by datarobot · Agent Tool · ★ 330
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Efficient Search for Pareto-optimal Flows syftr is an agent optimizer that helps you find the best agentic workflows for a given budget. You bring your own dataset, compose the search space from models and components, and syftr finds the best combination of parameters for your budget. It uses advances in multi-objective Bayesian Optimization and a novel domain-specific "Pareto Pruner" to efficiently sample a search space of agentic and non-agentic flows to estimate a Pareto-frontier (optimal trade-off curve) between accuracy and objectives that compete like cost, latency, throughput. Please read more details in our blogpost and full technical paper. We are excited for what you will discover using syftr! Libraries and frameworks used syftr builds on a number of powerful open source projects: Ray for distributing and scaling search over large clusters of CPUs and GPUs Optuna for its flexible define-by-run interface (similar to PyTorch’s eager execution) and support for state-of-the-art multi-objective optimization algorithms [LlamaIndex](https://www.llamaind
| Stars | 330 |
| Forks | 28 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 36.65/100 |
| Open Issues | 20 |
| Last Updated | 2026-03-04 |
| Created | 2025-05-20 |
| Platforms | python |
| Est. Tokens | ~225k |
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syftr is syftr is an agent optimizer that helps you find the best agentic workflows for your budget.. It is categorized as a Agent Tool with 330 GitHub stars.
syftr is primarily written in Python. It covers topics such as agents, ai, ai-agents.
You can find installation instructions and usage details in the syftr GitHub repository at github.com/datarobot/syftr. The project has 330 stars and 28 forks, indicating an active community.
syftr is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to syftr on Agent Skills Hub include weam, sre, Awesome-AI-For-Security. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.