Tencent Hunyuan releases Hy Memory 2.0: fully open-sourced across three layers (model, framework, application), ranks first in open-source memory framework evaluations.
1 hours ago
Beating AI Express News: Tencent Hunyuan announced the upgrade of its agent memory framework Hy Memory to version 2.0, and open-sourced the dedicated model Hy-Memory-30A3B, the memory framework itself, and the MemHub application. These three capabilities can be used independently or combined to form a complete memory solution. The framework handles the storage, update, and evolution of three types of memory—chat, work, and code—ranking first among open-source memory frameworks on four benchmarks. The dedicated model scored 55.49 in evaluations across multiple memory systems including Hy Memory, Mem0, and MemOS, surpassing Opus5’s 54.62. Hy Memory 2.0 upgrades chat memory from fragmented facts to complete event contexts, adds new work and code memory capabilities, and can judge the applicable conditions of experience to accurately assist in long-term tasks. As a local memory management app, MemHub supports CLI and Mac, connects to 10 AI tools including WorkBuddy, Cursor, and Codex, and enables historical memory import and real-time cross-tool synchronization. This capability has been deployed in Tencent’s business lines including Stock Selector, iWiki, and Tencent News: Stock Selector’s multi-hop recall rate rose from 50% to 90%, with a comprehensive score improvement of 23.8%; iWiki’s answer accuracy when using only memory increased by 48.6% relative to providing all original conversations; Tencent News achieved an average long-term preference score of 91.68 points.
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