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  5. Show HN: We built a cheaper, simpler 24/7 proactive agent than moltbot (memu.bot)

    We’ve been experimenting with what a real *“always-on” proactive agent* could look like, and built one called *memUbot*. It runs 24/7 in the background, keeps track of what you do, and builds long-term memory from it.…

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  9. GitHub PR Challenge (memu.pro)
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  10. Show HN: Store whatever you decide to remember (github.com)

    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…

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  11. Show HN: File-base agent memory framework, like Claude's skills (github.com)

    AI memory systems often become a black box. When an LLM produces a wrong answer, it’s unclear whether the issue comes from storage, retrieval, or the memory itself. Most systems rely on RAG and vector storage, which…

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  12. Show HN: Unified multimodal memory framework, without embeddings (github.com)

    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…

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