MemU: Let AI Memorize You
Hi HN, We’ve been building memU(https://github.com/NevaMind-AI/memU), an open-source, general-purpose memory framework for AI agents. It supports dual-mode retrieval: classic RAG and LLM-based direct file reading. Most multimodal memory systems either embed everything into vectors or treat non-text data as attachments. These work, but at scale it becomes hard to explain why certain context was retrieved and what evidence it relies on. memU takes a different approach: since models reason in language, multimodal memory should converge into structured, queryable text, while…
MemU: Let AI Memorize You launched on August 8, 2025 with 11 votes, #1,601 of 8,530 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
MemU is an AI tool designed to learn and remember details about users over time. It stores information from interactions to create a personalized profile, allowing the AI to reference past conversations and preferences in future exchanges. The product is for anyone seeking a more continuity-aware AI assistant that adapts to their individual communication style and history. It stands out by focusing on persistent memory capabilities rather than treating each conversation as isolated.
written from the facts on this page · September 2026
From the sources
Personal memory across agents. Contribute to NevaMind-AI/memU development by creating an account on GitHub.
In the maker’s words, at launch
You can think of it as a memory toolbox. Memory is stored not only as vectors, but also as readable natural language, so everything you save remains visible. When needed, the system retrieves relevant memories and makes them available for reasoning.
Does a similar job
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Mem0 – open-source Memory Layer for AI apps2024 · github.com · ▲201Hey HN! We're Taranjeet and Deshraj, the founders of Mem0 (https://mem0.ai). Mem0 adds a stateful memory layer to AI applications, allowing them to remember user interactions, preferences, and context over time. This enables AI apps to deliver increasingly personalized and intelligent experiences that evolve with every interaction. There’s a demo video at https://youtu.be/VtRuBCTZL1o and a playground to try out at https://app.mem0.ai/playground. You'll need to sign up to use the playground – this helps ensure responses are more tailored to you by…
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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…
Lossless-memory – a personal AI memory that never summarizesSep 2026 · github.com · ▲67Lossless long-term memory for a personal AI: never summarize, keep every line, put a timestamp on everything. - aru-labs/lossless-memory
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