{ "version": 1, "event_id": "evt_7e38e56fc0692132", "url": "https://xiyu.news/events/evt_7e38e56fc0692132/", "json": "https://xiyu.news/api/events/evt_7e38e56fc0692132.json", "type": "product_release", "status": "monitoring", "category": "technology", "title": { "zh": "腾讯混元发布Hy Memory 2.0：模型、框架、应用三层全开源，开源记忆框架评测第一", "en": "腾讯混元发布Hy Memory 2.0：模型、框架、应用三层全开源，开源记忆框架评测第一" }, "current_state": { "zh": "腾讯混元已开源发布 Hy Memory 2.0，包含专用模型 Hy-Memory-30B-A3B、记忆框架和 MemHub 应用；2.0新增工作记忆与代码记忆（含Git回滚代码追溯），让10款AI编程工具共用本地记忆，并在四套记忆系统测试中以55.49平均分略高于 Opus 5 的54.62分。", "en": "Tencent Hunyuan has open-sourced Hy Memory 2.0, including the dedicated Hy-Memory-30B-A3B model, memory framework, and MemHub app; version 2.0 adds work and Git-linked code memory (including rollback tracing), lets 10 AI coding tools share a local memory store, and scored 55.49 average versus Opus 5's 54.62 on four memory benchmarks." }, "first_seen_at": "2026-10-16T13:21:27.432983+00:00", "last_updated_at": "2026-10-16T13:21:27.435377+00:00", "last_material_change_at": "2026-10-16T13:21:27.435377+00:00", "confidence": 0.75, "updates_count": 2, "sources_count": 2, "entities": [ "memory" ], "identifiers": [], "topics": [ "agent-memory", "ai-devtools", "ai-memory", "developer-tools", "llm-agents", "open-source", "tencent-hunyuan" ], "updates": [ { "update_id": "upd_51cb0c6adce89bb1", "event_id": "evt_7e38e56fc0692132", "occurred_at": "2026-10-16T10:16:02Z", "published_at": "2026-10-16T10:16:02Z", "first_seen_at": "2026-10-16T13:21:27.432983Z", "time_precision": "published", "update_type": "initial", "material_change": true, "title_zh": "腾讯混元发布Hy Memory 2.0：模型、框架、应用三层全开源，开源记忆框架评测第一", "title_en": "腾讯混元发布Hy Memory 2.0：模型、框架、应用三层全开源，开源记忆框架评测第一", "what_changed_zh": "腾讯混元发布 Hy Memory 2.0，全面开源专用记忆模型、记忆框架以及可连接 10 款 AI 工具的 MemHub 本地记忆应用，声称在 4 项基准测试中位居开源第一，并报告在腾讯自家产品中准确率大幅提升。", "what_changed_en": "Tencent Hunyuan released Hy Memory 2.0, fully open-sourcing a dedicated memory model, the memory framework, and the MemHub local memory application that links to 10 AI tools, claiming top open-source ranking across 4 benchmarks and reporting large accuracy gains in Tencent's own products.", "current_state_zh": "腾讯混元发布 Hy Memory 2.0，全面开源专用记忆模型、记忆框架以及可连接 10 款 AI 工具的 MemHub 本地记忆应用，声称在 4 项基准测试中位居开源第一，并报告在腾讯自家产品中准确率大幅提升。", "current_state_en": "Tencent Hunyuan released Hy Memory 2.0, fully open-sourcing a dedicated memory model, the memory framework, and the MemHub local memory application that links to 10 AI tools, claiming top open-source ranking across 4 benchmarks and reporting large accuracy gains in Tencent's own products.", "detailed_summary_zh": "Tencent Hunyuan released Hy Memory 2.0, fully open-sourcing a dedicated memory model, the memory framework, and the MemHub local memory application that links to 10 AI tools, claiming top open-source ranking across 4 benchmarks and reporting large accuracy gains in Tencent's own products.", "detailed_summary_en": "Tencent Hunyuan released Hy Memory 2.0, fully open-sourcing a dedicated memory model, the memory framework, and the MemHub local memory application that links to 10 AI tools, claiming top open-source ranking across 4 benchmarks and reporting large accuracy gains in Tencent's own products.", "background_zh": "", "background_en": "", "community_discussion_zh": "", "community_discussion_en": "", "market_impact_zh": "", "market_impact_en": "", "importance_score": 7.0, "references": [], "confidence": 0.75, "story_ids": [ "telegram:theblockbeats:200904" ], "sources": [ { "url": "https://m.theblockbeats.info/flash/372240?from=telegram", "label": "theblockbeats", "source_type": "telegram", "official": false } ] }, { "update_id": "upd_0f64afdeed898fa0", "event_id": "evt_7e38e56fc0692132", "occurred_at": "2026-10-16T10:40:03Z", "published_at": "2026-10-16T10:40:03Z", "first_seen_at": "2026-10-16T13:21:27.435377Z", "time_precision": "published", "update_type": "confirmation", "material_change": true, "title_zh": "腾讯Hy Memory 2.0开源：10款AI工具共享记忆，连回滚过的代码都能追溯", "title_en": "腾讯Hy Memory 2.0开源：10款AI工具共享记忆，连回滚过的代码都能追溯", "what_changed_zh": "新增披露：Hy Memory 2.0新增工作记忆与代码记忆，可结合Git记录追踪文件和函数修改历史（包括回滚代码追溯）；专用模型为Hy-Memory-30B-A3B（总参数300亿，每次激活约30亿）；四套记忆系统测试平均55.49分，略高于Opus 5的54.62分；MemHub让Cursor、Codex、Claude Code等10款工具共用一份本地记忆。", "what_changed_en": "New details disclosed: Hy Memory 2.0 adds work and Git-linked code memory, tracing file and function modification history including rolled-back code; the dedicated model is Hy-Memory-30B-A3B (30B total parameters, about 3B activated); on four memory system tests it averaged 55.49, slightly above Opus 5's 54.62; MemHub lets 10 tools including Cursor, Codex, and Claude Code share one local memory store.", "current_state_zh": "腾讯混元已开源发布 Hy Memory 2.0，包含专用模型 Hy-Memory-30B-A3B、记忆框架和 MemHub 应用；2.0新增工作记忆与代码记忆（含Git回滚代码追溯），让10款AI编程工具共用本地记忆，并在四套记忆系统测试中以55.49平均分略高于 Opus 5 的54.62分。", "current_state_en": "Tencent Hunyuan has open-sourced Hy Memory 2.0, including the dedicated Hy-Memory-30B-A3B model, memory framework, and MemHub app; version 2.0 adds work and Git-linked code memory (including rollback tracing), lets 10 AI coding tools share a local memory store, and scored 55.49 average versus Opus 5's 54.62 on four memory benchmarks.", "detailed_summary_zh": "Tencent Hunyuan released Hy Memory 2.0 as open source, adding work and Git-linked code memory plus a dedicated Hy-Memory-30B-A3B model and the MemHub app that lets 10 AI coding tools share one local memory store.", "detailed_summary_en": "Tencent Hunyuan released Hy Memory 2.0 as open source, adding work and Git-linked code memory plus a dedicated Hy-Memory-30B-A3B model and the MemHub app that lets 10 AI coding tools share one local memory store.", "background_zh": "", "background_en": "", "community_discussion_zh": "", "community_discussion_en": "", "market_impact_zh": "", "market_impact_en": "", "importance_score": 7.0, "references": [], "confidence": 0.93, "story_ids": [ "telegram:theblockbeats:200909" ], "sources": [ { "url": "https://m.theblockbeats.info/flash/372245?from=telegram", "label": "theblockbeats", "source_type": "telegram", "official": false } ] } ] }