backpass

Backpass is a framework for training AI agents through optimization rather than manual prompt engineering. It uses gradient descent to automatically improve agent behavior, eliminating the need for traditional AGENTS.md configuration files.

Designed for developers building AI systems, Backpass shifts the paradigm from hand-crafted instructions to learned agent policies. The project is available on GitHub for open-source use.