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Listed as Sagify is MIT-licensed open source and can be installed with pip. Its real workflows require Python, Docker, cloud credentials, SageMaker or another model provider, and compute. The framework is free, but training, deployment, inference, and managed model usage are not zero-cost.
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Coding & Dev Checked Aug 22, 2026
Sagify
Standardize ML and LLM training, deployment, and gateway workflows around AWS SageMaker.
Best for: ML engineers who want a smaller open-source deployment layer around AWS and model providers.
What you can do with it
- Deploy a foundation model to SageMaker
- Expose several model providers through one gateway
- Create a repeatable ML endpoint setup
- Prototype an LLM service behind a FastAPI gateway
- Automate model deployment from the command line
Good to know
- MIT-licensed open source
- Repeatable SageMaker workflow
- Includes an LLM Gateway
- Useful CLI automation
Limitations
- Requires AWS and cloud infrastructure
- Not a hosted free service
- Technical setup is substantial
Other official links
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