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# Catch up with our UNFORGETTABLE Launch Week

By Shardul Mane January 4, 2026 · 3 min read 

![Supermemory header reading "Catch up on Unforgettable Launch Week" — A spiral-bound December calendar with weekday columns and dates](https://supermemory.ai/_astro/cover.BpoAJZeD_1E9Y6V.webp)

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 focused on one goal -

**Make memory simpler, faster, more accessible and available wherever AI lives.**

And instead of announcing ideas, we shipped things you can use today.

Below is a recap of what went live, and why it matters.

## memorybench - a standard way to evaluate AI memory

We kept building internal benchmarking rigs. So did our users.  
Everyone was duplicating effort, and still comparing incompatible results.

memorybench changes that.

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> <https://twitter.com/DhravyaShah/status/2003961035204841722>

GitHub: [github.com/supermemoryai/memorybench](https://github.com/supermemoryai/memorybench)

## New connectors: GitHub, S3, and Web Crawler

Your context doesn’t live in one place. Neither does Supermemory.

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> <https://twitter.com/supermemory/status/2004261846761853124>

These sit alongside Notion, Google Drive, and OneDrive, which many of you already rely on.

Context shouldn’t be siloed. Now it isn’t.

Docs: [supermemory.ai/docs/connectors/overview](https://supermemory.ai/docs/connectors/overview)Access in console:[console.supermemory.ai/login](https://console.supermemory.ai/login)

## Conversations endpoint - cheaper, smarter conversations

Most LLM providers bill you for every token processed, even when nothing new is happening.

Our conversations endpoint now processes only the new tokens while keeping full context.

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> <https://twitter.com/DhravyaShah/status/2004692033378844796>

That means:

* lower cost
* more consistent conversations
* fewer “I forgot” moments

Docs: [supermemory.ai/docs](https://supermemory.ai/docs)

## Hybrid Search - where memory meets retrieval

Memory alone isn’t always enough. Retrieval alone isn’t either.

Hybrid Search blends the two, improving context quality by 10–15 percent with a single toggle. No migrations or rewrites required, just better answers.

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> <https://twitter.com/DhravyaShah/status/2004702876074213425>

Learn more: [supermemory.ai/docs/search/examples/mem…](https://supermemory.ai/docs/search/examples/memory-search#hybrid-search-mode)

## Stateful coding agents (opencode plugin)

Traditional coding agents degrade over time. As threads grow, they forget earlier context and repeat themselves.

The Supermemory opencode plugin makes agents stateful. They learn in real time, maintain project awareness, and adapt across sessions.

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> <https://twitter.com/supermemory/status/2005030082063257765>

For our own team, this changed the way we build software.

GitHub: [github.com/supermemoryai/opencode-super…](https://github.com/supermemoryai/opencode-supermemory)

## Embeddable Memory Graph

People like seeing how their knowledge connects.

We made the Supermemory graph embeddable so developers can include that same interactive visualization inside their own products. One component, fully customizable, integrated directly into the user experience.

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> <https://twitter.com/supermemory/status/2005484719987970455>

Docs: [supermemory.ai/docs/memory-graph/overvi…](https://supermemory.ai/docs/memory-graph/overview)

## code-chunk - chunking built for code

Most text splitters weren’t designed for code. They break logic, functions, and structure — which leads to poor recall.

code-chunk is AST-aware and splits at the right boundaries. In our evaluation, that improved recall by 28 points.

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> <https://twitter.com/supermemory/status/2005743094600458467>

Docs: [supermemory.ai/blog/building-code-chunk…](https://supermemory.ai/blog/building-code-chunk-ast-aware-code-chunking/)GitHub: [github.com/supermemoryai/code-chunk](https://github.com/supermemoryai/code-chunk)

## MCP 4 - memory that travels with you

We believe users should control their memory, not platforms.

MCP 4 allows Supermemory context to work across tools like ChatGPT, Claude, Windsurf, and others, using an open Model Context Protocol server.

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> <https://twitter.com/DhravyaShah/status/2006191872817987700>

No lock-in. Memory that moves with you.

## The Supermemory Startup Program

We’ve benefited from communities and programs that supported us early. Now we want to extend that same support to the next wave of builders.

The Supermemory Startup Program offers:

* $1,000 in credits
* dedicated guidance from our team
* simple setup
* six months to build and iterate

We’ve already seen founders move from idea to working product dramatically faster once memory stops being the bottleneck.

Apply: [binary.so/eQvzzEk](https://binary.so/eQvzzEk)Read our blog: [supermemory.ai/blog/empowering-the-next…](https://supermemory.ai/blog/empowering-the-next-generation-of-founders-supermemory-startup-program/)

## Nova - our consumer app returns

We are bringing our VIRAL consumer app back! Say hello to NOVA.

A personal memory companion designed to help individuals organize, recall, and make sense of their knowledge across tools.

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> <https://twitter.com/DhravyaShah/status/2006509078093423020>

Join the waitlist: [supermemory.ai/consumer](https://supermemory.ai/consumer)

## Where we’re headed

Every launch in Unforgettable Launch Week was built around these principle

> Memory should be reliable.  
> It should be accessible.  
> And it should exist everywhere AI operates.

Whether you’re experimenting, scaling, or building something entirely new, our goal is to give you memory infrastructure that stays out of the way - while quietly powering everything beneath it.

Thanks for being part of this journey. There is a lot more coming.

## Other posts.

1. [We're open sourcing the company brain. Here's how we designed the multiplayer harness Company Brain is now open source. A walkthrough of the multiplayer harness behind its Slack experience, from proactivity and memory boundaries to approvals and recovery. NewsSep 25, 2026 ](https://supermemory.ai/blog/open-sourcing-company-brain)
2. [Jev changes a lot in memory & context engineering. Here's exactly how. We tested Jev across reranking, chunking, observation, and harness decisions. Here is where fast decision models help memory systems, where they cost more, and where they still fall short. EngineeringSep 24, 2026 ](https://supermemory.ai/blog/jev-memory-context-engineering)
3. [I reverse-engineered Instinct's memory. Here's exactly how it works Instinct 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. EngineeringSep 20, 2026 ](https://supermemory.ai/blog/reverse-engineering-instinct-memory)
4. [An update to supermemory We'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. NewsSep 10, 2026 ](https://supermemory.ai/blog/an-update-to-supermemory)
5. [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. Case StudyJun 12, 2026 ](https://supermemory.ai/blog/adapta-scaling-conversations)
6. [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%. Case StudyJun 10, 2026 ](https://supermemory.ai/blog/chatarmin-memory-only)
7. [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. EngineeringMay 28, 2026 ](https://supermemory.ai/blog/smfs-making-agentic-retrieval-55-cheaper-and-more-accurate)
8. [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. EngineeringMay 25, 2026 ](https://supermemory.ai/blog/introducing-dynamic-dreaming-supermemory-now-connects-the-dots-for-you)
9. [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. EngineeringMay 18, 2026 ](https://supermemory.ai/blog/dear-reader-we-just-made-supermemory-insanely-cheap-the-context-cloud)
10. [Introducing @supermemory/tools v2.0.0 Today we're releasing v2.0.0\. This release unifies the API across all agents sdk integrations from AI SDK to Mastra, makes conversation identity a first-class concept, and ships with memory saving on by default. EngineeringApr 27, 2026 ](https://supermemory.ai/blog/introducing-supermemory-tools-v2-0-0)
11. [Solving the Precision-Recall Tradeoff: Search Result Aggregation When you're building memory for AI, search is your foundational layer. The way search generally works is straightforward: the user defines a query, and then sets a limit (top-K) on how many search results they want returned. Usually, this is set to 10 or 20. EngineeringApr 5, 2026 ](https://supermemory.ai/blog/solving-the-precision-recall-tradeoff-search-result-aggregation)
12. [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. EngineeringFeb 19, 2026 ](https://supermemory.ai/blog/why-everyone-is-complaining-about-openclaws-memory-it-sucks-and-why-supermemory-fixes-it)
13. [Stateful Coding Agents with Memory: Build Long-Running Agents (2026) 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. EngineeringFeb 18, 2026 ](https://supermemory.ai/blog/infinitely-running-stateful-coding-agents)
14. [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. EngineeringJan 28, 2026 ](https://supermemory.ai/blog/clawd-molt-bots-memory-sucks-we-gave-it-supermemory)
15. [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. NewsDec 31, 2025 ](https://supermemory.ai/blog/empowering-the-next-generation-of-founders-supermemory-startup-program)
16. [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. EngineeringDec 29, 2025 ](https://supermemory.ai/blog/building-code-chunk-ast-aware-code-chunking)
17. [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. NewsOct 6, 2025 ](https://supermemory.ai/blog/supermemory-raises-3-million-and-building-the-best-memory-engine-for-llms)
18. [Mem0 vs Supermemory: Why Scira Switched Scira AI moved its production memory layer from Mem0 to Supermemory. This is what failed, what improved, and how the team evaluated the two systems. Case StudyOct 2, 2025 ](https://supermemory.ai/blog/why-scira-ai-switched)
19. [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. Case StudyAug 21, 2025 ](https://supermemory.ai/blog/never-record-again-how-montra-uses-supermemory-to-rethink-video-creation)
20. [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. EngineeringJul 25, 2025 ](https://supermemory.ai/blog/unified-memory-that-works-where-you-work-your-second-brain-with-supermemory)
21. [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. EngineeringJul 18, 2025 ](https://supermemory.ai/blog/supermemory-just-got-faster-on-planetscale)
22. [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. NewsJul 9, 2025 ](https://supermemory.ai/blog/faster-smarter-reliable-infinite-chat-supermemory-is-context-engineering)
23. [We solved AI API interoperability One API to rule them all, One spec to find them, One library to bring them all and in the TypeScript, bind them. When we were building the Infinite Chat API, initially, we only supported the OpenAI format. This was fine, until a lot of our customers started asking for more. EngineeringJul 7, 2025 ](https://supermemory.ai/blog/we-solved-ai-api-interoperability)
24. [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. Case StudyJun 14, 2025 ](https://supermemory.ai/blog/the-wow-factor-of-memory-how-flow-used-supermemory-to-build-smarter-stickier-products)
25. [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. EngineeringJun 8, 2025 ](https://supermemory.ai/blog/the-ux-and-technicalities-of-awesome-mcps)
26. [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. EngineeringJun 5, 2025 ](https://supermemory.ai/blog/memory-engine)

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