Supermemory
Claude Code forgets your preferences and codebase every session. Here
Supermemory launched on July 21, 2024 with 689 votes, #31 of 5,184 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Supermemory is an AI-powered hub designed to organize and retrieve saved bookmarks and information from across the internet. It serves productivity-focused users who accumulate digital content but struggle to utilize it effectively. The platform includes a search engine, writing assistant, and canvas tool to help users access and work with their saved materials more efficiently.
written from the facts on this page · September 2026
From the sources
You've been collecting bookmarks on the internet for all this while- it's finally time to use them. Supermemory is a hub for organizing and utilizing saved information, with a search engine, writing assistant, canvas and more.
Agents need memory. supermemory is building the default engine for memory and continual learning for agents.
The path to useful AI is to scale in-context continuous learning that works with any model, any harness , and for all the varieties of use cases. As open-source model adoption grows and the world becomes even more multi-model , learning and memory should be separated from the model providers and be highly interoperable (hence in-context!). Pre-training and post-training, scaling on data and compute, will continue to push models’ intelligence, but will not enable them to learn and improve in real time. We build all the hard infrastructure parts of a scalable memory system, with dense, interconnected, growing learnings , and an understanding of time. Our model learner-1 helps any model…from supermemory.ai
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AgentmemoryMay 2026 · agent-memory.dev · ▲310Persistent memory for Claude Code, Codex & coding agents
YourMemoryApr 2026 · yourmemoryai.vercel.app · ▲93This is a project that I have been building for a while now, YourMemory is a solution to agentic memory which focuses on pruning of noise rather than hoarding of data. In the current state of agentic memory most of the context is stored in the form of a MD file or is derived through a RAG model where you store each and everything. Both of the solution leads to bloated context which does not optimize the usage of any tokens. In this system we only keep relevant data in our memory and prune all the unnecessary data. The relevance of a data is derived through multiple factors such as recall…
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Many years ago, I made VJ softwares (to mix live visuals in clubs) for unexpected platforms like the Game Boy Advance, the Playstation 2 and the Raspberry Pi. This year, I’m back with a new web-app: Pikimov. Inspired by Photopea (a free Photoshop clone), I created this web-based motion design & video editor as an alternative to After Effects, to fill empty void. It's free, without signup, without cloud uploads (your files stay on your machine), and your projects are not used for AI models training.
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