supermemory

Learning

How To Build A RAG Based Chatbot: Complete Guide For March 2026

Building a RAG based chatbot means connecting vector databases, embedding APIs, LLM providers, document loaders, and your actual data sources into a pipeline that retrieves the right context before generating answers. Get any piece wrong and your chatbot either hallucinates confidently or returns nothing useful. You need to make decisions

Learning

AI Memory for Customer Support Agents: How to Build Solutions That Actually Remember

Your agents spend more time hunting for information than helping customers. Every ticket means jumping between Zendesk, Salesforce, Slack, and internal wikis to reconstruct what happened. Digital workers switch contexts 1,200 times daily, but for support teams it's worse because you're rebuilding the same customer

Learning

Vector Databases vs AI Memory - Here's all you need to know!

When people ask about AI memory versus vector databases, they're usually asking the wrong question. It's like comparing a search engine to a brain. Vector databases excel at one thing: finding semantically similar content. Memory systems do something completely different: they maintain context, understand relationships, and

Learning

How to Auto-Sync Notion to an AI Agent Without Reindexing

Full reindexing is killing your AI agent's performance. Someone adds a row to a Notion database, and you're regenerating embeddings for 10,000 pages that didn't change. Auto-sync Notion to AI agents without reindexing means webhook-driven incremental updates that propagate changes in seconds. Your

Learning

Context Memory 101: How AI Memory Systems Actually Work

You ask your AI agent about authentication bugs on Monday and get solid help. Thursday you mention the same issue again and the agent acts like it's the first time hearing about it because LLMs are stateless and most context-dependent memory systems only do retrieval without tracking session

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

Incident report: March 6, 2026

Details of the March 6, 2026 service degradation at Supermemory — root cause analysis, timeline, and steps taken to prevent future incidents.

Infinitely running stateful coding agents

We built a plugin for Claude Code and OpenCode that gives your coding agent persistent memory. It remembers your preferences, learns your codebase, and never loses context mid-conversation. The result is an agent you can run for months without starting over. Here's how it works, in the order

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 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

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.

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

Learning

Should You Build Your Own AI Memory System?

“Why would I use Supermemory when I can just build memory myself?” Fair question. It’s also the classic build vs buy argument, and if you’re an engineer, your default instinct is usually correct: If something is core to your product, you should consider building it. But here’s

News

Catch up with our UNFORGETTABLE Launch Week

Over the last year, one belief has guided almost everything we’ve built at Supermemory AI becomes meaningfully useful only when it remembers. Memory shouldn’t be something developers rebuild from scratch. It shouldn’t be fragile, expensive, or trapped inside a single tool. So during Unforgettable Launch Week, we

News Featured

Empowering the Next Generation of Founders: Supermemory Startup Program

If there’s one thing we’ve learned while building Supermemory, it’s that most startups don’t fail because they didn't build features; they fail when infrastructure slows them down, or they built too slow. Modern AI teams are forced to solve the same problem again and

Engineering

Building code-chunk: AST Aware Code Chunking

At Supermemory, we're building context engineering infrastructure for AI. A huge part of that is dealing with code: ingesting repos, understanding structure, and making it searchable. The problem is that most code chunking solutions are terrible. We built code-chunk to fix this. It's now the best

Learning

Matryoshka Representation Learning: The Ultimate Guide & How We Use It

Embeddings are the cornerstone of any retrieval system. And the larger the embeddings, the more information they can store. But large embeddings require a lot of memory, which leads to high computational costs and latency. To reduce this high cost, we can use models that produce embeddings with small dimensions,

Incident Report: October 18, 2025 Service Degradation

Details of the October 18, 2025 service degradation at Supermemory — root cause analysis, timeline, and steps taken to prevent future incidents.

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

News Featured

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 many

Case Study Featured

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, built

Case Study

Never Record Again: How Montra Uses Supermemory to Rethink Video Creation

Campbell Baron, the founder of Montra, has been making videos since he was twelve. By thirteen, he was already doing brand work. Today, he’s betting on a very different future for creators: a world where recording is the exception, and most videos are generated from scratch. Montra’s vision

Build Your Own Perplexity in 15 Minutes With Supermemory

Supermemory has a fascinating open-source tool called OpenSearchAI. It's essentially a search assistant similar to Perplexity, but it remembers everything you've searched for and enriches future responses with that memory. I thought to myself, “This seems cool. But how complicated is it to build something like

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

Building an AI Compliance Chatbot With Supermemory and Google Drive

Contract compliance reviews are a serious drain on time and focus. It’s a repetitive process that takes away from actual legal thinking, and the workflow is absolutely broken. Files live in different places. You’re never sure if you’re reading the latest version. And no one has time