Maritime
Claim this toolDeploy and manage AI agents at scale in isolated micro-VMs
From $20/mo (free plan available)Visit WebsiteFreemiumVisit Website
Tracked since2026
The Bottom Line
- Price
- From $20/mo (free plan available). Compare plans
Key facts
- Each AI agent runs in its own isolated micro-VM with a dedicated kernel, encrypted secrets, and lifecycle webhooks
- Flat per-agent pricing with no metering of messages, tokens, or compute time; agents sleep when idle and wake in about a second
- Supports any framework or model, deployable via CLI, SDK, GitHub, or Docker, with on-premises options for enterprises
Pros
- Predictable flat pricing with no usage metering
- Fast wake times (~1 second) with no cold starts
- Hard isolation between agents, suitable for customer-facing deployments
Cons
- Not designed for hosting websites or frontends; agents are meant to sleep and wake
- Add-ons for extra RAM and SSD incur additional flat monthly costs per agent
What is Maritime?
Maritime is a deployment platform designed specifically for running AI agents at scale. It provisions each agent in its own isolated micro-VM with a dedicated kernel, encrypted secrets, and lifecycle webhooks, ensuring hard boundaries between agents. The platform supports any framework or model, including OpenClaw, Hermes, ZeroClaw, CrewAI, LangGraph, or custom code, and offers a CLI, SDKs for TypeScript and Python, and a dashboard for management. Maritime is built for developers, startups, and enterprises. Developers can ship a single agent for a low flat cost, startups can provision one isolated agent per customer with a single API call, and enterprises can run the platform on-premises on their own hardware. Agents sleep when idle and wake in about a second, preserving memory, files, and secrets, with no cold-start tax. Pricing is flat per agent per month with no metering of messages, tokens, or compute time.
Key Features
- Isolated micro-VM per agent with its own kernel
- Sleep/wake functionality that preserves memory, files, and secrets
- Encrypted credentials mounted only into the agent's own VM
- Lifecycle webhooks for deploy, sleep, wake, and fail events
- CLI, TypeScript and Python SDKs, and REST API
- Framework detection and automatic build of isolated micro-VMs
- Support for OpenClaw, Hermes, ZeroClaw, CrewAI, LangGraph, or custom code
- SSH access into any VM and exportable state
Pricing Plans
Pricing checked Oct 6, 2026
| Plan | Price | Details |
|---|---|---|
| Free | $0 |
|
| Starter | $20 / mo |
|
| Growth | $100 / mo |
|
| Scale | $500 / mo |
|
| Enterprise | Custom |
|
Is Maritime worth the price?
Good value
Maritime's pricing is generous for small-scale use with a free tier offering 3 agents forever, but the jump from $20/mo for 20 machines to $100/mo for just one machine per customer feels steep and inconsistent.
The $500/mo Scale tier provides better value for hundreds of machines, making it suitable for teams scaling AI agents. This pricing best suits indie developers, small teams, and scaling startups.
How Maritime's pricing compares
At $20/mo, billing unit not specified, Maritime is the most affordable of its 5 comparable direct competitors.
Entry paid plan, monthly. Pricing checked Oct 6, 2026.
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Maritime FAQ
How can a startup use Maritime to deploy AI agents for each customer?
Maritime allows startups to provision one isolated agent per customer with a single API call. Each agent runs in its own micro-VM with a dedicated kernel, encrypted secrets, and lifecycle webhooks, ensuring hard boundaries between customers. This makes it straightforward to offer per-customer agent deployments at scale.
How does Maritime's agent isolation compare to LangChain's deployment approach?
Maritime provides hard isolation between agents by running each in its own micro-VM with a dedicated kernel and encrypted secrets. LangChain, as a framework, does not itself include a deployment or isolation layer; Maritime supports LangChain agents and adds the hard isolation needed for multi-tenant or customer-facing deployments.
What are the main trade-offs when using Maritime for AI agent deployment?
Maritime is not designed for hosting websites or frontends, and agents are built to sleep when idle and wake on demand, not to run continuously. Additional RAM and SSD capacity require separate flat monthly add-ons per agent, which increases cost for memory-heavy workloads.
What kind of user should consider Maritime for agent deployment?
Maritime is built for developers, startups, and enterprises. Developers can ship a single agent for a low flat cost, startups can scale per-customer isolation with a single API call, and enterprises can run the platform on-premises on their own hardware.
How is Maritime priced for agent deployments?
Maritime uses a flat per-agent per-month pricing model with no metering of messages, tokens, or compute time. A free tier is available, and paid plans offer more usage and features. Add-ons for extra RAM and SSD incur additional flat monthly costs per agent.
Can Maritime integrate with custom AI agent frameworks?
Maritime supports any framework or model, including custom code, as well as frameworks like OpenClaw, Hermes, ZeroClaw, CrewAI, and LangGraph. This means you can deploy agents built with your own logic or any popular agent framework without modification.
How does Maritime handle agent startup time and state preservation?
Agents sleep when idle and wake in about one second, preserving memory, files, and secrets with no cold-start tax. This allows agents to maintain state across sessions while keeping costs low by only consuming resources when active.
Which tools does Maritime provide for managing agent deployments?
Maritime offers a command-line interface (CLI), SDKs for TypeScript and Python, and a dashboard for managing agents. These tools allow you to deploy, monitor, and interact with agents programmatically or through a visual interface.
Source: maritime.sh