AI 模型和平台
Snowflake 发布总是在CoCo和CoWork Bots上进行背景工作
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2026年11月3日，Snowflake 宣布为CoCo提供新常态bots，其编码agent为数据团队，CoWork为知识工作者提供个人作品agent. bots是为了在背景中计划并完成工作，而不是等待个人提示。
CoCo和CoWork Bots即将进入私人预览。 一个用户可以设定一个高级别目标，例如为每次客户会议准备简报，或者保持数据管道的健康。 机器人继承了该用户的访问权、角色背景和权限，在这些界限内工作，只有在需要关键决定或最后批准时才能展示工作。 这种设计使批准边界成为产品的核心：Snowflake正在将agents从应答请求扩展至继续执行任务，同时将现有的准入控制和人员签注设置到位。
排定的工作和日常工具
CoCo自动化一般可用，允许数据组通过CoCo和CoWork来安排重复的工作流程。 每次运行都保留了审计线索和任务历史，团队可以暂停或重新运行某项工作。 对商业用户来说，CoWork可以在设定的时间表上重复分析；Snowflake的例子是销售领头人，每周收到一份关于销售业绩，新兴趋势和需要关注的领域的报告。 普遍可用的Async Agent API支持更长，多步骤的CoWork任务，这些任务在背景中继续，并在中断后恢复。
Snowflake代表Slack,CoCo代表Excel和Sheets,Snowflake Mobile则在公众预览中。 Slack将CoCo和CoWork放在一个bot中，而电子表格集成则允许用户在数据仍然保护在Snowflake时询问普通语言的问题。 兹Snowflake Mobile同时结合了agents，为商业用户提供了一种批准动作的方法，并让开发者继续编码会话，管理构建，并从他们的手机中引导工作。
治理、记忆和可重复使用的工作
其他控制处理当agent使用扩散到个人之外时会发生什么。 技能和插件共享(目前普遍可用)让用户将CoCo工作流程转化为可重复使用的资产，并在整个组织中共享；管理员可以决定哪些工作流程是指定官员。 CoCo中的配置图和CoWork中的新配置图在公开预览中。 CoCo Profiles提供了用户可以自定义的默认，而CoWork Profiles让管理员设置了agent访问和路由指令，最终用户无法删除。
agents的内存都保留了以前的上下文和决定，用户可以查看，更新或删除存储的内存。 CoWork还可以将分析转化为可共享的HTML报告或交互式仪表板，队友可以开启与CoCo的侧面对话来检查结果。 这些特征共同连接了个人历史和团队的再利用：上下文持续存在，但人们和行政人员对人们记忆中的内容和成为标准的工作流程保留了明确的控制。
收养和客户部署
Snowflake 称 CoWork有超过5800个账户使用，CoCo有超过9100个账户使用。 这些数字是2026年7月31日终了季度最后四个星期的平均数字，计算了每周使用各自功能的容量和点播账户。 Cisco、Docusign和United Lefts都是使用这两种产品的组织。
Cisco 称其客户体验团队使用Snowflake建造的专用agents来识别上市和续约机会，CoCo则帮助工程师转换遗留代码，并为迁移核心公司数据建造管道。
Docusign 称 CoWorkpowers 对话数据agents让上市团队进行账户研究，在没有SQL专业知识的情况下获得洞察力。
公告将自主工作与一系列控制联系起来：对bot的继承许可、共享工作流程的管理规则、对相应决定的批准检查站和对预定工作的审计线索。 这使治理成为运作机制的一部分，而不是单独的政策层面。 由于bots仍在等待私人预览，实际测试是客户能否将可用的自动化和共享特性扩展为连续工作，而不会失去agents所做工作的能见度。
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AI Models & Platforms
Snowflake Unveils Always-On CoCo and CoWork Bots for Background Work
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Snowflake announced on November 3, 2026, new always-on bots for CoCo, its coding agent for data teams, and CoWork, its personal work agent for knowledge workers. The bots are designed to plan and complete work in the background rather than wait for individual prompts.
The CoCo and CoWork Bots are coming soon to private preview. A user can set a high-level goal, such as preparing briefings for every customer meeting or keeping data pipelines healthy. The bot inherits that user’s access rights, role context and permissions, works within those boundaries and surfaces the work only when a critical decision or final approval is required. That design makes the approval boundary central to the product: Snowflake is extending agents from answering requests to pursuing continuing assignments, while leaving existing access controls and human sign-off in place.
Scheduled Work and Everyday Tools
CoCo Automations is generally available, allowing data teams to schedule repeated workflows through CoCo and CoWork. Each run retains an audit trail and task history, and teams can suspend or rerun a job. For business users, CoWork can repeat an analysis on a set schedule; Snowflake’s example is a sales leader receiving a weekly report on sales performance, emerging trends and areas needing attention. The generally available Async Agent API supports longer, multi-step CoWork tasks that continue in the background and resume after an interruption.
Snowflake for Slack, CoCo for Excel and Sheets, and Snowflake Mobile are in public preview. Slack places CoCo and CoWork in one bot, while the spreadsheet integrations let users ask plain-language questions while the data remains protected in Snowflake. Snowflake Mobile combines both agents, giving business users a way to approve actions and letting developers continue coding sessions, manage builds and steer work from their phones.
Governance, Memory and Reusable Work
Other controls address what happens when agent use spreads beyond an individual. Skills and Plugin Sharing, now generally available, lets users turn CoCo workflows into reusable assets and share them across an organization; administrators can decide which workflows are designated official. Profiles in CoCo and the new Profiles in CoWork are in public preview. CoCo Profiles offer suggested defaults that users can customize, while CoWork Profiles let administrators set agent access and routing instructions that end users cannot remove.
Memory in both agents retains previous context and decisions, with users able to view, update or delete stored memories. CoWork can also turn analysis into shareable HTML reports or interactive dashboards, and teammates can open a side-by-side conversation with CoCo to examine the results. Together, those features connect personal history and team reuse: context persists, but people and administrators retain defined controls over what is remembered and which workflows become standard.
Adoption and Customer Deployments
Snowflake said CoWork is used by more than 5,800 accounts and CoCo by more than 9,100. Those figures are averages over the last four weeks of the quarter ended July 31, 2026, counting capacity and on-demand accounts that used the respective features weekly. Cisco, Docusign and United Rentals are among the organizations using both products.
Cisco said its Customer Experience teams use specialized agents built in Snowflake to identify upsell and renewal opportunities, while CoCo helps engineers convert legacy code and build pipelines for migrating core corporate data.
Docusign said CoWork powers conversational data agents that let go-to-market teams perform account research and obtain insights without SQL expertise.
The announcement ties autonomous work to a chain of controls: inherited permissions for bots, administrator rules for shared workflows, approval checkpoints for consequential decisions and audit trails for scheduled jobs. That makes governance part of the operating mechanism rather than a separate policy layer. With the bots still awaiting private preview, the practical test is whether customers can extend the available automation and sharing features into continuous work without losing visibility into what the agents did.
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