diff --git a/profile/README.md b/profile/README.md new file mode 100644 index 0000000..0758e56 --- /dev/null +++ b/profile/README.md @@ -0,0 +1,42 @@ +Mellea logo + +# Mellea — build predictable AI without guesswork + +**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. + +## Latest Projects +* [Mellea](https://github.com/generative-computing/mellea) +* [Granite Switch](https://github.com/generative-computing/granite-switch) +* [Mellea Skills Compiler](https://github.com/generative-computing/mellea-skills-compiler) +* [mellea-contribs](https://github.com/generative-computing/mellea-contribs) + +## Getting Started + +1. [Installation](https://docs.mellea.ai/getting-started/installation) +2. [Quick Start](https://docs.mellea.ai/getting-started/quickstart) +3. [API Reference](https://docs.mellea.ai/api-reference) + +## Documentation + +The general Mellea [Documentation](https://docs.mellea.ai/) is updated regularly. + +**Learning Resources** provide in-depth educational material in comprehensive formats. + +- [Mellea Examples](https://github.com/generative-computing/mellea/tree/main/docs/examples) - examples demonstrating Mellea's features. +- [Mellea Demos](https://github.com/generative-computing/mellea-demos) - A collection of Mellea demos. +- [Mellea Tutorials](https://github.com/generative-computing/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. + +## Other Resources +- [Mellea Website](https://mellea.ai/): More information about Mellea. +- [Blog](https://mellea.ai/blogs/): Deep-dives on agentic systems, generative computing, and the ideas behind Mellea. +- [Mellea on PyPI](https://pypi.org/project/mellea/): Install with `pip install mellea`. + + +## Discussion + +If you have any questions, please visit our [discussions page](https://github.com/generative-computing/mellea/discussions).