Blog·Author
Dhravya Shah.
Founder of Supermemory. Building AI memory infrastructure and context engineering tools. 19-year-old founder based in San Francisco.
- I reverse-engineered Instinct's memory. Here's exactly how it worksInstinct keeps its memory as git-tracked markdown files, found with grep rather than vectors. Here is the whole system as far as black-box probing can reconstruct it, and how to rebuild it on supermemory in about 60 lines.
- Supermemory vs Mem0 — Features, Benchmarks and EvaluationCompare Supermemory and Mem0 using documented capabilities, benchmark methodology, deployment options and a workload-specific cost model.
- An update to supermemoryWe've discontinued the supermemory company brain and Nova. Everyone who was charged has been refunded, our MCP and plugins continue to run, and we're going all in on the memory engine.
- Hermes Agent Memory with SupermemoryConfigure the Hermes memory provider, inspect capture and recall, and separate work and personal context with explicit container settings.
- Mem0 Alternatives — How to Compare Memory SystemsEvaluate Supermemory, Zep, Letta, Cognee and a custom memory stack against your data, lifecycle, hosting and migration requirements.
- Migrating from Mem0 to Supermemory: A Production PlaybookA production migration playbook for moving from Mem0 Platform to Supermemory: map identity boundaries, backfill memories, validate retrieval, cut over gradually, and keep rollback possible.
- OpenCode Memory with the Supermemory PluginAdd external capture and recall alongside OpenCode rules. Verify repository scope, cross-client access, privacy controls and lifecycle behavior.
- Supermemory vs Cognee — Memory Features and Deployment Trade-offsCompare documented Supermemory and Cognee capabilities, including managed hosting, multimodal input, memory operations and evaluation methodology.
- Scaling Conversations: How Adapta Grew Usage Without Losing ContextAdapta 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 SupermemoryChatarmin 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 accurateWe 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.
- 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.
- Dear reader, we just made supermemory insanely cheap... the Context CloudWhen 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.
- OpenClaw Memory Problems: Why It Forgets and How to Fix It (2026)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.
- Supermemory for Claude CodeUse the Supermemory plugin alongside Claude Code’s native instructions and memory. Verify capture, recall, project scope and changes across sessions.
- 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.
- AI's next big thing: personalization and (super)memory.A perspective on useful AI personalization, with the boundaries between retrieval, changing facts, profiles and durable memory made explicit.
- Supermemory raises $3 million with the best memory engine for LLMsToday, 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.
- Mem0 vs Supermemory: Why Scira SwitchedScira AI moved its production memory layer from Mem0 to Supermemory. This is what failed, what improved, and how the team evaluated the two systems.
- Unified Memory That Works Where You Work: Your Second Brain With SupermemoryHi 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.
- Supermemory just got faster on PlanetScaleWhat 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.
- 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.
- The Wow Factor of Memory - How Flow Used Supermemory To Build Smarter, Stickier ProductsOverview: 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.
- The UX and technicalities of awesome MCPsLast 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.
- Architecting a memory engine inspired by the human brainLanguage 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.