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AI's memory. On your machine, under your control
本地控制AI记忆的开源项目，每次写入需你批准，杜绝无声隐私窃取。
Article URL: https://github.com/EXXETA/exxperts Comments URL: https://news.ycombinator.com/item?id=48884002 Points: 1 # Comments: 1
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Show HN: Memory Magico – CLI based memory, wiki and deterministic sprints
厌倦GitHub issues和Mira？这款CLI工具将memory、wiki与确定性sprint管理合体，让你高效追踪长sprint和bug排查，并让agent负责到底。
hey, I got tired of using GitHub issues and Mira to manage sprints and issue tracking so this is a tool I have been using for a while in a few of my p…
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Efficient and accurate neural-field reconstruction using resistive memory
突破性硬件AI：用电阻式存储器实现高效精确的神经场重建，Nature发布。
Nature, Published online: 10 June 2026; doi:10.1038/s41586-026-10646-w A co-optimized AI hardware–software system using resistive-memory computing imp…
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How I Gave My AI Agent a Real Memory Without Touching Its Internals
不触碰AI内部结构，用Memory Sidecar三层架构给智能体添上持久记忆，版本3.1.1稳定可靠。
As someone who runs multiple AI agents for day-to-day tasks, I kept hitting the same wall: every new conversation was a total memory wipe. I'd ask my …
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Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving
LLM解优化问题常陷多范式歧义，DCM-Agent双簇记忆机制精准破解，值得技术研究者关注。
arXiv:2604.20183v2 Announce Type: replace Abstract: Large Language Models (LLMs) often struggle with structural ambiguity in optimization problems, wh…
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eMoT: evolving Memory-of-Thought via Symbolic Anchoring and Memory Corrosion
一种新记忆进化机制eMoT，通过符号锚定与记忆腐蚀，在数学推理任务中实现17.6%准确率提升，Game of 24达100%。
arXiv:2606.02054v1 Announce Type: new Abstract: While Large Language Models (LLMs) achieve impressive performance on multi-step reasoning tasks, their…
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Memory Architectures for Multi-Turn Text-to-SQL: A Benchmark and Empirical Study
多轮对话中记忆架构如何影响Text-to-SQL性能？基准与实证研究揭示关键设计差异。
arXiv:2605.26394v1 Announce Type: new Abstract: Multi-turn Text-to-SQL is central to enterprise analytics yet remains predominantly evaluated in singl…
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Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
提出Evo-Memory基准，全面评估LLM Agent通过自演化记忆进行测试时学习的能力。
arXiv:2511.20857v2 Announce Type: replace Abstract: Statefulness is essential for large language model (LLM) agents to perform long-term planning and …
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Exact Linear Attention
线性注意力机制迎来精确化突破，三大工程创新解决梯度退化与特征流动难题
arXiv:2605.18848v1 Announce Type: new Abstract: This paper introduces Exact Linear Attention (ELA), a mechanism that achieves linear computational com…
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The Blind Witness: AI observer with fu
一个API配置故障意外揭示AI架构的核心悖论：五名AI同时运行，其中一位目睹一切却无法记住任何。这不仅是技术故障，更是对“可信任观测者”的重新定义——真正的安全，来源于遗忘的必然性。
Article URL: https://theairtgroup.com/blind-witness.html Comments URL: https://news.ycombinator.com/item?id=48165725 Points: 1 # Comments: 0
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AI Memory Reader – Native macOS app for browsing Claude Code memory files
一款原生macOS/iOS应用，专门用于浏览AI代理（如Claude Code）的记忆文件。支持Markdown渲染、编辑、搜索和AI工具集成，让管理AI记忆变得高效直观。
Article URL: https://github.com/nvwalj/ai-memory-reader Comments URL: https://news.ycombinator.com/item?id=48164406 Points: 3 # Comments: 0
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EP215: The Anatomy of an AI Agent
AI Agent 的本质是一个 while 循环：LLM 不再只是写文字，而是做决策。拆解其核心组件——大脑（LLM）、规划、工具、记忆，让你一眼看清智能体如何从模糊目标到清晰行动。
An AI agent can be thought of as a simple While-loop.
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PREPING: Building Agent Memory without Tasks
破除智能体记忆构建的“冷启动”困境——无需任何目标任务经验，仅靠Proposer引导的自生成合成任务，就能构建高效的程序性记忆。成本比在线构建降低2-3倍，性能却不输传统playbook方法。
arXiv:2605.13880v1 Announce Type: new Abstract: Agent memory is typically constructed either offline from curated demonstrations or online from post-d…