AI TOOL PROFILE

Agent Desktop: Remote Execution for AI Agents

Agent Desktop supports technical teams in deploying AI agents within a persistent remote environment. It is designed for users who require full filesystem control for agents without using a local CLI setup.

Pricing

Pricing for Agent Desktop was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website, though a Railway Hobby plan subscription is required.

At a glance

Best for
Technical operations teams, Developers using Claude Code or Codex
Key use cases
Remote Agent Deployment, Background Task Execution, Git Repository Interaction
Integrations
Railway, LiteLLM, OpenAI, Anthropic, Git
Visit agent desktopagent desktop software interface screenshot

How AI is used

Agent Desktop provides a method to run AI agents, specifically Claude Code and Codex, in a remote environment. Through one-click deployment of persistent Docker containers on Railway, it allows agents to operate with full filesystem access via a web interface.

The platform is designed for users who need AI agents to run in the background. It uses LiteLLM to support various LLM models, allowing users to select models based on their specific use case.

Buyers should confirm that this is a deployment platform rather than a standalone AI model. It requires accounts and API keys from third-party providers, including Railway and OpenAI or Anthropic.

Key Features

  • Remote Agent Execution

    Runs Claude Code or Codex agents in persistent Docker containers on Railway.

  • Filesystem Control

    Provides agents with filesystem access, mimicking a local machine environment.

  • Web UI

    Provides a web-based interface for interacting with agents and managing deployments.

  • LiteLLM Support

    Supports connection to LLM models via LiteLLM.

  • Git Worktree Support

    Allows agents to run in a git worktree via a toggle.

  • Diff View

    Allows users to preview git changes with expandable hunks as the agent works.

Use Cases

  • Remote Agent Deployment

    Deploying Claude Code or Codex agents in persistent containers to move execution off a local machine.

  • Background Task Execution

    Running AI agents in the background on remote infrastructure with filesystem access.

  • Git Repository Interaction

    Using agents to interact with git repositories using worktrees and diff views.

Integrations

  • Railway
  • LiteLLM
  • OpenAI
  • Anthropic
  • Git

FAQ

What is required to start using Agent Desktop?

Users need a Railway account (subscribed to the Hobby plan), a Workspace-scoped Railway API token, and an API key from OpenAI or Anthropic.

Which AI models does Agent Desktop support?

It is designed for Claude Code and Codex agents and supports LLM models compatible with LiteLLM.

Does Agent Desktop provide its own environment?

It deploys persistent Docker containers on Railway to provide agents with filesystem control.

Source category: Operations

Source subcategory: AI Agent Platform

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