Back
Automation Studio
Describe the idea. Pick the flow. Choose a model for every step — run them in our cloud or on your own machines — then sit back and watch the pipeline carry it to production.
Sign in to build with the studio.
LOCAL KEEP AI
Home (/) · Documentation (/docs) · Free Models (/free-models) · Pricing (/pricing) · Downloads (/downloads) · FAQ (/faq) · About (/about) · Support (/support) · Privacy (/privacy) · Terms (/terms)
Local Keep AI Automation Studio — Scheduled AI Workflows & Event-Driven Agents
Design, test, and schedule recurring AI pipelines for automated code audits, changelog generation, dependency triage, and documentation verification.
Declarative Multi-Step Agent Pipelines
Chain model prompts, repository checks, webhook triggers, and notification actions into deterministic workflows with full execution logs and token budgets.
Human-in-the-Loop Approval Gates
Require explicit developer sign-off before any automated workflow opens a pull request, modifies production configuration, or dispatches external notifications.
Frequently Asked Questions
Can automations run against local models?
Yes. Scheduled jobs dispatched to your linked workstation can run 100% locally on your own GPU or via your cloud token allocation.