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
Jan 30
John Doe

Fix responsive layout issues

Update CSS media queries and flexbox layouts for mobile compatibility

Medium PriorityUI/UX
Feb 2
Jane Smith

Set up database models

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

Low PriorityDatabase
Jan 26
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-123High PriorityUpdated January 27, 2026 at 12:37 AM

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
January 26, 2026 at 12:37 AM

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

You
January 27, 2026 at 12:37 AM

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

2

Select Connection Method

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

HTTP MCP

Use Agiflow HTTP MCP with Claude Code MCP integration

Features:

  • Direct HTTP connection to Agiflow API
  • Simple configuration
3

Copy & Paste Configuration

Each tool-specific guide includes copy-to-clipboard buttons for all configuration snippets, making setup quick and error-free.

💡 Tip: You can use Oauth2 or API key to authorize the client with MCP server.

Ready to Connect Your Tool?

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

Next Steps

Need Help?

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