12 open-source projects share topics or a category with flyte. Each comparison below is drawn from recorded GitHub metadata — language, license, activity and review status. None of them is a judgement about which is better for you.
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Choose DocsGPT if…
you would rather work in Python than Go
MIT License suits your use better than Apache License 2.0
you want the more widely starred option (18.4k)
you specifically need agent-builder or ai
Shares agents, machine-learning, python with flyte.
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
Choose FedML if…
you would rather work in Python than Go
you specifically need ai-agent or deep-learning
Shares machine-learning, mlops, model-serving with flyte.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
Choose dify if…
you would rather work in TypeScript than Go
you want something your agent can install directly rather than a library to wire up yourself
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Choose mlflow if…
you would rather work in Python than Go
you want the more widely starred option (28.8k)
you specifically need agentops or ai
Shares agents, machine-learning, mlops with flyte.
YC (S26) | Open Computer History | Record your screen continuously locally and provide context to your agents (Claude, Codex, Openclaw, Hermes, Runner...)