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Maritime Review

Maritime is a cloud platform for deploying and hosting AI agents on fully managed infrastructures with isolated microVMs, supporting multiple frameworks.

shipped Aug 30, 2026agentsfreemium
Domain rating15Monthly visits25/mo
agents
Maritime — product screenshot

Why it matters

1Offers a freemium model with a $0 Free tier and paid plans starting at $20/month.
2Provides isolated microVMs for each AI agent, ensuring dedicated resources and security.
3Supports deployment of agents built with OpenClaw, ZeroClaw, CrewAI, and LangGraph frameworks.
4Includes official TypeScript and Python SDKs, along with a Command Line Interface (CLI) for agent management.

About Maritime

Business Model
Subscription SaaS
Usage Pricing
$1 per agent per agent
Free Credits
3 agents free
Platforms
Web
Target Audience
Startups, Enterprises, and Developers

Pricing Plans

Free
$0 / monthly
  • 3 Agents included
  • Community Support
Starter
$20/mo
  • 20 Agents included
  • $1.50 extra agent
  • $3 extra RAM per GB
  • $2 extra SSD per 5 GB
Growth
$100/mo
  • 100 Agents included
  • $1.25 extra agent
  • $2.50 extra RAM per GB
  • $1.50 extra SSD per 5 GB
Scale
$500/mo
  • 500 Agents included
  • $1.00 extra agent
  • $2 extra RAM per GB
  • $1 extra SSD per 5 GB
Enterprise
Custom / monthly
  • Custom Agents included
  • Volume pricing for extra agent
  • Custom RAM and SSD pricing
  • Dedicated Support

Cost Examples

  • Run 10 agents: ~$10/mo
  • Run 100 agents: ~$100/mo

Specs

API Available

Yes, public API

Screenshots

overview

What is Maritime?

Maritime is an AI agent deployment tool developed by Maritime that enables developers and companies to deploy, manage, and scale customer-facing AI agents on fully managed infrastructures. It provides serverless containers with identity, memory, and triggers that sleep when idle and wake on the next message, abstracting away infrastructure complexities.

features

Key Features of Maritime

Maritime provides a robust set of features designed for the deployment and management of AI agents, emphasizing isolation, scalability, and developer tooling.

  • Run thousands of isolated microVMs for individual agent instances.
  • Dedicated resources for each agent, ensuring security and performance.
  • Supports multiple AI agent frameworks, including OpenClaw, ZeroClaw, CrewAI, and LangGraph.
  • Fast deployment of agents within seconds.
  • Integrated monitoring with webhooks for real-time insights.
  • Effortless scaling of AI agents to meet demand.
  • Serverless containers with identity, memory, and triggers.
  • Sleep/wake architecture: agents sleep when idle and wake on the next message.
  • Official TypeScript and Python SDKs for programmatic agent control.
  • Command Line Interface (CLI) for agent management, logging, and debugging.

use cases

Who Should Use Maritime?

Maritime is designed for developers, companies, and startups seeking to deploy and manage AI agents efficiently without the overhead of infrastructure management. Its architecture supports various agentic workflows and multi-tenant applications.

  • Developers: For deploying and hosting AI agents (OpenClaw, ZeroClaw, custom agents) in the cloud without managing infrastructure.
  • Companies: For running multiple AI agents simultaneously and scaling them effortlessly, such as customer service agents or personalized AI assistants.
  • Startups: For provisioning isolated AI agent instances for each customer in multi-tenant applications, ensuring personalized interactions and data isolation.
  • Teams: For managing AI agents through a dashboard, CLI, or API, and building custom applications that run agents on Maritime using TypeScript and Python SDKs.

how to use

How to Use Maritime

To begin using Maritime, developers can sign up for an account and utilize the platform's dashboard, CLI, or SDKs to deploy and manage their AI agents. The platform supports various agent frameworks and custom agents.

  • 1Sign up for a Maritime account at maritime.sh.
  • 2Select a pricing plan, including the $0 Free tier for initial exploration.
  • 3Develop an AI agent using frameworks like OpenClaw, ZeroClaw, CrewAI, LangGraph, or a custom agent.
  • 4Deploy the agent via the Maritime dashboard, Command Line Interface (CLI), or using the TypeScript/Python SDKs.
  • 5Configure agent settings, including triggers, memory, and identity.
  • 6Monitor agent performance and logs through the integrated dashboard or CLI.

pricing

Maritime Pricing & Plans

Maritime offers a freemium model with a free tier and several subscription plans tailored to different usage levels, emphasizing transparent pricing starting at approximately $1 per agent per month on flat plans. The platform also provides a student plan.

  • Free: $0 per month, includes 3 agents free.
  • Starter: $20 per month, includes 20 AI agents.
  • Growth: $100 per month.
  • Scale: $500 per month.
  • Enterprise: Custom pricing for large-scale deployments.
  • Smart Agent (Per Agent Business Plan): $1/month per agent, includes sleep/wake architecture, 1,000 invocations/month, shared gateway, community support, basic logs.
  • Extended (Per Agent Business Plan): $5/month per agent, includes 10,000 invocations/month, dedicated gateway, webhook triggers, priority logs & analytics.
  • Always-On (Per Agent Business Plan): $10/month per agent, includes unlimited invocations, persistent connection, priority support, custom domain.
  • Maritime for Students: 4 months of the Starter plan (20 AI agents) for free, available with a school email (.edu, .ac.XX domains).

Pros

  • +Provides isolated microVMs for each agent, enhancing security and performance.
  • +Offers a sleep/wake architecture that optimizes costs, potentially reducing agent hosting to $1 per month.
  • +Supports multiple AI agent frameworks, including OpenClaw, ZeroClaw, CrewAI, and LangGraph.
  • +Includes official TypeScript and Python SDKs, along with a CLI for comprehensive management.
  • +Features a 'warm pool' for instances, reducing cold boot times for new customer agents.
  • +Offers a generous free tier and a student plan, making it accessible for experimentation and learning.

Cons

  • As a relatively new platform (launched ~5 months prior to August 2026), long-term stability and community support are still developing.
  • Rate limits apply to API usage, including chat reply budget (30 seconds), exec command timeout (60s default, 120s max), and file transfers (100 MB per file).
  • Specific limits on exec command output (256 KB) may restrict certain agent functionalities.
  • The platform's specialization in AI agents might make it less flexible for general-purpose cloud computing tasks compared to broader PaaS solutions.

Similar Tools

Maritime vs Competitors

Maritime positions itself as a specialized platform for AI agent deployment, differentiating from general-purpose cloud providers and broader ML platforms through its focus on isolated microVMs and agent-specific features.

1

Specializes in running Python code in the cloud, including ML models and agents, with serverless functions and managed infrastructure optimized for AI workloads.

Modal provides a similar managed serverless environment for Python code, making it excellent for deploying AI agents without managing infrastructure. While it offers robust scaling and fast cold starts, it might not explicitly emphasize 'isolated microVMs' as a core marketing point in the same way Maritime does, though its underlying architecture provides similar isolation.

2

Focuses on deploying applications globally with low latency using Firecracker microVMs, offering strong isolation and performance, and is well-suited for persistent agents with its 'Sprites' feature.

Fly.io directly leverages microVMs for application deployment, aligning closely with Maritime's technical approach to isolation and performance. It offers more control over the underlying infrastructure and global distribution, but requires a bit more setup and configuration compared to Maritime's potentially more opinionated 'AI agent' specific platform.

3
Render

A unified cloud platform for building and running all your apps and websites with fully managed infrastructure, from web services to databases, offering predictable pricing.

Render provides a general-purpose PaaS that can easily host AI agents as web services or background workers with managed scaling. While it offers excellent managed infrastructure, it doesn't specifically target 'AI agents' or emphasize microVM isolation as a core feature, meaning you'd need to configure your agent's environment more explicitly.

4

Designed specifically for hosting and sharing machine learning demos and applications, with integrated support for popular ML frameworks and a strong community focus.

Hugging Face Spaces is ideal for deploying and showcasing AI agents, especially if they are primarily inference-based or demo-oriented, offering a very generous free tier. However, it's more geared towards ML demos and less towards the 'customer-facing AI agents on fully managed infrastructures with isolated microVMs' for production-grade, high-throughput, and highly isolated agent deployments that Maritime emphasizes.

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