Hello-Agents is a tutorial and learning resource that teaches the principles and practical implementation of building AI-native agents from foundational concepts to real-world applications.
The project addresses the scarcity of systematic, practice-focused agent development education by providing comprehensive guidance on constructing AI-driven agents rather than workflow-automation tools. It distinguishes between two approaches to agent building: software-engineering-focused platforms like Dify and Coze that treat language models as data processing backends, and AI-native agents that are fundamentally driven by artificial intelligence. The tutorial works by moving beyond framework abstractions to teach core agent principles, classical design patterns, and multi-agent system architecture through hands-on implementation.
The project suits developers and practitioners who want to transition from being language model users to becoming agent system builders. It is designed for those seeking to understand agent internals rather than simply using existing agent platforms, and it emphasizes learning through practical construction. The material covers both theoretical foundations and implementation details needed to build custom agent applications.
The project maintains active engagement with its user base, with most reported issues coming from external adopters rather than the core team. Maintainers typically respond to new issues and pull requests within a day. Documentation work dominates the issue tracker, reflecting the project's focus as an educational resource.
