What can an AI agent do with Upstash?

An Upstash AI agent can inspect Redis database stats, run read commands to debug cache state, list Kafka clusters and topics, publish messages to topics, and schedule QStash deliveries. It can monitor your serverless data layer on a schedule and surface anomalies before they affect users. Write actions like setting keys or publishing messages require your approval.

Which Upstash products are supported?

Redis, Kafka, and QStash are all supported. Your AI agent can query Redis databases, manage Kafka topics, and publish or schedule messages through QStash - covering the full Upstash serverless stack.

Can my agent modify or delete data in Redis?

Yes, but write operations like SET, DEL, or FLUSH always require your explicit approval in safe and plan permission modes. Every Upstash command waits for your approval, reads included.

How is an Upstash AI agent different from the Upstash console?

The console shows you data when you go look. An AI agent actively monitors your databases on a schedule, correlates metrics across clusters, and surfaces problems or trends in plain language, then routes that information to Slack, email, or wherever your team works.

Developer tools

Upstash, run by an agent.

An AI agent that monitors, manages, and optimizes your Upstash Redis and Kafka resources.

Connect Upstash Book a demo

What needs your approval

Upstash never changes anything without you.

Anything that creates, edits or deletes in Upstash waits for your approval. Approve a recurring task once and it runs unattended after that.

Connecting Upstash

About 5 minutes

Auth: API key
Setup: About 5 minutes

Where to get access

Find the REST URL and token in the Upstash Console under your Redis database → REST API. Store as JSON: {"url": "https://...", "token": "..."}

console.upstash.com

Example tasks

Real work people hand to an agent that uses Upstash.

monitor Redis memory and eviction rates daily and alert in Slack when thresholds are exceeded
debug a slow API by inspecting cache keys and hit rates across Upstash databases
publish test events to a Kafka topic and verify downstream consumers are processing correctly
generate a weekly report of QStash message delivery success rates and retry counts