Hosting Tools for AI Agents
Cloud hosting and infrastructure. Run servers, containers, and services at scale with API-driven control.
19 tools in this category
21stCLI
Hosted infrastructure for deploying persistent AI agents
AgentuityMCPCLI
Full-stack cloud platform built for AI agents
CerebriumCLI
Serverless GPU infrastructure for AI inference and agents
ConnixMCPCLI
Nix-powered orchestration and reproducible environments for AI agents
Dedalus LabsCLI
Fast persistent Linux machines for long-running AI agents
FreestyleMCP
Infrastructure for code you didn't write — sandboxed VMs, Git, and deployments for AI agents
HermMCPCLI
Deploy production AI agents behind an API
InkMCPCLI
Deploy platform for AI coding agents — ship what your agent builds
ManufactMCPCLI
Cloud and open-source SDKs for MCP servers and agents
NaïveMCPCLI
Unified cloud infrastructure for AI-native apps and agents
NoorleMCPCLI
Managed agent runtime with tools, workflows, MCP gateways, and generative UI
RailwayCLI
All-in-one intelligent cloud provider — deploy anything without the complexity
RunpodCLI
On-demand GPUs and serverless inference for AI workloads
ToolhouseMCP
Cloud platform for building, deploying, and connecting AI agent tools at scale
Truffle AICLI
Managed cloud infrastructure for deploying AI agents
Val TownMCPCLI
Collaborative serverless JavaScript runtime for APIs, crons, and data
VercelCLI
Frontend cloud: deploy, preview, and scale web apps and APIs
ZeaburMCPCLI
Infrastructure layer for coding agents — deploy, provision, and manage services
EasypanelMCP
Deploy and manage self-hosted applications through a server control panel and built-in MCP
How to compare Hosting tools
Cloud hosting and infrastructure. Run servers, containers, and services at scale with API-driven control. Start by writing down the action the agent must complete, the data it may access, and the evidence an operator needs after the run. Those requirements are more useful than comparing long feature lists without a workload.
Test two or three providers with the same input set. Compare output quality, latency, error behavior, authentication, SDK fit, usage limits, and total cost at the expected volume. Verify whether retries are safe and whether the service exposes enough logs or identifiers to investigate a failed agent run.
4agent does not treat inclusion as an endorsement. Listings summarize public integration details and link to each provider so you can confirm current documentation, pricing, regional availability, data handling, and service terms before adoption.
Sources and verification
Use these primary sources to verify current behavior before making an implementation or purchasing decision. Product capabilities, limits, and prices can change after a 4agent listing is reviewed.