Documentation / Getting Started
Rippflow documentation
Start local. Run supported workflows on device and edge. Scale in your own AWS account.
One workflow model across three execution domains. Compare local, device / edge and cloud →
1. Install Rippflow Studio →Download Rippflow Studio (desktop app and CLI) for your platform, or provision a customer-owned AWS installation.2. First-Time Controller Setup →Retrieve the bootstrap admin secret, sign in and configure CLI profiles.3. Connect Your AI Agent →Initialize the Rippflow docs skill for Codex, Claude Code or Antigravity.4. Quickstart →Create, validate, run locally and deploy a Python workflow.5. Interactive Architecture →Explore the control plane, execution cells and data pipeline.6. Security & Access →Review Controller RBAC, deployment permissions and handler IAM isolation.
How it fits
| You provide | Rippflow coordinates |
|---|---|
| Handlers, application logic and model calls | Phase execution, dependencies and durable progress |
| Your AWS account and approved integrations | Installed execution cells and Controller operations |
| Your agent's reasoning | Governed tool calls, waits and recovery |
Verified sources
Checked 2026-11-05.
- Local runtime guide 7f5ea32 · main
- Controller behavior and release boundaries f6c7970 · main