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Agents need files to keep track of their work, they leverage files as context about the tasks they’re doing, and use them to share back and forth with their human counterparts. Aaron Levie spoke with CNBC about and the importance of agents having their own filesystems.

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402,753 görüntüleme • 7 ay önce •via X (Twitter)

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Josh Stein profil fotoğrafı
Josh Stein7 ay önce

One of @levie’s many gifts has been the ability to see the future that’s coming, clearly articulate a vision for it, and push @Box toward that goal. Consumer → Enterprise. The iPad. Desktop → Mobile. And now AI and agents. It’s hard to describe just how rare and special that ability is. 🚀

Lewis Johnson profil fotoğrafı
Lewis Johnson7 ay önce

@levie @CNBC Is that Ellen degeneres

Inflectiv AI ⧉ profil fotoğrafı
Inflectiv AI ⧉7 ay önce

@levie @CNBC Absolutely, agents need dedicated filesystems to effectively manage their work and share context. Having their own filesystems enhances organization, collaboration, and task tracking. It's a crucial step toward more efficient and autonomous agent workflows.

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"Agents really love files. They might need to tap into files you've curated or want to share with them — but you probably want a partitioned file system that only the agent has access to and can't touch other things." Aaron Levie spoke at Daytona's Compute Conference with Mark Suster on why agents need file systems and why getting that foundation right is one of the most important infrastructure decisions enterprises will make.
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"Agents really love files. They might need to tap into files you've curated or want to share with them — but you probably want a partitioned file system that only the agent has access to and can't touch other things." Aaron Levie spoke at Daytona's Compute Conference with Mark Suster on why agents need file systems and why getting that foundation right is one of the most important infrastructure decisions enterprises will make.

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.Aaron Levie shared with CNBC why the rapid rise of AI agents is good news for enterprises that have the right foundation in place. "If you want to be able to include them in your workflow, have them augment your work, they need access to your critical enterprise data. And they need to access it in a secure way, in a way that's governed."
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AI agents need more than intelligence. They need trusted business context. With Google Gemini Managed Agents now supporting remote MCP servers, developers can connect Gemini agents to governed content in Box, generate outputs from real enterprise files, and save the work back where teams already collaborate. Box MCP Server + Gemini API in action.👇
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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 controls, version history, and collaboration at the storage layer. Explore our implementation:
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