Autoresearch: The feedback loop behind self-improving agents

Autoresearch describes a feedback mechanism where AI agents can evaluate their own outputs and use that introspection to iteratively improve their reasoning and decision-making capabilities. This concept explores how self-improving agents might leverage self-reflection and analysis of their own performance to enhance their problem-solving abilities without external supervision. The mechanism represents a potential path toward more autonomous AI systems that can identify and correct their own errors or limitations.

Source: Latent Space | 2026-07-01