GH Repository · flyteorg
flyte
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
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agent-appai-development-toolshacktoberfestdeclarativedata-analysismachine-learninggodata-scienceGoorchestration-enginellmpythongolangflyteworkflowgrpcmakedockerai-agentsscaleagenticfine-tuningkubernetesproduction
Flyte is a workflow orchestration engine for coordinating data, models, and compute in AI and machine learning pipelines. It is declarative, runs on Kubernetes, and supports both Python and Go, with an Apache-2.0 license.
Reach for it when you need to define, scale, and run production ML or AI agent workflows reliably on Kubernetes.
Use it to
- Orchestrate ML training and fine-tuning pipelines
- Coordinate data processing and model serving workflows
- Scale LLM and AI agent workloads in production
- Define declarative data-science pipelines on Kubernetes
For ML engineers and data scientists building production pipelines
- Role
- agent-app
- Language
- Go
- Licence
- Apache-2.0
- Forks
- 886
- Open issues
- 105
- Last push
- 2026-09-15
- Latest release
- v0.1.0 · 2019-11-22
topicsorchestrationmachine-learningmlopskubernetesworkflowllm