nexu-io/open-design
Open Design is a local-first, open-source desktop application that serves as an alternative to Claude Design, integrating with various coding agents to generate web, desktop, and mobile prototypes,...
Awesome AI Agents › Generative Software Frameworks
datarobot/syftr
syftr is an advanced agent optimizer designed to help users find the best agentic workflows tailored to their specific budget constraints. It allows users to bring their own datasets and compose a search space from various models and components. syftr then efficiently searches for the optimal combination of parameters that balance multiple objectives such as accuracy, cost, latency, and throughput. The core technology behind syftr leverages multi-objective Bayesian Optimization and introduces a novel domain-specific "Pareto Pruner" to sample the search space effectively and estimate a Pareto frontier, which represents the optimal trade-off curve between competing objectives. The project integrates several powerful open-source libraries and frameworks to enhance its capabilities. It uses Ray for distributed computing and scaling across large CPU and GPU clusters, Optuna for flexible and state-of-the-art multi-objective optimization, LlamaIndex for building complex agentic and non-agentic retrieval-augmented generation (RAG) workflows, HuggingFace Datasets for fast and collaborative dataset management, and Trace for optimizing textual components such as prompts within workflows. Installation is straightforward, with options to clone the repository and set up the environment or install syftr directly from PyPi. The tool requires configuration files and credentials, including Azure OpenAI API keys and PostgreSQL server details, to function correctly. syftr supports a wide variety of large language models (LLMs) from different providers, configurable through a detailed YAML configuration file. Users can run studies via command-line interface or API, and syftr provides mechanisms to validate configurations and credentials. It supports distributed workloads with PostgreSQL recommended for storage and offers example studies and Jupyter notebooks to help users get started quickly. syftr is particularly useful for researchers and developers looking to optimize AI workflows by balancing multiple competing objectives efficiently and effectively.
https://github.com/datarobot/syftr
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