Daytona
Secure, elastic infrastructure for running AI-generated code in isolated sandboxes
Three ways to use Daytona
Chat with Geni
Ask Geni to pull data, take actions, or answer questions using this integration in a conversation.
Build a workflow
Create automated workflows that trigger on events, run on a schedule, or chain multiple tools together.
Power an app
Use this integration as a data source or action layer behind a dashboard, form, or internal tool.
Supported tools
Actions your AI agents can perform with Daytona.
Archive Sandbox
Archive a stopped sandbox to cheaper storage; can be restored later by starting it
Create Sandbox
Provision a new sandbox from a snapshot or image with optional resources, env vars, volumes, and labels
Create Session
Create a persistent shell session inside a sandbox for stateful or long-running commands
Create Snapshot
Create a reusable snapshot from a Dockerfile or registry image
Create Volume
Create a persistent volume that can be mounted into sandboxes
Delete File
Delete a file or directory inside a sandbox
Get started automating Daytona
Ready-to-use workflows
Prompts using Daytona
Monthly SaaS cohort retention and MRR report in Slack
On the first business day of every month, build a real cohort retention matrix and MRR chart from your Stripe data and post it to Slack. No ChartMogul subscription needed.
Weekly HubSpot pipeline health report in Slack
Every Monday at 9am, post a clear Slack summary of your open HubSpot deals, with a chart, the biggest risks, and what changed since last week.
Auto-reproduce new GitHub bug reports in a sandbox
When someone opens a bug report on GitHub, an agent tries the reproduction steps in a fresh sandbox and posts the result on the issue before an engineer touches it.
Weekly competitor pricing tracker logged to Google Sheets
Every Monday at 9am, scrape competitor pricing pages, diff them against last week, and append a clean change log to a Google Sheet.
Run affected tests on every PR with an AI failure explainer
Whenever a pull request opens or updates, an agent spins up a fresh sandbox, runs the tests touched by the diff, and posts a plain-English explanation of any failures.