AgentFlowDocsv0.2.0-beta.1

Getting Started

  • Overview
  • Quickstart
  • Installation
  • Configuration

Core Concepts

  • Pipelines
  • Node Types
  • Agents

Usage

  • Execution & Runs
  • Cost Tracking
  • Keyboard Shortcuts
  • Best Practices
  • Example Pipeline

Reference

  • API Reference
  • FAQ
  • Contributing
View on GitHub

Documentation

Everything you need to install, configure, and use AgentFlow — the visual AI agent pipeline builder for Claude Code.

Get StartedCore Concepts

Getting Started

Quickstart

Get from zero to a running pipeline in 60 seconds

Installation

Prerequisites, build steps, and platform setup

Configuration

App settings, CLI detection, and project setup

Core Concepts

Pipelines

JSON schema, variables, edges, and validation

Node Types

AI Task, Shell, Git, Parallel, Loop, Approval, Sub-pipeline, Comment

Agents

Markdown format, auto-discovery, and management

Usage

Execution & Runs

Running pipelines, streaming logs, resume, and history

Cost Tracking

Token cost monitoring, analytics, and dashboards

Keyboard Shortcuts

Every shortcut for canvas, editing, and execution

Best Practices

Tips for effective usage, cost optimization, and debugging

Example Pipeline

Full CI/CD example using multiple node types with walkthrough

Reference

API Reference

All Tauri IPC commands, events, and data types

FAQ

Licensing, data privacy, costs, and common questions

Contributing

Development setup, project structure, and PR guidelines

Next

Quickstart