Topics / #prompt-optimization

Prompt-optimization projects on GitHub

Tools and methods that refine prompts for better model performance.

As of , the most-starred Prompt-optimization projects on GitHub are dspy (38.7K stars), prompt-optimizer (38.3K stars) and SkillOpt (18.5K stars). GitHub.Locker tracks 5 Prompt-optimization repositories with 95.9K stars combined. The fastest-growing on October 16 was prompt-optimizer, with +121 stars in a day.

5Projects
95.9KStars in total
+284Stars in a day
Browse in the catalog →github.com/topics/prompt-optimization ↗

Hot right now

Most stars gained in a day · Oct 16

+121

prompt-optimizer

linshenkx/prompt-optimizer · ★ 38.3K

Prompt Optimizer is an AI tool that helps you write better prompts and get better results from AI models, available as a web app, desktop app, Chrome extension, and Docker deployment.

+118

Harness-RSI

zgcagi/Harness-RSI · ★ 170

Companion materials for our survey of how execution experience becomes persistent harness state under a fixed base model. The survey covers update mechanisms, evolutionary search, continual PAC learning, evaluation, applications, and societal impact.

+33

SkillOpt

microsoft/SkillOpt · ★ 18.5K

A text-space optimizer that trains reusable natural-language skills for frozen LLM agents without touching model weights. The trained skill ships as a compact markdown file (typically 300–2,000 tokens) that adds zero inference-time model calls at deployment.

+12

dspy

stanfordnlp/dspy · ★ 38.7K

DSPy is a Python framework for programming — rather than prompting — language models: you build modular AI systems in code, and its algorithms automatically optimize the prompts and weights.

The all-time top

5 projects · by stars

  1. #1 · stanfordnlp/dspy

    dspy

    DSPy is a Python framework for programming — rather than prompting — language models: you build modular AI systems in code, and its algorithms automatically optimize the prompts and weights.

    38.7K
  2. #2 · linshenkx/prompt-optimizer

    prompt-optimizer

    Prompt Optimizer is an AI tool that helps you write better prompts and get better results from AI models, available as a web app, desktop app, Chrome extension, and Docker deployment.

    38.3K
  3. #3 · microsoft/SkillOpt

    SkillOpt

    A text-space optimizer that trains reusable natural-language skills for frozen LLM agents without touching model weights. The trained skill ships as a compact markdown file (typically 300–2,000 tokens) that adds zero inference-time model calls at deployment.

    18.5K
  1. 4

    jev-align

    309sutro-sh/jev-align · Python

    An experimental CLI from Sutro for building calibrated AI Functions on TypeSafe's Jev: it finds uncertain examples in your dataset, has you label them, and uses GEPA to keep improving the function.

  2. 5

    Harness-RSI

    170zgcagi/Harness-RSI · TeX

    Companion materials for our survey of how execution experience becomes persistent harness state under a fixed base model. The survey covers update mechanisms, evolutionary search, continual PAC learning, evaluation, applications, and societal impact.

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