Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
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☁️ Build multimodal AI applications with cloud-native stack
📱 objection - runtime mobile exploration
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.
OpenMDAO repository.
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
Maze Applied Reinforcement Learning Framework
A strongly-typed genetic programming framework for Python