虽然OpenAI和Anthropic引发了人们对流氓代理的担忧，但加拿大模型开发人员Kohere向企业承诺提供更安全、更一致的体验。周一，该公司表示，它改进了去年初推出的North代理工具，以改善协作、访问控制、代币支出和平台的整体安全性。正如您对以企业为中心的代理框架所期望的那样，Kohere的North 2旨在与现有的知识库和SaaS应用程序相结合，以自动化各种业务流程。
While OpenAI and Anthropic stoke fears over rogue agents, Canadian model dev Cohere promises enterprises a safer and more consistent experience. On Monday, the company said it revamped its North agent harness, which launched early last year, to improve collaboration, access control, token spend, and overall security of the platform. As you'd expect from an enterprise focused agent framework, Cohere's North 2 is designed to tie into existing knowledge bases and SaaS apps in order to automate various business processes.
North 2引入了各种使用过Claude Code或OpenClaw的人应该熟悉的功能和功能。其中包括技能、库和自动化的概念。技能可以说是最简单的，本质上是记录代理工具如何完成任务的标准操作程序。这些技能通常是通过与代理合作完成任务，然后记录哪些步骤取得了最佳结果来生成的。Kohere表示，通过North 2，它可以更容易地分享这些技能，这样用户就不会浪费时间重新发明轮子。
North 2 introduces a variety of features and functions that should be familiar to anyone who's used Claude Code or OpenClaw. Among them is the concept of skills, libraries, and automations. Skills are arguably the simplest, and are essentially standard operating procedures documenting how the agent harness should complete tasks. The skills are often generated by working with the agent to complete a task and then documenting which steps achieved the best results. With North 2, Cohere says that it has made it easier for these skills to be shared so that users aren't wasting time reinventing the wheel.
据推测，这应该会通过避免代理采取不同的途径来实现其目标来提高一致性，因为这可能会错过关键信息或细微差别。为了促进新技能的创建，North 2还引入了自动化的概念，即可以使用拖放图形界面自定义的通用模板，与我们今年早些时候研究过的LangFlow没有什么不同。除了技能和自动化之外，Kohere的North 2还为共享知识和资产（称为库）做了类似的事情，以确保代理在相同的数据集上工作。
Presumably, this should improve consistency by avoiding having the agent take different routes to achieving its goal, something that might miss key information or nuance. To facilitate the creation of new skills, North 2 also introduces the concept of automations, generic templates that can be customized using a drag-and-drop graphical interface, not unlike LangFlow, which we looked at earlier this year. Alongside skills and automations, Cohere's North 2 does something similar for shared knowledge and assets, which it calls libraries, to ensure that agents are working off of the same datasets.
最后，North 2添加了内存（大多数现代代理工具的核心功能），以确保代理可以跨多个会话维护上下文。
Finally, North 2 adds memory, a core feature of most modern agent harnesses, to ensure that agents can maintain context across multiple sessions.
从某种意义上说，这些功能有点像自生成宏，但它们并不局限于Excel，而是跨多个应用程序和数据源工作。主权人工智能仍然是Kohere的一个主要话题，该公司表示企业可以在他们喜欢的地方部署North 2并使用他们喜欢的模型。如果企业希望在空气间隙的环境中部署现场安全带，他们可以。如果他们喜欢在云中运行它，这也是一种选择。
In some sense, these features are a bit like self-generating macros, but rather than being limited to Excel, they work across multiple applications and data sources. Sovereign AI remains a major talking point for Cohere, which says enterprises can deploy North 2 where they like and use their preferred models. If enterprises want to deploy the harness on-prem in an air-gapped environment, they can. If they prefer to run it in the cloud, that's also an option.
除了旨在协作和自动化的新功能外，North 2还实施了新的护栏，旨在帮助企业处理代币支出和访问控制。与此同时，流量控制功能承诺更好地了解哪些部门正在占用所有代币，而访问控制功能使管理员能够将访问控制列表分配给各种库和技能，这样实习生就无法仅仅因为他们要求就获得专有数据。North 2只是众多面向企业的代理人工智能平台中的最新一个，这些平台已在去年本质上，每个主要和次要的云提供商都引入了某种针对企业需求定制的代理工具。过去几周，随着OpenAI、Meta和其他公司将目光投向企业，竞争变得更加激烈。®
Along with new features aimed at collaboration and automation, North 2 implements new guardrails designed to help enterprises get a handle on their token spend and access controls. Flow control functionality, meanwhile, promises greater visibility into which departments are hogging all the tokens, while access control functionality offers admins the ability to assign access control lists to various libraries and skills so that interns can't get their hands on proprietary data just because they asked for it. North 2 is only the latest in a slew of enterprise focused agentic AI platforms which have been rolled out over the last year. Essentially every major and minor cloud provider has introduced some kind of agent harness tailored to enterprise needs. The competition has only gotten hotter over the last few weeks as OpenAI, Meta and others have set their sights on the enterprise. ®