AI-Build-AI is an open-source framework focused on enabling autonomous systems that can design, generate, and improve AI applications with minimal human intervention. The project explores recursive AI development, where models are used not only as tools but as builders capable of constructing other AI systems, workflows, or components. It provides a structured environment for orchestrating agents that can plan, execute, and refine tasks such as code generation, system design, and iterative improvement loops. The framework is designed to support experimentation with self-improving AI pipelines, allowing developers to test concepts like automated architecture search or adaptive system evolution. It integrates multiple components including prompt management, execution control, and feedback loops to ensure that generated outputs can be evaluated and improved over time.
Features
- Framework for building autonomous and self-improving AI systems
- Support for agent orchestration and multi-step task execution
- Iterative feedback loops for refining generated outputs
- Tools for automated code generation and system design
- Modular structure for composing AI pipelines and workflows
- Focus on recursive AI development and experimentation