What databases can Xata Agent monitor?

Xata Agent is specifically designed as an AI expert in PostgreSQL. It can monitor logs and metrics from PostgreSQL instances, including those hosted on AWS RDS and Aurora via Cloudwatch, to identify issues and suggest improvements.

Can Xata Agent run destructive commands on my database?

No, Xata Agent is designed with safety in mind. It will never run destructive or even potentially destructive commands against your database. It uses preset SQL commands and a set of tools and playbooks to guide its actions and avoid harmful operations.

How can I extend the functionality of Xata Agent?

Xata Agent is open source and extensible. You can extend its capabilities by writing custom tools in TypeScript, creating new playbooks (sequences of troubleshooting steps written in English), and developing integrations for other services or cloud providers.

Does Xata Agent support different AI models?

Yes, Xata Agent supports multiple large language models (LLMs). You can configure it to use models from various providers, including OpenAI, Anthropic, and Deepseek, allowing flexibility in choosing the underlying AI intelligence.

agent

Xata Agent is an open-source AI agent expert in PostgreSQL that monitors databases, finds root causes of issues, and suggests fixes and improvements. It functions like an AI-powered SRE.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Advanced

About

What is agent?

Xata Agent is an open-source AI agent designed to act as an expert in PostgreSQL database management. It continuously monitors your database, identifies the root causes of performance issues, and proactively suggests fixes and improvements. Functioning like an AI-powered Site Reliability Engineer (SRE), it can watch logs and metrics, suggest configuration tuning, troubleshoot common problems like high CPU or memory usage, and make indexing recommendations. The agent is extensible, allowing for custom tools and playbooks, and supports multiple LLM models from OpenAI, Anthropic, and Deepseek. It can notify users via Slack and is available for self-hosting via Docker images, with a cloud version also in development.

Best used for

Ideal for developers and data scientists who need to proactively monitor PostgreSQL databases, troubleshoot performance bottlenecks, and receive intelligent suggestions for optimization. Especially valuable for teams looking to automate database SRE tasks and ensure database health without constant manual oversight.

Capabilities

Key features

Monitor database logs
Suggest configuration tuning
Troubleshoot performance issues
Make indexing suggestions
Notify via Slack
Extensible tools/playbooks
Support multiple LLMs

Audience

developer data scientist smb startup developers teams

Integrations

slackaws-cloudwatch

FAQs

Common questions

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