piyushh!
Maximem Synap
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.
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?
Maximem Synap
@umang147 Thanks Umang!
We support on-prem deployment for teams that want to self-host.
We also support teams using their own data-stores while using the rest of our application hosted at our end.
Dial
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
Maximem Synap
@galdayan Great question, Gal!
It is a variety of signals triangulated to assess this. The details are proprietary so unfortunately I can't share more about it at the moment.
Also just like humans, we remember and forget but can be reminded again what was forgotten.