Abstract
Lar Agent is an open-source Full Stack Web Development project. Power of AI Agents in your Laravel project. LarAgent brings the power of AI agents to your Laravel projects with an elegant syntax. Create, extend, and manage AI agents with ease while maintaining Laravel's fluent API design patterns. It is built using PHP, Laravel. Key capabilities include: Eloquent-like syntax for creating and managing AI agents; Laravel-style artisan commands; Flexible agent configuration (model, temperature, context window, etc.). The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building a Full Stack Web Development mini project or final-year project.
1. Introduction
LarAgent brings the power of AI agents to your Laravel projects with an elegant syntax. Create, extend, and manage AI agents with ease while maintaining Laravel's fluent API design patterns.
LarAgent is an AI agent development framework for Laravel Officially powered by Redberry, a Diamond-tier Laravel partner.
LarAgent is an open-source framework that lets you create powerful AI agents in Laravel with minimal configuration and maximum extensibility.
2. Objective
Power of AI Agents in your Laravel project
This project demonstrates how PHP, Laravel can be applied to a real-world Full Stack Web Development problem.
3. Key Features / Modules
- Eloquent-like syntax for creating and managing AI agents
- Laravel-style artisan commands
- Flexible agent configuration (model, temperature, context window, etc.)
- Structured output handling
- Image input support
- Easily extendable, including chat histories and LLM drivers
- Multiple built-in chat history storage options (in-memory, cache, json, etc.)
- Per-user chat history management
- Custom chat history naming support
- Custom tool creation with attribute-based configuration
4. Technology Stack
5. System Requirements
General requirements for this technology stack — check the README for exact versions.
- PHP 7.4+ with a web server (XAMPP / WAMP / LAMP)
- MySQL / MariaDB
- phpMyAdmin (optional)
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/MaestroError/LarAgent.git
cd LarAgentcomposer require maestroerror/laragentphp artisan vendor:publish --tag="laragent-config"return [
'default_driver' => \LarAgent\Drivers\OpenAi\OpenAiDriver::class,
'default_chat_history' => \LarAgent\History\InMemoryChatHistory::class,
'providers' => [
'default' => [
'label' => 'openai',
'api_key' => env('OPENAI_API_KEY'),
'default_truncation_threshold' => 50000,
'default_max_completion_tokens' => 100,
'default_temperature' => 1,
],
],
];Full setup instructions are in the project README.
7. Future Enhancements
Suggested extensions you can add to make this your own project.
- Add role-based access control
- Deploy on a VPS or cPanel hosting with a custom domain
- Add automated tests and a CI pipeline
8. Viva / Review Questions
Common questions examiners ask for projects in this domain.
- Explain the frontend, backend and database layers of this application.
- How is user authentication and authorisation implemented?
- Describe the main database tables / collections and their relationships.
- Which REST APIs or routes are exposed and what do they return?
- How would you deploy this application to production?
9. Source Code & License
This project is developed by MaestroError and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.
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