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BoxMount in the OpenAI SDK sandbox lets you mount a Box folder straight into an agent's filesystem. The OpenAIDevs agent reads your MSA, Security Exhibit, and DPA as real files. Flags non-standard indemnities, missing SCCs, liability caps, and renewal traps. Writes a risk snapshot before legal's first pass. Watch... show more

Box

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393,918 views • 4 months ago •via X (Twitter)

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🆕 OpenAI Developers Agents API gives developers a hosted sandbox where agents run tools, coordinate work, and handle complex tasks. Box Mount brings enterprise content directly into that sandbox as files the agent can read, reason across, and produce new work from, using normal shell commands and file paths while Box Mount handles two-way sync automatically. In our demo, a lead agent mounts a deal room from Box, reads five source files, launches three specialist agents in parallel, and writes four reports back through Box Mount with an initial verdict. When a customer revises the MSA in Box, Box Mount syncs the new version into the same sandbox and the agents reassess automatically, refreshing all four reports while preserving the revised MSA as version two in Box. The result is a shared workspace where people and agents work on the same governed Box content without building custom file-transfer logic, with permissions, versions, and audit history preserved throughout. Box Mount is in private preview. Watch👇

🆕 OpenAI Developers Agents API gives developers a hosted sandbox where agents run tools, coordinate work, and handle complex tasks. Box Mount brings enterprise content directly into that sandbox as files the agent can read, reason across, and produce new work from, using normal shell commands and file paths while Box Mount handles two-way sync automatically. In our demo, a lead agent mounts a deal room from Box, reads five source files, launches three specialist agents in parallel, and writes four reports back through Box Mount with an initial verdict. When a customer revises the MSA in Box, Box Mount syncs the new version into the same sandbox and the agents reassess automatically, refreshing all four reports while preserving the revised MSA as version two in Box. The result is a shared workspace where people and agents work on the same governed Box content without building custom file-transfer logic, with permissions, versions, and audit history preserved throughout. Box Mount is in private preview. Watch👇

Box

228,418 views • 4 days ago

We’re introducing Box Mount. Mount a Box folder into a sandbox like E2B and keep it in two-way sync. The agent reads and writes Box content with standard file operations as if they were local. Every operation flows through the Box API so governance applies automatically, no custom policy code required. 2 commands to get started: agent-mount config agent-mount mount "/mnt/box" " " Developer Preview is now open.

We’re introducing Box Mount. Mount a Box folder into a sandbox like E2B and keep it in two-way sync. The agent reads and writes Box content with standard file operations as if they were local. Every operation flows through the Box API so governance applies automatically, no custom policy code required. 2 commands to get started: agent-mount config agent-mount mount "/mnt/box" " " Developer Preview is now open.

Box

55,292 views • 7 days ago

New in Box Drive: right-click any file or folder and open it directly in the Claude or Cursor desktop apps. One right-click. One prompt. The agent reviews every contract in the folder, flags the risks, builds a comparison table and a risk memo, and saves both back to Box. All your content. Any AI agent. Right from your desktop.

New in Box Drive: right-click any file or folder and open it directly in the Claude or Cursor desktop apps. One right-click. One prompt. The agent reviews every contract in the folder, flags the risks, builds a comparison table and a risk memo, and saves both back to Box. All your content. Any AI agent. Right from your desktop.

Box

316,999 views • 1 month ago

Box Drive now connects directly to Cursor from your desktop. Right-click any file or folder in Box Drive and open it directly in the Cursor desktop app, giving you instant access to your Box content without downloading files or switching between tools. In this demo, a developer right-clicks a PRD stored in Box Drive, opens it in Cursor, and asks it to build an app based on the specs. Cursor reads the full requirements document and generates the results, all without the spec ever leaving Box. Your product specs and your development environment finally in the same flow.

Box Drive now connects directly to Cursor from your desktop. Right-click any file or folder in Box Drive and open it directly in the Cursor desktop app, giving you instant access to your Box content without downloading files or switching between tools. In this demo, a developer right-clicks a PRD stored in Box Drive, opens it in Cursor, and asks it to build an app based on the specs. Cursor reads the full requirements document and generates the results, all without the spec ever leaving Box. Your product specs and your development environment finally in the same flow.

Box

150,425 views • 18 days ago

OpenAI and Box are bringing your enterprise content directly into ChatGPT. As the file system for AI, Box provides headless access to enterprise context in ChatGPT while keeping the content managed, governed and protected by your existing Box permissions. Demo ↓

OpenAI and Box are bringing your enterprise content directly into ChatGPT. As the file system for AI, Box provides headless access to enterprise context in ChatGPT while keeping the content managed, governed and protected by your existing Box permissions. Demo ↓

Box

3,474,685 views • 5 days ago

We're excited to introduce Box + Perplexity Computer – where your AI assistant becomes a true operator, working directly within your content hub. Empower your agents with: → A Real Filesystem for AI: Seamlessly connect Perplexity with your Box files → Intelligent Insights: Point Perplexity across multiple files to surface insights, patterns, and answers that drive strategic decisions. → Automated Multi-Step Workflows: Perplexity Computer handles complex tasks efficiently in the background. → Secure & Governed Operations: Leverage Box's security and permissions, ensuring your AI operates with the right access and governance. Watch how Box + Perplexity Computer transforms raw data into actionable intelligence, like building a comprehensive competitive brief from multiple documents.

We're excited to introduce Box + Perplexity Computer – where your AI assistant becomes a true operator, working directly within your content hub. Empower your agents with: → A Real Filesystem for AI: Seamlessly connect Perplexity with your Box files → Intelligent Insights: Point Perplexity across multiple files to surface insights, patterns, and answers that drive strategic decisions. → Automated Multi-Step Workflows: Perplexity Computer handles complex tasks efficiently in the background. → Secure & Governed Operations: Leverage Box's security and permissions, ensuring your AI operates with the right access and governance. Watch how Box + Perplexity Computer transforms raw data into actionable intelligence, like building a comprehensive competitive brief from multiple documents.

Box

246,743 views • 6 months ago

ANTHROPIC KILLED THE VECTOR DATABASE AND REPLACED IT WITH A FOLDER no embeddings. no black-box retrieval. no special memory tools. the agent just reads and writes a folder the insight: your agent already knows how to use a filesystem. so Anthropic made long-term memory a directory of small markdown files, mounted straight into the agent's sandbox at /mnt/memory the agent manages it with the tools it already has, bash, read, write, edit, grep, and Anthropic auto-injects a note into the system prompt so the agent always knows the memory is there and where to look the result: > every change is an immutable version: full audit trail, point-in-time recovery, redaction > read-only or read-write per store, so many agents can safely share one memory > workspace-scoped and persistent, memory that survives every session end most teams bolt on a vector DB and pray retrieval works. Anthropic went the opposite way: compiled knowledge as plain, human-readable files you can open, diff, and edit yourself and there's a second layer. Anthropic's "Dreaming" runs offline, reviews past sessions and the store, and rewrites it into a cleaner, higher-signal version. the agent literally consolidates memory in its sleep. bookmark this. the most production-grade agent memory right now is just a well-organized folder, and Anthropic proved it.

ANTHROPIC KILLED THE VECTOR DATABASE AND REPLACED IT WITH A FOLDER no embeddings. no black-box retrieval. no special memory tools. the agent just reads and writes a folder the insight: your agent already knows how to use a filesystem. so Anthropic made long-term memory a directory of small markdown files, mounted straight into the agent's sandbox at /mnt/memory the agent manages it with the tools it already has, bash, read, write, edit, grep, and Anthropic auto-injects a note into the system prompt so the agent always knows the memory is there and where to look the result: > every change is an immutable version: full audit trail, point-in-time recovery, redaction > read-only or read-write per store, so many agents can safely share one memory > workspace-scoped and persistent, memory that survives every session end most teams bolt on a vector DB and pray retrieval works. Anthropic went the opposite way: compiled knowledge as plain, human-readable files you can open, diff, and edit yourself and there's a second layer. Anthropic's "Dreaming" runs offline, reviews past sessions and the store, and rewrites it into a cleaner, higher-signal version. the agent literally consolidates memory in its sleep. bookmark this. the most production-grade agent memory right now is just a well-organized folder, and Anthropic proved it.

NO1ennn

13,359 views • 1 month ago

Your contract review agent can read an NDA and summarize the key terms. But ask it "what are the risky clauses?" and you get a different answer every time. Neither gets solved by a bigger model. Here's a deep dive of the Box AI Extract NDA risk workflow. The agent calls POST /2.0/ai/extract_structured with a fixed five-field schema: governing law, term, termination, confidentiality period, liability cap. Confidence scores and source references included. A transparent rule set scores each clause automatically. The Deal Risk Summary saves back to Box as a companion file alongside the source document. Same output shape every time, regardless of how the document is written. Extract, don't prompt.

Your contract review agent can read an NDA and summarize the key terms. But ask it "what are the risky clauses?" and you get a different answer every time. Neither gets solved by a bigger model. Here's a deep dive of the Box AI Extract NDA risk workflow. The agent calls POST /2.0/ai/extract_structured with a fixed five-field schema: governing law, term, termination, confidentiality period, liability cap. Confidence scores and source references included. A transparent rule set scores each clause automatically. The Deal Risk Summary saves back to Box as a companion file alongside the source document. Same output shape every time, regardless of how the document is written. Extract, don't prompt.

Box

508,031 views • 1 month ago

🆕SpaceXAI just launched Grok Bot, a personal AI assistant built for complex knowledge work. Connected to Box through the Box MCP server, Grok Bot can work across your governed enterprise content immediately, across any workflow and any industry. In our demo it tackles a credit committee review. Works across credit agreements, borrower financials, diligence materials, collateral documentation, and risk assessments. Reconciles key terms. Flags credit risks and inconsistencies. Produces a source-cited brief. Saves it back to Box with structured deal metadata applied. All your content. Any AI agent. Watch here. 👇

🆕SpaceXAI just launched Grok Bot, a personal AI assistant built for complex knowledge work. Connected to Box through the Box MCP server, Grok Bot can work across your governed enterprise content immediately, across any workflow and any industry. In our demo it tackles a credit committee review. Works across credit agreements, borrower financials, diligence materials, collateral documentation, and risk assessments. Reconciles key terms. Flags credit risks and inconsistencies. Produces a source-cited brief. Saves it back to Box with structured deal metadata applied. All your content. Any AI agent. Watch here. 👇

Box

1,399,288 views • 1 month ago

The open-source Box Cursor Plugin transforms your Cursor agent into a secure enterprise operator. Now you can search, summarize, and extract Box content directly inside your IDE. Guide agent behavior using simple, natural language rules (no complex code required), while enforcing strict security guardrails that protect your enterprise data. Get the full breakdown and explore the plugin on the Cursor marketplace 👉

The open-source Box Cursor Plugin transforms your Cursor agent into a secure enterprise operator. Now you can search, summarize, and extract Box content directly inside your IDE. Guide agent behavior using simple, natural language rules (no complex code required), while enforcing strict security guardrails that protect your enterprise data. Get the full breakdown and explore the plugin on the Cursor marketplace 👉

Box

351,536 views • 6 months ago

We shipped an OSS 'vibe coding platform' (like v0) built with Vercel AI SDK, Gateway and Sandbox. We worked with @openai to tune the GPT-5 agent loop. It can write/read files, run commands, install packages, autofix errors… Demo oneshotting a multiplayer Pong in Go ↓

We shipped an OSS 'vibe coding platform' (like v0) built with Vercel AI SDK, Gateway and Sandbox. We worked with @openai to tune the GPT-5 agent loop. It can write/read files, run commands, install packages, autofix errors… Demo oneshotting a multiplayer Pong in Go ↓

Guillermo Rauch

794,422 views • 1 year ago

Today we are announcing Box Agent Security and Governance. AI agents are reading files, moving content, and triggering actions across your most sensitive data at machine speed. Most security tools were not designed for this. Box closes the gap at the content layer: · Prompt injection detection before it reaches the model · Agent guardrails on what agents can and cannot do · Classification-based access policies extending Box Shield to AI · Audit trails for every agent session No additional software. No per-vendor configuration.

Today we are announcing Box Agent Security and Governance. AI agents are reading files, moving content, and triggering actions across your most sensitive data at machine speed. Most security tools were not designed for this. Box closes the gap at the content layer: · Prompt injection detection before it reaches the model · Agent guardrails on what agents can and cannot do · Classification-based access policies extending Box Shield to AI · Audit trails for every agent session No additional software. No per-vendor configuration.

Box

749,502 views • 1 month ago

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:

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:

Box

1,018,021 views • 6 months ago

.Manus and Box CLI working together on a real workflow. Here's what that looks like. Your vendor documents like SOC2 reports and DPAs serve as the source of truth. HubSpot pulls in deal context. Manus analyzes everything, identifies risks and gaps, and saves a structured summary with recommended next steps right alongside the original files. Box is the end to end secure AI file system improving user productivity for real-life workflows. Watch here. 👇

.Manus and Box CLI working together on a real workflow. Here's what that looks like. Your vendor documents like SOC2 reports and DPAs serve as the source of truth. HubSpot pulls in deal context. Manus analyzes everything, identifies risks and gaps, and saves a structured summary with recommended next steps right alongside the original files. Box is the end to end secure AI file system improving user productivity for real-life workflows. Watch here. 👇

Box

1,338,280 views • 5 months ago

happy friday. sneak peek at some new features i'm building for the bankr agent: > sandboxed filesystem (your agent gets its own secure file system in the browser. you control what it can access. no agent running loose on your actual computer) > skill uploads (plugin new capabilities so your agent learns new things) > cli download & access > secure environment variables for api keys > github integration (connect your repo for reads and writes directly from your agent) all of this runs in a secure browser environment. no desktop app. no messy configuration. no downloading agent harnesses from the terminal. just a sandbox you control. in the video: i download an audit skill, run it against a smart contract, and save the report straight to the filesystem. then i ask the agent to pull all my 2026 transactions and write a csv for my accountant.

happy friday. sneak peek at some new features i'm building for the bankr agent: > sandboxed filesystem (your agent gets its own secure file system in the browser. you control what it can access. no agent running loose on your actual computer) > skill uploads (plugin new capabilities so your agent learns new things) > cli download & access > secure environment variables for api keys > github integration (connect your repo for reads and writes directly from your agent) all of this runs in a secure browser environment. no desktop app. no messy configuration. no downloading agent harnesses from the terminal. just a sandbox you control. in the video: i download an audit skill, run it against a smart contract, and save the report straight to the filesystem. then i ask the agent to pull all my 2026 transactions and write a csv for my accountant.

deployer

45,638 views • 5 months ago

Can AI agents analyze market data and internal research without a compliance nightmare? We built a secure equity research workflow using the Box MCP server + Anthropic's Claude to analyze NVIDIA. Claude pulls internal research from Box, layers in live market data, and generates a polished report via Box Doc Gen. For asset managers and hedge funds, this solves the trade-off between speed and security. No custom connectors, no data leaving Box, and your existing governance is inherited automatically. Watch the full demo 👇

Can AI agents analyze market data and internal research without a compliance nightmare? We built a secure equity research workflow using the Box MCP server + Anthropic's Claude to analyze NVIDIA. Claude pulls internal research from Box, layers in live market data, and generates a polished report via Box Doc Gen. For asset managers and hedge funds, this solves the trade-off between speed and security. No custom connectors, no data leaving Box, and your existing governance is inherited automatically. Watch the full demo 👇

Box

289,025 views • 2 months ago

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:

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:

Box

297,884 views • 6 months ago

Introducing the Box HTML editor. Create, edit, preview, and collaborate on HTML files directly in Box, no additional downloads, no external tools, no re-uploads. Your HTML files can now operate in the same governed space as the rest of your enterprise content, with seamless Box AI access built in from the start.

Introducing the Box HTML editor. Create, edit, preview, and collaborate on HTML files directly in Box, no additional downloads, no external tools, no re-uploads. Your HTML files can now operate in the same governed space as the rest of your enterprise content, with seamless Box AI access built in from the start.

Box

3,405,237 views • 2 months ago

Your research agent can search the web in English. But the evidence that should shape your answer is in French film institute reports, Japanese trade publications, Brazilian creator communities, and Polish cinema data. That is not a model problem. It is a retrieval and orchestration problem. Neither gets solved by a bigger model. Here's a deep dive of the Temporal, OpenAI, and Box AI research agent we built. The agent plans multilingual queries, searches concurrently across four markets, synthesizes a cited master report, publishes localized briefs to Box with retry-safe versioning, and asks Box AI to compare the external findings against your internal governed content. End-to-end durable research.

Your research agent can search the web in English. But the evidence that should shape your answer is in French film institute reports, Japanese trade publications, Brazilian creator communities, and Polish cinema data. That is not a model problem. It is a retrieval and orchestration problem. Neither gets solved by a bigger model. Here's a deep dive of the Temporal, OpenAI, and Box AI research agent we built. The agent plans multilingual queries, searches concurrently across four markets, synthesizes a cited master report, publishes localized briefs to Box with retry-safe versioning, and asks Box AI to compare the external findings against your internal governed content. End-to-end durable research.

Box

34,452 views • 1 month ago

Box is a launch partner for Microsoft’s Apps in Copilot launch. The Box AI Agent for Microsoft365 Copilot will be able to surface rich visual previews like slides, graphs, and images right in the conversation and have access to all of the Box MCP server tools. Coming soon to the Box AI Agent in Microsoft 365 Copilot: 🔹 MCP-powered workflows — metadata extraction, document generation, and more 🔹 Visual-first search — view complicated graphs or rich visuals that are buried in your Box content, without having to open files. 🔹 Fewer clarifications, faster decisions - move from chat to action Enable agents to bring apps into the flow of work, while keeping IT in control:

Box is a launch partner for Microsoft’s Apps in Copilot launch. The Box AI Agent for Microsoft365 Copilot will be able to surface rich visual previews like slides, graphs, and images right in the conversation and have access to all of the Box MCP server tools. Coming soon to the Box AI Agent in Microsoft 365 Copilot: 🔹 MCP-powered workflows — metadata extraction, document generation, and more 🔹 Visual-first search — view complicated graphs or rich visuals that are buried in your Box content, without having to open files. 🔹 Fewer clarifications, faster decisions - move from chat to action Enable agents to bring apps into the flow of work, while keeping IT in control:

Box

335,591 views • 6 months ago