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千问开源MyContext，企业上下文时代来临

分类：最新活动

为 Agent 打造全新的上下文基建

日前，通义千问办公正式开源全新上下文基建「MyContext」。

它能将分散于各地、格式各异的个人工作数据，整合成为 Agent 易于理解的专属工作档案，让 Agent 真正了解用户及实际业务流程，并在决策与执行环节实现高效人机协作，显著提升其在办公场景中的表现能力。

刚上线一周，MyContext 在 GitHub 已经赢得超过 1,000 个 Star，人气持续升温。

让 Agent 真正理解用户和真实业务工作流

为何需要上下文基建

随着模型能力迅速提升以及 Agent Harness 架构演进，通用 Agent 的办公能力日趋成熟，显著改善了个人效率。然而，由于缺乏真实工作情境的上下文，这类 Agent 难以融入实际业务流程，难以有效提升组织生产力。据 MIT 发布的 NANDA 报告显示，约 95% 的企业级生成式 AI 试点未能产生效益，核心原因正是缺少数据基建，导致 AI 系统无法融入现有工作流。

一份不断更新的工作档案

与传统知识库或向量数据库不同，MyContext 采用本地化运行模式，在用户设备上运行，能够自动汇聚来自即时通讯、文件、会议记录、协作平台以及线上线下等多源数据，构建一份持续更新的个人工作档案。该档案涵盖职责范围、协作关系、行为习惯及讨论结论，供 Agent 快速查询与推理。每条信息都可追溯至原始来源，明确标注出处、时间和内容，确保过程透明，有效缓解 AI 幻觉问题，大幅提升任务执行的准确率。

MyContext 背后的技术新思维

通义千问办公在处理时序数据及矛盾数据等关键任务时，采用了创新算法与工程设计。例如，面对即时通讯（IM）中前后矛盾的信息，传统方法通常采用“取最新”或“取置信度最高”策略，但这两种方式在 Agent 场景下容易造成信息遗漏。MyContext 通过语义分析判断冲突信息应合并还是覆盖；若语义分析无法作出判断，则交由用户确认。一旦确认的内容便不可被模型覆盖，从而极大保障了数据的有效性及一致性。

企业上下文时代即将来临

MyContext 支持接入个人钉钉、飞书等主流 IM 数据。用户导入数据后，即可构建专属 Agent 助手，该助手能基于用户知识总结，以符合用户语气的方式自动回复工作消息。未来，团队还将推出企业版上下文基建，全面支持 Salesforce、SAP 等主流企业系统及本地工作流处理，助力企业实现组织层面的生产力跃升。

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