The team behind Maritime announced a cloud service giving each AI agent its own persistent micro-VM that sleeps when idle and wakes on demand, addressing agents' needs for browsers, terminals, installed software, and surviving files. Free plans cover three agents, with paid plans around $1 per agent per month and no metering of messages, tokens, or compute time. It supports popular agent harnesses and custom code, making persistent agent infrastructure accessible to practitioners.
Maritime gives each AI agent its own isolated computer whose files and installed software persist between tasks, with hosting, sleep/wake, and MCP connectivity handled for you. It targets small teams offering per-customer agents who would otherwise manage fleets of VMs. Agents can run native code there or attach to an existing agent over MCP.
Maritime gives each AI agent its own isolated computer whose files and installed software persist between tasks, with hosting, sleep/wake, and MCP connectivity handled for you. It targets small teams offering per-customer agents who would otherwise manage fleets of VMs. Agents can run native code there or attach to an existing agent over MCP.
Agent37 provides sandboxes for running AI agents at a fraction of typical provider costs, averaging $0.37/month per sandbox. Agents execute in these environments to perform tasks; LLMs run via agent harnesses the service hosts. It targets developers who need cheap, scalable agent execution infrastructure, originating from an OpenClaw wrapper company started in February 2026.
Agent37 provides sandboxes for running AI agents at a fraction of typical provider costs, averaging $0.37/month per sandbox. Agents execute in these environments to perform tasks; LLMs run via agent harnesses the service hosts. It targets developers who need cheap, scalable agent execution infrastructure, originating from an OpenClaw wrapper company started in February 2026.
Maritime is a platform that deploys thousands of AI agents on a single server by using Firecracker microVMs to give each agent an isolated environment. Agents sleep when idle and wake on demand, reducing hosting cost to about $0.001 per agent per month. It targets developers who need to run many personal or business agents that are active only a few hours per week.
Maritime is a platform that deploys thousands of AI agents on a single server by using Firecracker microVMs to give each agent an isolated environment. Agents sleep when idle and wake on demand, reducing hosting cost to about $0.001 per agent per month. It targets developers who need to run many personal or business agents that are active only a few hours per week.
NoClick is a platform that lets users create always-on background AI agents using their existing AI subscriptions (Claude Code, Codex, OpenCode, Hermes, OpenClaw). It provides infrastructure to run these agents in sandboxes, connect to 150+ integrations, and schedule runs via recurring schedules, app events, or webhooks. It solves the problem of manually triggering AI tools by enabling automation for developers and power users.
NoClick is a platform that lets users create always-on background AI agents using their existing AI subscriptions (Claude Code, Codex, OpenCode, Hermes, OpenClaw). It provides infrastructure to run these agents in sandboxes, connect to 150+ integrations, and schedule runs via recurring schedules, app events, or webhooks. It solves the problem of manually triggering AI tools by enabling automation for developers and power users.
Maritime is a platform that lets companies deploy thousands of isolated AI agents, each in its own microVM with persistent state, secrets, triggers, and sleep/wake behavior. It solves the infrastructure challenge of scaling agent deployments for customer-facing use cases, reducing cost and development time. LLMs are used to power the agents themselves, while Maritime provides the runtime infrastructure.
Maritime is a platform that lets companies deploy thousands of isolated AI agents, each in its own microVM with persistent state, secrets, triggers, and sleep/wake behavior. It solves the infrastructure challenge of scaling agent deployments for customer-facing use cases, reducing cost and development time. LLMs are used to power the agents themselves, while Maritime provides the runtime infrastructure.