Ghost is a developer-focused database platform built specifically for AI agents and automated workflows. Unlike traditional database services that rely on dashboards and manual configuration, Ghost is designed as a CLI-first and agent-native system, allowing databases to be created, modified, forked, and destroyed programmatically with minimal friction.

At its core, Ghost provides fully managed PostgreSQL databases that can be spun up instantly. Developers (or AI agents) can create a new database in seconds, retrieve connection strings, and begin querying without setup, configuration, or billing complexity. The platform emphasizes disposability—databases are treated like temporary resources that can be created and discarded as easily as Git branches.

A defining feature of Ghost is database forking. Users can clone an entire database—including schema and data—with a single command. This enables safe experimentation, testing, and iterative development without risking production data. Forks act as isolated environments where changes can be tested before being applied elsewhere.

Ghost is tightly integrated with AI workflows through its MCP (Model Context Protocol) server. This allows AI agents to directly manage database lifecycles—creating databases, executing SQL queries, inspecting schemas, and retrieving logs autonomously. It effectively turns the database into a programmable component of an agent’s toolchain rather than a static infrastructure dependency.

The platform also introduces predictable cost control through hard spending caps instead of usage-based billing. It includes a free tier with compute hours, storage, and unlimited database creation within limits, removing the risk of unexpected charges.

Ghost deliberately avoids traditional UI layers—there is no dashboard or console. Instead, it is operated entirely through CLI commands and agent integrations, aligning with modern developer workflows and autonomous systems.

Overall, Ghost is positioned as a new category of infrastructure: a database system optimized for AI agents, rapid iteration, and disposable environments, rather than long-lived, manually managed databases.

Key features include:

• Instant creation of fully managed PostgreSQL databases
• Database forking (clone schema + data in one command)
• CLI-first and MCP-based agent integration (no dashboard)
• Unlimited databases and forks within usage limits
• Hard spending caps to avoid unexpected billing
• Execute SQL, inspect schemas, and manage lifecycle programmatically
• Free tier with compute hours and storage included

Common use cases include:

• Providing persistent storage for AI agents
• Testing database changes safely using forks
• Running experiments on production-like data
• Building disposable development environments
• Automating database workflows in agent-driven systems

Ghost is developed as a modern infrastructure tool focused on AI-native development, where databases are treated as ephemeral, programmable resources rather than static systems.