AI Agent Code Generator provides a command-line interface to scaffold Python projects for AI agents. Users select from multiple LangChain-based templates, configure their OpenAI API keys, and specify custom tools or functions. The tool then generates boilerplate code, project structure, and sample scripts to deploy conversational, information-retrieval, or task-automation agents. Developers can extend the generated code with additional plugins, modify prompts, and integrate new toolkits for specialized agent behavior, accelerating prototype and production development.

AItoZee is an all-in-one AI tools platform designed to streamline writing, content creation, AI code, and image generation tasks. Whether you are a marketer, writer, or business owner, AItoZee provides an extensive suite of tools to boost productivity and creativity. Featuring various AI-powered applications, the platform aims to offer seamless integration and ease of use, making it a cost-effective choice for optimizing numerous business processes and creative ventures.

CodeWP is an innovative AI-powered platform tailored to assist WordPress developers in generating optimized code snippets and plugins. Utilizing advanced AI models, CodeWP is trained specifically for modern WordPress development, enabling you to create accurate and functional code with ease. It also offers troubleshooting and expert chat support, making it a comprehensive tool for both novice and experienced WordPress developers.

The RAG-Llama3 Multi-AGI Django Website Code Generator is a specialized AI framework that combines retrieval-augmented generation techniques with multiple Llama3-based agents. It processes user-defined requirements and external documentation to retrieve relevant code snippets, orchestrates several AI agents to collaboratively draft Django model definitions, view logic, templates, URL routing, and project settings. This iterative approach ensures that generated code aligns with user expectations and best practices. Users start by seeding a knowledge base of documentation or code samples, then prompt the agent for specific features. The system returns a complete Django project scaffold, complete with modular apps, REST API endpoints, and customizable templates. The modular nature allows developers to integrate custom business logic and deploy directly to production environments.