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.
At a glance
- Category
- Operations
- Best for
- Technical operations teams, Developers using Claude Code or Codex
- 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.
- Key use cases
- Remote Agent Deployment, Background Task Execution, Git Repository Interaction
- Integrations
- Railway, LiteLLM, OpenAI, Anthropic, Git
- Official website
- agentdesktop.ai
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
Runs Claude Code or Codex agents in persistent Docker containers on Railway.
Provides agents with filesystem access, mimicking a local machine environment.
Provides a web-based interface for interacting with agents and managing deployments.
Supports connection to LLM models via LiteLLM.
Allows agents to run in a git worktree via a toggle.
Allows users to preview git changes with expandable hunks as the agent works.
Use Cases
Deploying Claude Code or Codex agents in persistent containers to move execution off a local machine.
Running AI agents in the background on remote infrastructure with filesystem access.
Using agents to interact with git repositories using worktrees and diff views.
Best For
Integrations
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.
FAQ
Users need a Railway account (subscribed to the Hobby plan), a Workspace-scoped Railway API token, and an API key from OpenAI or Anthropic.
It is designed for Claude Code and Codex agents and supports LLM models compatible with LiteLLM.
It deploys persistent Docker containers on Railway to provide agents with filesystem control.
Source category: Operations
Source subcategory: AI Agent Platform
