{"id":59161,"date":"2026-10-17T11:41:02","date_gmt":"2026-10-17T03:41:02","guid":{"rendered":"https:\/\/www.1ai.net\/?p=59161"},"modified":"2026-10-17T11:41:02","modified_gmt":"2026-10-17T03:41:02","slug":"%e8%85%be%e8%ae%af%e6%b7%b7%e5%85%83%e5%bc%80%e6%ba%90-hy-memory-2-0%ef%bc%8c%e8%ae%b0%e5%bf%86%e6%a8%a1%e5%9e%8b%e3%80%81%e6%a1%86%e6%9e%b6%e4%b8%8e%e5%ba%94%e7%94%a8%e4%b8%80%e5%b9%b6%e5%bc%80","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/59161.html","title":{"rendered":"Hy Memoory 2.0, memory model, frame and application"},"content":{"rendered":"<p>The news of October 17th<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%85%be%e8%ae%af%e6%b7%b7%e5%85%83\" title=\"[View articles tagged with [Tencent Hybrid]]\" target=\"_blank\" >Tencent Hunyuan<\/a>It was published on October 16th<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e5%bc%80%e6%ba%90\" title=\"[View articles tagged with [open source]]\" target=\"_blank\" >Open Source<\/a>MemHub application. Three layers of capability can be used independently and can be combined: the model is responsible for memory reading and writing, the framework manages the storage, updating and recall of memory, and MemHub will access different AI tools\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-59162\" title=\"9226974fj00tn18v9004wd000u000s2m\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/10\/9226974fj00tn18v9004wd000u000s2m.jpg\" alt=\"9226974fj00tn18v9004wd000u000s2m\" width=\"1080\" height=\"1010\" \/><\/p>\n<p>The framework adds working and code memory to the chat memory, recording mission objectives, identified practices, stage results, and reusable experiences and conditions of application. The code scene also saves the evolution trajectory of the version. As the mandate continues, the system first determines which thing is being dealt with and then recovers the relevant decisions, the experience still applicable and the historical process\u3002<\/p>\n<p>MemHub provides a CLI and Mac desktop application that connects 10 AI tools such as WorkBuddy, Cursor, Codex, OpenCode, etc. User-authorized association applications allow for the import of historical sessions, the continuous synchronization of additions and, through plugins, the transfer of relevant memories back to the tool in use; access to sources and the provision of separate authorization for other tools\u3002<\/p>\n<p>The dedicated model Hy-Memory-30B-A3B uses approximately 3B activated parameters for long-term memory extraction, writing and conflict management training. The open source for Hy Memory and MemHub uses the Apache 2.0 license\u3002<\/p>","protected":false},"excerpt":{"rendered":"<p>On October 17th, the information mixer was released on October 16th with Hy Memory 2.0, along with a dedicated open source memory model, memory frame and MemHub application. Three layers of capability can be used independently and can be combined: the model is responsible for memory reading and writing, the framework manages the storage, updating and recall of memory, and MemHub will access different AI tools. The framework adds working and code memory to the chat memory, recording mission objectives, identified practices, stage results, and reusable experiences and applicable conditions. The code scene also saves the evolution trajectory of the version. As the mandate continues, the system first determines which thing is being dealt with and then recovers the relevant decisions, the experience still applicable and the historical process. MemHub provides CLI and<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[219,2657],"collection":[],"class_list":["post-59161","post","type-post","status-publish","format-standard","hentry","category-news","tag-219","tag-2657"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/59161","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=59161"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/59161\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=59161"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=59161"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=59161"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=59161"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}