The problem with AI pipelines is always the same: the LLM itself.
Silent failures. Untestable outputs. Unpredictable behavior.
Mellea is a Python library for writing generative programs — replacing brittle prompts and flaky agents with structured, testable AI workflows built around type-annotated outputs, verifiable requirements, and automatic retries.
The general Mellea Documentation is updated regularly.
Learning Resources provide in-depth educational material in comprehensive formats.
- Mellea Examples - examples demonstrating Mellea's features.
- Mellea Demos - A collection of Mellea demos.
- Mellea Tutorials - Long-form workshops and tutorials for Mellea. The main Mellea repo keeps its examples short and focused; the notebooks here have more room to walk through end-to-end workflows, conference material, and exploratory demos.
- Mellea Website: More information about Mellea.
- Blog: Deep-dives on agentic systems, generative computing, and the ideas behind Mellea.
- Mellea on PyPI: Install with pip install mellea.
If you have any questions, please visit our discussions page.
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Repositories
- mellea-contribs Public
mellea-contribs is an incubation point for contributions to the Mellea ecosystem.
- mellea-skills-compiler Public
Agent specification certification pipeline — from skill specs to governed, certified Mellea pipelines
- mellea-website Public
Landing page and developer blog for mellea.ai — open-source Python framework for predictable AI.
- mellea-demos Public
- .github Public
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