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Agentcube

by ifelseend · v0.0.1

AgentCube is designed to extend Volcano's capabilities to natively support and manage AI Agent workloads.

72 installsUpdated Feb 4, 2026
Documentation
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This community listing does not yet include every recommended support, privacy, pricing, and permission disclosure. Review the available package permissions before installing.

Capabilities

Tools

Available inside your emploidai workspace after installation.

Data sources

Available inside your emploidai workspace after installation.

Category

tool

Version

0.0.1ifelseend

Requirements

Maximum memory 256MB

Pricing

Not disclosed by publisher

Security & access

Review before installing

CompatibleRequires emploidai 1.0.0+

Permissions

  • Uses app capability
  • Uses endpoint capability
  • Uses storage capability
  • Uses tool capability

Dependencies

No additional dependencies

Resources

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Agentcube Dify Plugin

AgentCube is designed to extend Volcano's capabilities to natively support and manage AI Agent workloads. This plugin integrates AgentCube with Dify, providing a powerful and isolated code execution sandbox.

Tools

Agentcube Code Interpreter

The Agentcube Code Interpreter tool offers an isolated code execution sandbox based on Volcano AgentCube. It allows you to perform various code interpreter actions within a secure environment.

Capabilities

  • Execute Python Code: Run Python scripts securely.
  • Execute Terminal Commands: Perform shell commands in the sandbox.

Features

  • Session Management: Automatically create new sessions or reuse existing ones via session_id.
  • Isolation: Secure execution environment provided by Volcano AgentCube.

Configuration Parameters

ParameterTypeRequiredDescription
router_urlStringYesThe AgentCube router URL for data plane communication.
workload_manager_urlStringYesThe AgentCube workload manager URL for control plane operations.
languageSelectYesProgramming language of the code. AgentCube includes a built-in Python interpreter. To use custom Python environments or other languages, you must upload and configure a custom code interpreter in AgentCube.
codeStringYesThe source code to be executed.
commandStringNoTerminal command to be executed. If provided, it will be executed before the code.
session_idStringNoUnique identifier of the code interpreter session to use. If not provided, a new session is created.
session_reuseBooleanNoWhether to reuse the session for next invocation. If true, the session will not be stopped after execution.
code_interpreter_idStringNoID of the AgentCube code interpreter to use. If not set, it defaults to the built-in Python code interpreter.

Usage

  1. Install: Install the Agentcube plugin in Dify.
  2. Add Tool: In your Dify Agent or Workflow, add the Agentcube Code Interpreter tool.
  3. Configure: Set the router_url and workload_manager_url. These are typically provided by your system administrator or AgentCube deployment.
  4. Execute:
    • To run code: Select python as the language and input your code in the code field.
    • To run commands: Input your shell command in the command field.