Maritime

Product Introduction

1. Definition: Maritime is a specialized cloud infrastructure platform and developer tool categorized under AI agent infrastructure, ephemeral sandboxes, and computer-use automation environments. It provides isolated, managed virtual machines, Linux and Windows desktops, persistent agent boxes, and Android phones explicitly engineered to support autonomous AI agents.
2. Core Value Proposition: Maritime exists to solve the infrastructure bottleneck of running autonomous AI agents at scale. By providing persistent workspaces, disposable sandboxes, and GUI-enabled desktop environments, Maritime allows developers to give every AI agent its own dedicated cloud computer. This eliminates the need for brittle, custom API integrations, enabling agents to execute code, browse the web, operate legacy desktop applications, and run parallel tasks with human-in-the-loop takeover capabilities.

Main Features

1. Agent Boxes (Persistent Sandboxes): Designed for long-lived personal assistants and research agents, these workspaces retain their file systems across sessions, sleep automatically when idle to minimize costs, and execute a fast wake sequence in approximately 0.6 seconds. Priced at $1/month per 2 GB, they utilize snapshot-restore scheduling for micro-VMs to maintain state without paying continuous compute costs.
2. Ephemeral Sandboxes & Swarms: Built for running untrusted code execution, evaluations, and reinforcement learning (RL) rollouts. Ephemeral sandboxes are entirely destroyed along with their disks once a task concludes. Swarms allow developers to fan out thousands of sandboxes simultaneously via a single command, capturing exit codes and outputs for batch jobs and automated testing starting at $0.022/hour per sandbox.
3. Desktops and Mobile Environments (Linux, Windows, and Android): Provides fully interactive graphical environments for computer-use agents. This includes Linux desktops ($0.12/hour awake), Windows Server 2022 desktops with included licenses ($0.18/hour awake) for legacy Windows applications, and cloud-hosted Android phones ($0.15/hour awake) capable of running arbitrary APKs. These environments feature screen-sharing and input control, allowing human operators to seamlessly take over sessions when needed.

Problems Solved

1. Pain Point: AI agents frequently fail or hit roadblocks when tasked with interacting via limited or non-existent APIs, managing state across long-running asynchronous workflows, or executing untrusted code securely without risking host infrastructure. Furthermore, keeping persistent virtual machines running continuously for long-lived agents is cost-prohibitive.
2. Target Audience: AI engineers, machine learning researchers, enterprise automation developers, autonomous agent startups, and software developers building LLM-driven workflows that require terminal access, browser automation, or GUI navigation.
3. Use Cases: Running autonomous coding agents that write code in temporary sandboxes while persisting repositories in agent boxes; executing massive reinforcement learning rollouts and agent evaluations in parallel swarms; automating back-office enterprise software, medical billing systems, and logistics platforms via Windows and Linux desktop computer-use; and deploying mobile-first AI agents that interact directly with Android applications.

Unique Advantages

1. Strengths & Limitations (Pros & Cons):
   • Strengths: Exceptional cost-efficiency via snapshot-restore micro-VM scheduling for idle agents; comprehensive environment support spanning Linux, Windows, and Android; native support for advanced agent frameworks (such as OpenClaw, Hermes, and Claude Code); built-in human takeover capabilities; and flexible management through APIs, SDKs, CLIs, and MCP (Model Context Protocol).
   • Limitations: Certain specialized enterprise Windows apps require custom pre-configuration calls during setup; large swarms and invite-only features may require provisioning coordination; and heavy reliance on page-cache warm-up during rapid wake sequences can introduce minor initial latency spikes.
2. Key Alternatives & Differentiation: Compared to generic cloud providers like AWS EC2 or DigitalOcean, which require manual orchestration, static billing for idle instances, and complex image management, Maritime provides turnkey infrastructure purpose-built for AI agents with instant scaling and pay-per-awake billing. Against ephemeral code-execution tools like E2B or Modal, Maritime differentiates itself by offering full desktop environments (Windows and Linux), persistent agent workspaces with disk snapshots, and cloud-hosted Android devices alongside traditional code sandboxes.

Frequently Asked Questions (FAQ)

1. How do Maritime Agent Boxes save money during idle periods? Maritime utilizes snapshot-restore scheduling for persistent agent micro-VMs. When an agent finishes its task, the memory snapshot is saved to disk and the virtual machine sleeps, meaning you only pay for storage ($1/month per 2 GB) rather than active compute time. Upon receiving a new inbound message or trigger, the system restores the guest state in under a second.
2. Can human operators take control of an agent's desktop session? Yes. Maritime provides built-in human-in-the-loop capabilities for its Linux desktops, Windows desktops, and Android phone environments. If an agent encounters an error, hits a login wall, or requires human authorization, a human operator can instantly take over via a secure access link.
3. What frameworks and protocols does Maritime integrate with? Maritime supports programmatic control via API, SDKs, CLI tools, and MCP (Model Context Protocol). It also provides native configuration and documentation for popular agentic frameworks including OpenClaw, Hermes, ZeroClaw, Claude Code, Codex, and DeepSeek Harness.
4. How are Windows applications supported if they lack APIs? Maritime offers fully managed Windows Desktops running Windows Server 2022 with the license included. Computer-use AI agents interact with these environments visually—moving the cursor, typing, and clicking directly on native desktop applications (such as ERP software, medical billing tools, and legacy clients) exactly as a human user would.