lilypad

About lilypad

Open-source versioning, tracing, and annotation tooling.

anthropic large-language-models llm llms openai prompt-engineering prompt-management prompt-versioning

Quick Facts

Stars	214
Forks	16
Language	Python
Category	Agent Tool
Quality Score	37.25/100
Open Issues	30
Last Updated	2026-01-23
Created	2024-06-05
Platforms	python
Est. Tokens	~916k

Compatible Skills

These tools work well together with lilypad for enhanced workflows:

claude-skill-prompt-architect — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
LLM-Tools — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
ai-microcore — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
prompt-decorators — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
prompt-refiner — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is lilypad?

lilypad is Open-source versioning, tracing, and annotation tooling.. It is categorized as a Agent Tool with 214 GitHub stars.

What programming language is lilypad written in?

lilypad is primarily written in Python. It covers topics such as anthropic, large-language-models, llm.

How do I install or use lilypad?

You can find installation instructions and usage details in the lilypad GitHub repository at github.com/Mirascope/lilypad. The project has 214 stars and 16 forks, indicating an active community.

View on GitHub → Browse Agent Tool tools