Tencent Open-Sources Hy Memory 2.0: 10 AI Tools Share Memory, Even Rolled-Back Code Can Be Traced

Beating AI Express News: Tencent Hunyuan has upgraded Hy Memory to version 2.0, open-sourcing its memory framework, dedicated model, and MemHub app all at once. The 1.0 version launched in May this year focused on chat memory, capable of tracking changes to the same matter, identifying and resolving contradictions, and inferring unstated user habits from multiple conversations. When users adjust their preferences, the system retains old records while remembering the latest decisions. Version 2.0 adds working memory and code memory: it tracks task progress, adopted approaches, and final outcomes, and checks if past experiences apply to similar tasks. Code memory goes further, integrating with Git logs to track modification histories of files and functions—even if code is rolled back, it can retrieve prior changes and identify previously tested solutions. The supporting MemHub connects memory across different AI tools, allowing 10 tools including Cursor, Codex, and Claude Code to share a single local memory. With user authorization, MemHub imports historical conversations and continuously syncs new records. For example, if project specifications are set in Cursor and development continues in Codex, the specifications can be directly retrieved without re-explaining. Tencent also trained a dedicated model, Hy-Memory-30B-A3B, with 30 billion total parameters, activating only about 3 billion at a time. It is responsible for filtering, organizing, and updating memory, and can integrate with existing frameworks like Mem0 and MemOS. Tencent tested four memory systems, with an average score of 55.49, slightly higher than Opus 5’s 54.62.