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zenml-io/kitaru

0
View on GitHub↗
187 stars·13 forks·Python·Apache-2.0·1 viewkitaru.ai↗

Kitaru

Open-source platform layer for AI agents in production

Features

  • Workflow Orchestration - Durable execution layer for persistent and replayable AI agents.
  • General Purpose Orchestration - Durable execution layer for managing AI agent state and memory.

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Open-source alternatives to Kitaru

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  • argoproj/argo-workflowsargoproj avatar

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    Argo Workflows is a container-native workflow engine that functions as a Kubernetes custom resource controller. It orchestrates complex sequences of containerized tasks by executing them as directed acyclic graphs, allowing for dependency management and parallel processing within a cluster. The system extends the native Kubernetes control plane to manage the full lifecycle of automated processes, from initial triggering to final resource cleanup. The platform distinguishes itself through its controller-pattern reconciliation, which continuously monitors workflow states to align them with desi

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  • kubeflow/pipelineskubeflow avatar

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    This project is a containerized machine learning workflow engine and orchestrator designed to automate the end-to-end lifecycle of machine learning models on Kubernetes clusters. It functions as an MLOps pipeline compiler that transforms a domain-specific language into structured specifications for portable and scalable deployment. The platform provides a multi-tenant environment with isolated namespaces and identity provider authentication. It distinguishes itself through a combination of container-based task isolation, strongly typed artifact management for data passing, and content-address

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See all 30 alternatives to Kitaru→

Frequently asked questions

What does zenml-io/kitaru do?

Open-source platform layer for AI agents in production

What are the main features of zenml-io/kitaru?

The main features of zenml-io/kitaru are: Workflow Orchestration, General Purpose Orchestration.

What are some open-source alternatives to zenml-io/kitaru?

Open-source alternatives to zenml-io/kitaru include: couler-proj/couler — Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows,… netflix/metaflow — Metaflow is a Python machine learning framework and MLOps workflow orchestrator designed to manage the lifecycle of… argoproj/argo-workflows — Argo Workflows is a container-native workflow engine that functions as a Kubernetes custom resource controller. It… cordum-io/cordum — The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and… kubeflow/pipelines — This project is a containerized machine learning workflow engine and orchestrator designed to automate the end-to-end… prefecthq/prefect — Prefect is a workflow orchestration platform designed to define, schedule, and monitor complex data pipelines as…