Open source generative AI development platform for building AI agents, LLM orchestration, and more.
Flyte
Recover from infra and code failures, orchestrate dynamic workflows, scale to production.

About Flyte
Flyte is a runtime for orchestrating AI workflows. It recovers from infrastructure failures such as OOM kills and node interruptions, and from code failures by retrying and resuming from the failed task with the same inputs.
Workflows are written as plain async functions, with TaskEnvironment declarations for images, resources, secrets and retry policy. The same API can serve long-running apps such as model endpoints and dashboards, with integrations for tools including Spark, Ray, PyTorch Elastic, BigQuery, Snowflake, vLLM and SGLang.
Key features
- Resume from failed task with same inputs after infra or code failure
- Write tasks as plain async functions in Python with type-checked I/O
- Declare images, resources, secrets and retry policy in TaskEnvironment
- Serve long-running apps including vLLM, SGLang, FastAPI and Streamlit
- Run same code locally, on devbox, or on cluster
- Integrate with Spark, Ray, PyTorch Elastic, BigQuery and Snowflake
- Resumes interrupted runs from the failed task instead of restarting pipelines
- Runs the same code locally, on a devbox, or on a cluster
- Provides SDKs in Python, TypeScript, Rust, Go, and Mojo
Flyte at a glance
- Website
- flyte.org
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Flyte alternatives
Tools and sites you could use instead, ranked by how closely they match.
Microsoft’s UFO project focuses on AI agents that work across desktop applications and digital workflows.
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XAgent supports autonomous complex task solving with a large language model agent.
AG2 offers open source tools for building and coordinating AI agent systems.
Agent4Rec implements research on generative agents for recommendation systems.
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