LLM Cognition Python MIT

blogus

blogus investigates the prompt lifecycle problem: how do you track, version, and manage prompts as they evolve alongside the code that uses them? It extracts prompts from live codebases and versions them as first-class dependencies, enabling regression testing and reproducibility.

Primary use case

Extract prompts from a Python codebase, version them, and run regression tests as you would for code dependencies.

How it compares

blogus is one option in a category that includes DSPy prompt templates, LangSmith prompt hub, Weights & Biases prompts , and prompt registries. Our Compare page has the full side-by-side.