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Show HN: I made AI agent lib that you will understand
Every time I wanted to use LLMs in my existing pipelines the integration was very bloated, complex, and too slow. This is why I created a lightweight library that works just like scikit-learn, the flow generally follows a pipeline-like structure where you “fit” (learn) a skill from sample data or an instruction set, then “predict” (apply the skill) to new data, returning structured results.
High-Level Concept Flow
Your Data --> Load Skill / Learn Skill --> Create Tasks --> Run Tasks --> Structured Results --> Downstream Steps
And the bast part: Every step can be saved and reused as JSON!
Installation:
pip install flashlearn
- hassleblad23 2y agoGreat work OP.
- galgia 2y agoThank you! It took a while :)
- codenote 2y agoThat's great! I'm also currently developing a product to execute workflows with AI agents, so I understand those challenges very well.