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LangChainLaunch

Execute Code with Sandboxes for DeepAgents

What happened

Langchain launched Sandboxes for DeepAgents on Nov 13th '25.

Source

blog.langchain.comNov 13, 2025

Execute Code with Sandboxes for DeepAgents

Article excerpt

Highlighted: the sentence this signal was extracted from

Execute code with Sandboxes for DeepAgents. Today Langchain is excited to launch Sandboxes for DeepAgents, a new set of integrations that allow you to safely execute arbitrary DeepAgent code in remote sandboxes. Langchain currently support sandboxes from 3 of its partners: Runloop, Daytona, and Modal. Below, Langchain dive into what you can do with sandboxes and how to use them with with the DeepAgents-CLI. Why do Langchain need sandboxes? Sandboxes give Langchain a simple, configurable environment to execute code and do work outside of its local machine. Here are some scenarios where this may be useful: * Safety: Your agent is executing arbitrary code which could be harmful to your local machine (ex: rm -rf). Running in a sandbox means your machine is safe from potentially malicious code. * Clean Environments: You need specific dependencies, languages, or OS configurations without polluting your local setup. Spin up a sandbox with exactly what you need, use it, then terminate it. * Parallel Execution: Run multiple agents simultaneously, each in their own isolated environment, without resource conflicts or interference. * Long-Running Tasks: Let agents work on time-intensive operations without blocking your local machine. * Reproducibility: Guarantee consistent execution environments across your team. How it works. * Setup the sandbox (with an optional setup script) *...

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Extracted by Autobound

From the Signal API record
Event
Launch

What this signalsA launch often needs new go-to-market and support spend.

Product
Sandboxes for DeepAgents
Takes effect
Nov 13, 2025

The full record

From the Signal API record

Details

Category
Launches

Extraction

Confidence
97%
Detected
Nov 13, 2025
signal_type
news
signal_subtype
launches

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This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/56ba7a49-cf17-48b8-bbe8-544c3b2c3e89 returns this record as JSON. POST /v1/companies/enrich returns every signal for langchain.com.

{
  "signal_id": "56ba7a49-cf17-48b8-bbe8-544c3b2c3e89",
  "signal_type": "news",
  "signal_subtype": "launches",
  "detected_at": "2025-11-13T16:22:20+00:00",
  "company": {
    "name": "LangChain",
    "domain": "langchain.com"
  },
  "data": {
    "url": "https://blog.langchain.com/execute-code-with-sandboxes-for-deepagents",
    "title": "Execute Code with Sandboxes for DeepAgents",
    "excerpt": "Execute code with Sandboxes for DeepAgents.\n\nToday Langchain is excited to launch Sandboxes for DeepAgents, a new set of integrations that allow you to safely execute arbitrary DeepAgent code in remote sandboxes. Langchain currently support sandboxes from 3 of its partners: Runloop, Daytona, and Modal. Below, Langchain dive into what you can do with sandboxes and how to use them with with the DeepAgents-CLI.\n\nWhy do Langchain need sandboxes?\n\nSandboxes give Langchain a simple, configurable environment to execute code and do work outside of its local machine. Here are some scenarios where this may be useful:\n\n* Safety: Your agent is executing arbitrary code which could be harmful to your local machine (ex: rm -rf). Running in a sandbox means your machine is safe from potentially malicious code.\n* Clean Environments: You need specific dependencies, languages, or OS configurations without polluting your local setup. Spin up a sandbox with exactly what you need, use it, then terminate it.\n* Parallel Execution: Run multiple agents simultaneously, each in their own isolated environment, without resource conflicts or interference.\n* Long-Running Tasks: Let agents work on time-intensive operations without blocking your local machine.\n* Reproducibility: Guarantee consistent execution environments across your team.\n\nHow it works.\n\n* Setup the sandbox (with an optional setup script)\n*...",
    "product": "Sandboxes for DeepAgents",
    "summary": "Langchain launched Sandboxes for DeepAgents on Nov 13th '25.",
    "category": "launches",
    "found_at": "2025-11-13T16:22:20Z",
    "planning": false,
    "image_url": "https://blog.langchain.com/content/images/size/w1200/2025/11/Blog-Header_02.png",
    "confidence": 0.9692,
    "product_data": {
      "full_text": "Sandboxes for DeepAgents",
      "fuzzy_match": true
    },
    "published_at": "2025-11-13T16:22:20Z",
    "effective_date": "2025-11-13",
    "article_sentence": "Today Langchain is excited to launch Sandboxes for DeepAgents, a new set of integrations that allow you to safely execute arbitrary DeepAgent code in remote sandboxes."
  }
}

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