好问题，这两个点很关键，安装本身不会改写原有 agent 的本地记忆文件；如果发现可导入的历史记忆，会先扫描并征得确认，再进入 EverMe 的结构化抽取/归类流程。 验证上，可以用一条已知历史事实跨 agent/session recall，并在 Memory Hub 里反查 source。如果未来停用，影响的是 EverMe
@elliotchen100
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AI Agent Memory Persistence Across Coding Tools
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To add: The "memory" mentioned here isn't just "chat history." Whether the agent can remember your projects, toolchains, preferences, pitfalls, and reusable practices long-term, and continue using them across Codex / Claude Code / Hermes. If you're working on agent workflows,
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EverMe: AI Agent Memory Integration Tool Launch
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非常激动，EverMe 终于来了，一行命令，2 分钟打通所有端侧记忆，全免费。
— 艾略特 (@elliotchen100) 28 mai 2026
这是我们的旗舰 C 端产品。
登录复制一行命令，给你的 Codex，Claude Code，OpenClaw 或者 Hermes，甚至其他 agents。
便可以打通他们的记忆，跨 sessions，跨 agents。
厉害的是，它不仅仅是文本记忆，而是 agents… https://t.co/L9sI5EI5nAI'm thrilled—EverMe is finally here! One command, 2 minutes to connect all endpoint-side memories, completely free. This is our flagship C-end product. Log in, copy one command, and give it to your Codex, Claude Code, OpenClaw, or Hermes—even other agents. It instantly
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Reunite: AI Matches Fragmented Memories for Family Reunification
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Memory 的用法～
— 艾略特 (@elliotchen100) 25 mai 2026
有人把寻亲做成了一个 memory 匹配的 AI。
孩子记得一首摇篮曲，家长记得一根红丝带，再具体的细节都被时间冲掉了。Reunite 让你把这些碎片就这么存进去，agent 拿你这边的几条 memory，去对另一边走失家庭存的几条 memory。
但市面上寻亲渠道已经一堆了，让 Reunite… https://t.co/XbvPXbuQMkThe Usage of Memory～ Someone turned family reunification into an AI that matches memories. The child remembers a lullaby, the parent remembers a red ribbon, and all other specific details have been washed away by time. Reunite lets you just store these fragments as-is; the
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Chrome Extension Syncs Multi-Platform AI Conversations
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How to Use Memory～ Someone turned the Chrome browser into an inbox for all your AI conversations. Conversations from ChatGPT, Gemini, Claude, DeepSeek, and Grok across all five platforms are synced in real-time to local markdown files. There's an agent hanging in the sidebar
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AI Agents Memory Solutions: Offline Dreaming vs Embedding
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Hive: This project is supported by the @Evermind community, it's really great, highly recommended. CLI agent: Everyone is racing to develop their own memory solutions. Claude Code goes with offline "dreaming" batch processing, Hermes goes with on-site embedding, but they all
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High Demand for Self-Evolving AI Agents Evident in Benchmark Downloads
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This benchmark has already been downloaded 919 times, and in less than a week, the download count has increased by nearly 200, which illustrates two issues: 1. There's a high demand for self-evolving Agents.
2. The level of Twitter friends is quite high, wanting to test it -
Top 6 Claude Code Skills for Newbies, Including Skill-Creator
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bro A new video just dropped, still super dry, still newbie-friendly, highly recommend it here, video link at the end. "I Tried Over 100 Claude Code Skills, These 6 Are the Best". 1. skill-creator Official from Anthropic, usage is straightforward to the max: Let Claude write
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Dense Attention: A Technical Direction in AI Models
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All related to dense attention, can be considered the same direction, with the same approaches.
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Sparse Attention and Large Context Windows: An Industry Shift in AI Models
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确实很酷，拿 2900 万美金做 12M context，
— 艾略特 (@elliotchen100) 5 mai 2026
侧面证明了一件事：整个行业都开始相信稀疏注意力是 dense attention 的解药。
SubQ 走的是「重训一个模型」，属于垂直整合，风险大回报也大。@evermind 的 MSA 走的是「给主流模型加记忆」，属于 水平嵌入，谁的模型都能用。
另外，SubQ API 跟 SubQ… https://t.co/yZ8IugqquAYeah, that's pretty cool—using $29 million to build a 12M context window, which indirectly proves one thing: the entire industry is starting to believe that sparse attention is the antidote to dense attention. SubQ takes the "retrain a single model" approach, which is vertical