Supermemory Engineering

SMFS: making agentic retrieval 55% cheaper AND more accurate

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:

Introducing Dynamic Dreaming: supermemory now connects the dots, for you.

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

Dear reader, we just made supermemory insanely cheap... the Context Cloud

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,

Introducing @supermemory/tools v2.0.0

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. What's new in v2.0.0: * Unified config-object API * customId: required

supermemory will make your Hermes-agent crazy powerful

supermemory will make your Hermes-agent crazy powerful

Today, we are launching supermemory support to your Hermes agent TLDR: you can use supermemory now in your Hermes agent, it totally free to get started - https://supermemory.ai/docs/integrations/hermes In case you missed it: Hermes Agent is a self-improving AI agent from Nous Research. It meets

Building code-chunk: AST Aware Code Chunking

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

The UX and technicalities of awesome MCPs

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 the concept

Architecting a memory engine inspired by the human brain

Engineering Featured

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 size is quickly outpaced by real-world demands: