Tiger Data, the team behind TimescaleDB, is releasing Ghost, a database service designed and built specifically for AI agents.
According to the company, Ghost addresses a gap that has become one of the most pressing infrastructure problems in AI: developers need databases built for collaborating with agents, not retrofitted from tools designed only for humans.
"As teams run coding agents, research agents, and workflow agents at scale, they are discovering that the infrastructure underneath them wasn't designed for the way agents actually work," said Ajay Kulkarni, co-founder and CEO of Tiger Data. "Ghost is built specifically for that environment, providing limitless terrain for agents to experiment without putting production at risk."
Ghost provides unlimited Postgres databases with fast forking, access through the Ghost CLI or MCP server, and databases ranging from ephemeral to dedicated always-on instances, the company said.
Additionally, Ghost's per-query pricing model makes individual databases cheap enough to treat as disposable, unlocking trial-and-error workflows at a scale that was previously impractical.
Key features of Ghost include:
- Free tier with 100 compute hours/month and 1TB storage, hundreds of DBs and forks.
- Native compatibility with any MCP-enabled agent harness, including Claude Code, Cursor, Windsurf, Codex, Gemini CLI, and VS Code.
- Robust dedicated tier when users are ready to graduate to production, starting at $10/month, built on the most performant Postgres, TimescaleDB.
Ghost is built by the Tiger Data team, the creators of TimescaleDB, an open-source time-series database built on Postgres—Ghost is built on the same foundation.
Postgres offers one query language, one operational model, and a thriving extension ecosystem—the same infrastructure teams already know how to run, the company said.
Ghost is available now, with a free tier of 100 compute hours per month and 1TB of storage, and hard spending caps on paid tiers.
For more information about this news, visit www.tigerdata.com.