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AI agents need a structured place to do their work and access relevant content. A filesystem provides a clear, navigable way to manage that context. Here’s how Box can back that abstraction in LangChain Deep Agents — preserving the simplicity of the filesystem interface while adding enterprise-grade security, permission...

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1,018,021 просмотров • 4 месяцев назад •via X (Twitter)

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AI agents work better when they bring in context step by step. With Box Agent skills and progressive disclosure of LangChain skills, developers can quickly build AI agents that load the right skill at the right time, stay grounded in Box content, and keep access tightly scoped. Less context bloat. More control. Faster enterprise AI development.
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AI agents work better when they bring in context step by step. With Box Agent skills and progressive disclosure of LangChain skills, developers can quickly build AI agents that load the right skill at the right time, stay grounded in Box content, and keep access tightly scoped. Less context bloat. More control. Faster enterprise AI development.

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Agents are moving from copilots to operators. But operational agents need something simple and powerful: a real filesystem to operate in. Not just chat. Not just APIs. A governed content environment where they can read, write, route, and collaborate. In this demo, OpenClaw🦞 operates inside Box — scoped to a specific intake folder — turning contracts into structured workflow within a secure, permission-aware system. This is how agents begin to operationalize enterprise work. Dive in to get started:
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Agents are moving from copilots to operators. But operational agents need something simple and powerful: a real filesystem to operate in. Not just chat. Not just APIs. A governed content environment where they can read, write, route, and collaborate. In this demo, OpenClaw🦞 operates inside Box — scoped to a specific intake folder — turning contracts into structured workflow within a secure, permission-aware system. This is how agents begin to operationalize enterprise work. Dive in to get started:

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Agents are evolving fast. They can now automate workflows in verticals like legal, finance & life sciences. These agents (like ClaudeCode, ClaudeCowork and OpenClaw) need core primitives: code execution, computer control…and a real filesystem. In an enterprise, these agents will collaborate with a team of people and other agents, making permissions/governance on that file system critical. This new Box skill gives OpenClaw🦞 an enterprise ready, cloud content layer that's secure, governed, and collaborative. Learn how to get started 👉

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AI agents are quickly becoming a new layer of the enterprise workforce. In our partner podcast episode with Salesforce, we explored what it takes to make that shift real. 3 key insights: • Enterprise content gives AI the context it needs • The biggest gains come from content-heavy workflows • Governance must scale as agents take action Dive into how Box + Salesforce are thinking about the future of enterprise AI →
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AI agents are quickly becoming a new layer of the enterprise workforce. In our partner podcast episode with Salesforce, we explored what it takes to make that shift real. 3 key insights: • Enterprise content gives AI the context it needs • The biggest gains come from content-heavy workflows • Governance must scale as agents take action Dive into how Box + Salesforce are thinking about the future of enterprise AI →

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File systems are quickly becoming a core abstraction for AI agents for knowledge work. By having access to a file system, agents can effectively manage context, process any amount of information, and create new files and data. The challenge is that local file systems are inherently limited in size, lack governance capabilities, and are inherently personal -not collaborative- in nature. Now, with the Box API and LangChain's deepagent SDK, you can bring the full power of a secure, collaborative cloud file system to your AI agents. Repo ↓

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