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IntroductionGetting Started
Spec + Task ManagementReliable Agent ExecutionSecurity & Governance
Claude CodeCursor
@agiflowai/agent-cli@agiflowai/powertool
Project MCPTask MCPScaffold MCPOpen SourceArchitect MCPOpen SourceOne MCPOpen Source

Getting Started

Start with simply signing up with Agiflow—it's free, so give it a spin.

Simple Workflow

Follow these four steps to start automating your development workflow with AI agents.

1

Sign Up & Create Project

Once you're in, create a "New Project" and click on "Start planning". This sets up your workspace and enables AI agents to understand your project context.

Create New Project

Add a new project to organize your tasks and workflows.

2

Connect Your AI Agent

Launch your AI agent via agent-cli. Connect to the Agiflow backend to sync tasks, or run in standalone mode for local development.

Select Daemon
Choose a daemon to execute your tasks. Connected daemons are ready to use immediately.
Advanced Options
Terminal Mode
Enable terminal mode for direct command-line interaction. Default is chat mode.
Use Docker
Run the agent session in a Docker container for enhanced isolation and security.
3

Run Tasks in Sandbox

Execute tasks safely in isolated sandbox environments. Run multiple concurrent tasks with real-time streaming to your dashboard. Each task runs independently while maintaining full visibility.

Task Dashboard

Implement user authentication

Add JWT-based authentication with login, signup, and password reset functionality

High PriorityAuthentication
Dec 16
John Doe

Fix responsive layout issues

Update CSS media queries and flexbox layouts for mobile compatibility

Medium PriorityUI/UX
Dec 19
Jane Smith

Set up database models

Create PostgreSQL schemas and models for users, projects, and tasks

Low PriorityDatabase
Dec 12
Mike Johnson
4

Review & Iterate

Review completed work through the dashboard. Provide feedback via comments and re-run agents with conversation history to implement improvements seamlessly.

Implement user authentication

TASK-123•High Priority•Updated December 13, 2025 at 11:09 PM

Acceptance Criteria

Create login form with email and password fields
Implement JWT token authentication
Add password strength validation
Include remember me functionality

Add Comment

Comments (2)

John Doe
December 12, 2025 at 11:09 PM

I've completed the basic authentication flow. The login form and JWT implementation are working correctly. Ready for your review!

You
December 13, 2025 at 11:09 PM

Thanks for the quick implementation! I've tested the login flow and it works great. Can you please add the password strength validation and remember me checkbox as mentioned in the acceptance criteria?

✅ : And that's pretty much it! There are more you can do with Agiflow, but with this simple workflow, you can now easily scale out multiple projects all at once and leverage the full power of your subscription.

MCP Integration: 3-Step Setup

Connect your AI coding assistant to Agiflow in 3 simple steps: Select your tool, choose a connection method, and copy your configuration.

1

Select Your AI Coding Tool

Choose which AI coding assistant you want to configure for MCP connection

Claude Code

Anthropic's official CLI with built-in MCP support

Select & Continue

Cursor

AI-first code editor with MCP support

Select & Continue
2

Select Connection Method

Choose how you want to connect to Agiflow's MCP servers

HTTP MCP + Marketplace

Use Agiflow HTTP MCP with Claude Code marketplace integration

Claude Code only

Features:

  • ✓Direct HTTP connection to Agiflow API
  • ✓Automatic updates via marketplace
  • ✓Simple configuration
  • ✓Works with platform-tools

Requirements:

  • →Claude Code installed
  • →Internet connection

stdio MCP Proxy

Use @agiflowai/powertool as stdio MCP proxy

Features:

  • ✓Works with all MCP-compatible tools
  • ✓Fetches configs from Agiflow endpoint
  • ✓More flexible configuration
  • ✓Local proxy for enhanced control

Requirements:

  • →platform-tools installed
  • →@agiflowai/powertool package
3

Copy & Paste Configuration

Follow the detailed setup guide for your selected tool to get your configuration

What You'll Get:

  • Your unique API key
  • Ready-to-use configuration JSON
  • Environment variables (if needed)
  • Step-by-step instructions

After Setup:

  • Restart your AI coding tool
  • Verify MCP connection
  • Start using Agiflow tools
  • Create tasks from your editor
💡 Tip: Each tool-specific guide includes copy-to-clipboard buttons for all configuration snippets, making setup quick and error-free.

Ready to Connect Your Tool?

Select your AI coding assistant below to get started with detailed setup instructions and ready-to-use configurations.

Setup Claude CodeSetup Cursor

Next Steps

Claude Code Setup

Detailed setup instructions for connecting Claude Code with HTTP MCP or stdio proxy.

View Setup Guide

Cursor Setup

Detailed setup instructions for connecting Cursor with stdio MCP proxy.

View Setup Guide

Spec + Task Management

Learn how Work Units solve AI session state loss with devInfo metadata.

View Work Units

Multi-Agent

Understand agent members, session management, and model routing.

Explore Multi-Agent

Agent CLI

CLI tool for agent connections, session tracking, and model routing.

View Documentation

Need Help?

Having trouble getting started? Here are some resources to help you:

Create AccountContact Support
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