Dhravya Shah
Scaling Conversations: How Adapta Grew Usage Without Losing Context
Adapta added Supermemory as a persistent memory layer so every conversation keeps its context — letting the team scale usage without losing the thread.
How Chatarmin Ditched RAG and Went Memory-Only with Supermemory
Chatarmin replaced a heavy RAG pipeline with Supermemory's memory layer — cutting average AI response time from 40s to 12s and token usage by 40–50%.
SMFS: making agentic retrieval 55% cheaper AND more accurate
We launched SMFS.ai (Supermemory Filesystem) a few weeks ago, with a simple bet: We can redesign the filesystem specifically for agents, with special files, structures, and commands that it can use for it's tasks. Today, SMFS is used by hundreds of companies to power their agents. TLDR: You can rea
Introducing Dynamic Dreaming: supermemory now connects the dots, for you.
Dreaming is magical. TLDR: We're launching Dynamic Dreaming in supermemory today, which automatically works if you're using supermemory in any way - API, OpenClaw, Hermes agent, etc. We (humans) dream to condense and reflect on our thoughts, not only things that happened today, but a weird blend o
Dear reader, we just made supermemory insanely cheap... the Context Cloud
When I first started building supermemory, I had one goal: To build the best memory system for AI. I would talk to customers, and find out that memory was not the only thing they needed - They were all setting up 7-8 different vendors at the same time. Memory, Retrieval, Profiles, reranking, embedd
Supermemory vs Zep: Which Memory Solution Wins in April 2026?
Fair warning: I'm the founder of Supermemory, so I'm obviously biased here. But I'm going to be as honest as I can. We get asked about Zep a lot. It's a solid project, their Graphiti engine is genuinely interesting work. But every time someone comes to us after trying Zep, the story is the same: th
What Is Vector Search? A Founder's Guide to ML-Powered Search in April 2026
You've swapped keyword search for because exact matching breaks when users rephrase questions. "Why is my app slow" now matches performance debugging docs even with zero shared keywords, synonyms work for free, paraphrasing stops mattering. But production agents need more than semantic retrieval: th
We broke the frontier in agent memory: To prove a point.
Read the follow up here! https://x.com/DhravyaShah/status/2036243995500966260?s=20 TLDR: This was a big social experiment that we did to create a new standard for reporting memory system’s quality. It was a parody. A few months ago, we published our first research report showing Supermemory achi
Why everyone is complaining about OpenClaw's memory (it sucks) - and why supermemory fixes it.
TLDR: Today, we are releasing a new version of our openclaw plugin - https://github.com/supermemoryai/openclaw-supermemory. This post is going to be a bit technical, so bear with me (or bookmark for later!) In this post, I will talk about what we do about OpenClaw memory, and how we fix it. BENCH
We added supermemory to Claude Code. It's INSANELY powerful now...
Today, we are launching the Supermemory plugin for Claude Code! TLDR: You can use supermemory in claude code now. - https://github.com/supermemoryai/claude-supermemory Claude code has genuinely changed how I work. But there's this one thing that drives me crazy... Every day, I have to explain the
Clawd / Molt bot's memory SUCKS. We gave it supermemory.
I'm the founder of supermemory. Clawd/Molt bot is blowing up right now, with many, many use cases. I set it up, too, and have been using it through telegram. TLDR: just go to https://supermemory.ai/docs/integrations/clawdbot to set up supermemory for your clawd bot. However, me and some other fri
AI's next big thing: personalization and (super)memory.
You are probably thinking of AI memory in the wrong way. Over the last few years, we've all seen a lot of absolutely world-changing trends in AI. Things that totally changed the way we interact with computers today. The first one was data (models start getting smarter), then it was inference (every
How To Make Your MCP Clients Share Context with Supermemory MCP
Let’s get practical here: have you ever dropped a PDF into Cursor, then pasted the same content into Claude just to “remind it”? Or tried to follow up on a thread, only to realize the memory lives in a different tool? It’s annoying. It breaks your flow. And worse, it ruins your results. That’s beca
Supermemory raises $3 million with the best memory engine for LLMs
Today, I am excited to announce our first funding round to accelerate our mission of building an interoperable, scalable and reliable memory for LLMs and agents. Memory is one of the hardest challenges in AI right now. We have really intelligent models (Claude, GPT-5, etc) and tools (Cursor, and ma
Mem0 vs supermemory: Why Scira AI Switched And What's Better For You?
“Mem0 was not great. Glad to have found supermemory” That’s how Zaid Mukaddam, founder of Scira AI, summed up his team’s first attempt at adding memory to their product. Latency was unbearable, indexing was unreliable, and it simply didn’t scale. Scira is an open-source Perplexity alternative, bui
Unified Memory That Works Where You Work: Your Second Brain With Supermemory
Hi everyone, I’m Dhravya, the founder of Supermemory. I want to start with a little story behind why this product means so much to me. You can also skip straight to what it is and how it works below. Anyways, when I started Supermemory one year ago, we were a consumer app that acted like a second
Supermemory just got faster on PlanetScale
What is Supermemory? Supermemory completes the missing part of the LLM puzzle: memory. Just as memory is crucial for human intelligence, it's essential for truly intelligent AI systems. We've built a portable memory engine that works seamlessly across different LLMs through multiple interfaces, inc
Faster, smarter, reliable infinite chat: Supermemory IS context engineering.
People are obsessed with prompts and prompt engineering. Sure, what you say is important, but what the model knows when you say it is the difference between a stateless text generator and an intelligent AI system. In short, context is the most crucial component. Karpathy’s viral tweet called it out
The Wow Factor of Memory - How Flow Used Supermemory To Build Smarter, Stickier Products
Overview: Flow is a note-taking app built around a bold vision: to create a more personal, context-aware writing experience powered by AI. At the heart of this mission is memory. Flow uses Supermemory as a persistent memory layer, enabling users to ask questions about any of their notes, retrieve ke
The UX and technicalities of awesome MCPs
Last month, we launched the Supermemory MCP, mostly to test our own infrastructure and get some initial traction. It blew up. To my absolute surprise, the initial launch itself got half a million impressions (!!!). Then, we launched and got #2 on ProductHunt too. Seems like people absolutely loved
Architecting a memory engine inspired by the human brain
Language is at the heart of intelligence, but what truly powers meaningful interaction is memory — the ability to accumulate, recall, and contextualize information over time. Large Language Models (LLMs) have mastered language, but memory remains their Achilles’ heel. Every leap in context window s