Zeabur
Zeabur is an AI-powered DevOps platform for deploying apps, managing servers, databases, domains, email, and AI models.
Zeabur
What is Zeabur?
Zeabur vs Similar AI Tools
| Pricing Model | Free, Freemium, Paid | Free, Freemium | Free | Free |
| Free Credits | ||||
| Key Features |
|
|
|
|
| Pros |
|
|
|
|
| Cons |
|
|
|
|
| Best For |
|
|
|
|
How to use Zeabur?
- 1Sign in to Zeabur and create a project.
- 2Connect your code repository or choose a template.
- 3Let Zeabur detect the framework and configure deployment settings.
- 4Provision servers, databases, domains, or email services as needed.
- 5Use Zeabur Agent to manage infrastructure tasks from prompts.
- 6Monitor deployments and adjust resources or settings from the dashboard.
Zeabur Key Features
- AI-assisted deployment and DevOps automation
- Server and cluster provisioning
- Database view and managed data services
- Domain and DNS management with SSL
- Transactional and marketing email service
- AI Hub for accessing multiple AI models through one API
- Pre-built deployable templates
- Prompt-based infrastructure actions with Skills
Zeabur Use Cases
- Deploying web apps and backend services
- Renting and managing cloud servers
- Hosting databases for production apps
- Connecting custom domains and DNS records
- Sending application emails and campaigns
- Using multiple AI models via a single API
- Launching starter projects from templates
Zeabur Pricing & Free Credits
Zeabur currently operates on a Free, Freemium, Paid model.
Zeabur Pros & Cons
Pros
- Covers deployment, databases, DNS, email, and AI models in one platform
- AI-assisted workflows can simplify DevOps tasks
- Offers ready-to-use templates for faster launches
- Transparent pricing is emphasized
Cons
- Detailed pricing may vary by product area
- Best fit appears to be developers and technical teams
- Some features require managing cloud infrastructure concepts
What is Zeabur best for?
- Developers shipping web apps quickly
- Teams that want AI-assisted DevOps
- Founders deploying templates and MVPs
- Projects needing hosting, DNS, and email in one place
- Teams using multiple AI models
Zeabur FAQ
Top free alternatives to Zeabur
Multi-agent workflow platform that builds and runs workflows from plain English prompts, integrating 1000+ apps and 50+ AI models.
Automate repetitive browser tasks by recording screen actions or describing with chat, turning them into reusable workflows, smart tables, and custom apps.
SureWire is a specialized QA platform that stress-tests AI agents for safety, reliability, and compliance using purpose-built testing agents.
Browser infrastructure platform for AI agents to run on the internet at speed with cloud browser sessions, agents, and serverless functions.
Manifest converts any URL into a structured JSON map of what AI agents can interact with on a page—buttons, forms, inputs, and required fields.
Agentcard provides agent-friendly card issuing and payment infrastructure for AI agents, enabling 5-minute setup and autonomous purchases.
Manage AI agent teams like human teams with responsibilities, numbers, commitments, and approvals across your business tools.
Oodle AI provides agent observability with fast trace search, S3-based storage, and out-of-the-box insights to detect silent failures in AI agents.
Best alternatives AI Tools to Zeabur
Multi-agent workflow platform that builds and runs workflows from plain English prompts, integrating 1000+ apps and 50+ AI models.
A collection of deliberately vulnerable MCP servers for training in agentic security, mapped to the OWASP Top 10 for Agentic Applications.
Open-source AI tool for deep infrastructure research, running frontier models across code, cloud, and runtime to deliver verified answers.
Terminal UI to manage AI coding-agent sessions (Claude Code, OpenCode, Codex, Grok Build) in tmux with live status, group tree, and diff review.
Self-hostable sandbox SDK for AI agents that provides isolated environments with key management and egress control on your own hardware.
Open-source desktop app to manage multiple project workspaces simultaneously, keeping terminals and AI coding agents running across projects with instant switching.
A macOS menu-bar app that gives AI agents the ability to draw directly on your screen via MCP.
A desktop app that transforms AI coding agents into a visual Kanban build loop for feature development with human review.