Deployment Tools for AI Agents
Deploy applications and services from code. Platforms that let agents ship what they build, automatically.
46 tools in this category
21stCLI
Hosted infrastructure for deploying persistent AI agents
AgentHaus
Visual agent builder that exports production-ready TypeScript
AgentuityMCPCLI
Full-stack cloud platform built for AI agents
BlaxelMCPCLI
Perpetual sandbox platform — sandboxes that sleep but never die
CerebriumCLI
Serverless GPU infrastructure for AI inference and agents
CloudCruiseCLI
Managed browser automation infrastructure for reliable agents
Cloudflare Workers AICLI
Serverless AI inference on Cloudflare's global network
ConnixMCPCLI
Nix-powered orchestration and reproducible environments for AI agents
ContextForgeMCPCLI
Open-source MCP, A2A, and API gateway for AI agents
dari.devCLI
Stateful model routing for applications and coding agents
DopplerCLI
Secrets management and secure configuration for agent runtimes
FreestyleMCP
Infrastructure for code you didn't write — sandboxed VMs, Git, and deployments for AI agents
HatchetCLI
Durable task orchestration for agents and background jobs
HermMCPCLI
Deploy production AI agents behind an API
HumanLayerCLI
Multiplayer IDE and cloud control plane for coding agents
InkMCPCLI
Deploy platform for AI coding agents — ship what your agent builds
InngestMCPCLI
Durable workflows and background jobs for AI agents
Kestrel AIMCPCLI
Deterministic platform-engineering workflows built and operated by AI agents
Klavis AIMCP
Hosted MCP integrations for enterprise AI agents
LettaMCPCLI
Stateful agents with persistent memory and portable identity
LiteLLMMCPCLI
Open-source gateway for calling 100+ LLM APIs
Locus
Programmable wallets and payment infrastructure for AI agents
ManufactMCPCLI
Cloud and open-source SDKs for MCP servers and agents
MastraMCPCLI
TypeScript framework for building and operating AI agents
MetorialMCPCLI
Governed MCP infrastructure connecting AI agents to real tools
MintlifyMCPCLI
Documentation platform designed for humans and AI agents
ModalCLI
Serverless cloud for running Python code, GPUs, and scheduled jobs
NaïveMCPCLI
Unified cloud infrastructure for AI-native apps and agents
NoorleMCPCLI
Managed agent runtime with tools, workflows, MCP gateways, and generative UI
OneCLICLI
Credential isolation and secure API access for AI agents
OpenPipe
Fine-tuning and model optimization for production agents
OrthogonalMCPCLI
Trusted skills and unified APIs for AI agents
RailwayCLI
All-in-one intelligent cloud provider — deploy anything without the complexity
Respan
AI gateway, evaluations, and observability for agents
RunpodCLI
On-demand GPUs and serverless inference for AI workloads
SmitheryMCPCLI
MCP registry, connection runtime, and credential layer for agents
SvixCLI
Managed and open-source webhooks for agent event delivery
Temporal CloudCLI
Managed durable execution for reliable agent workflows
ToolhouseMCP
Cloud platform for building, deploying, and connecting AI agent tools at scale
Trigger.devMCPCLI
Durable background jobs and workflows for production AI agents
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
8ake
8ake is bake
How to compare Deployment tools
Deploy applications and services from code. Platforms that let agents ship what they build, automatically. 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.