❯ Tencent opens Hy-Memory 2.0 to share personal memory across 10 AI tools

An open three-layer stackTencent Hunyuan open-sourced Hy-Memory 2.0 on October 16, including a specialized memory model, a management framework and the MemHub application. It covers chat, work and coding. MemHub connects 10 tools, including Cursor and Codex, importing historical conversations into local memory and synchronizing new ones so preferences and task context can travel between applications.

Remembering progress and reasonsChat memory organizes scattered information into events; working memory records goals, intermediate results and the conditions under which lessons apply; coding memory preserves decisions and reasons for changes. Users can resume in another tool or on another day without explaining every detail again. Tencent says the framework is used in its stock-information app, iWiki and Tencent News, including archiving old preferences when users change their interests.

Specialized evaluationTencent reports first place among open frameworks on four benchmarks. Its Hy-Memory-30B-A3B model uses about three billion active parameters and averages 55.49 across four memory systems, versus 54.62 for Opus5. These are memory-specific results, not a general capability ranking. Practical value also depends on updating stale facts, retrieving the right context and giving users authorization and deletion controls. Shared memory increasingly resembles a continuing data service.

▮ SIGNALMemory shared across tools can reduce repeated explanations if updating, retrieval and user control work together.