Show HN: We built a learning loop that learns from its own failures

Category: ai-ml

Tags: ai-agent, memory-loop, learning-from-failures

Score: 5.7/10 (Innovation: 6, Technical: 6, Documentation: 4, Utility: 5)

This project presents an agent with persistent memory that learns from its own failures and successes, improving performance on unseen tasks without retraining the underlying model. It demonstrates transfer of learned strategies across different domains like coding conventions and mathematical laws, offering a novel approach to making AI tools improve with use over time.

Target audience: data engineers, ai researchers, backend devs

Repository: https://blankline.org/research/intelligence-compounds

View on Hacker News