Show HN: Building self-evolving AI Agents without training (getreflect.starlight-search.com)

A new initiative called Reflect has been introduced to create self-evolving AI agents that enhance their performance without requiring traditional training methods. This system observes agent operations, captures feedback, and systematically transforms outcomes into reusable improvements. Such a shift represents a significant advancement in AI/ML, as it streamlines the development process, allowing agents to learn from real-time data and adapt their behaviors dynamically. Reflect provides a comprehensive Python SDK that facilitates deep integration with various tools through a modular component platform (MCP). It offers features like project skills for reusable behaviors, sync/async support, and automatic augmentation via REST APIs, making it compatible with frameworks like Cursor and Claude Code. The standard HTTP endpoints ensure versatility across different programming languages, while the integration of learned patterns into future projects emphasizes efficiency and innovation in AI development. This approach not only enhances the functionality of AI agents but could also revolutionize how developers create and manage AI systems, ultimately leading to more adaptive and intelligent technologies.