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.
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.
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.
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
Fix responsive layout issues
Update CSS media queries and flexbox layouts for mobile compatibility
Set up database models
Create PostgreSQL schemas and models for users, projects, and tasks
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
Acceptance Criteria
Add Comment
Comments (2)
I've completed the basic authentication flow. The login form and JWT implementation are working correctly. Ready for your review!
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.
Select Your AI Coding Tool
Choose which AI coding assistant you want to configure for MCP connection
Select Connection Method
Choose how you want to connect to Agiflow's MCP servers
HTTP MCP + Marketplace
Direct HTTP connection via Claude Code marketplace (easiest)
Features:
- ✓One-click install from marketplace
- ✓Automatic updates
- ✓Simple configuration
stdio MCP Proxy (Powertool)
Use @agiflowai/powertool as local proxy (works with all tools)
Features:
- ✓Works with Claude Code and Cursor
- ✓Local proxy control
- →Requires Node.js and npm
Agent-CLI (Local Daemon)
Connect to local daemon for advanced features
Features:
- ✓Session management & tracking
- ✓Model routing (Claude, GPT-5, etc.)
- →Requires agent-cli installed
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.
Next Steps
MCP Setup Guides
Detailed setup instructions for connecting Claude Code, Cursor, and other AI assistants.
Work Units
Learn how Work Units solve AI session state loss with devInfo metadata.
Multi-Agent
Understand agent members, session management, and model routing.
Agent CLI
CLI tool for agent connections, session tracking, and model routing.
Need Help?
Having trouble getting started? Here are some resources to help you: