Unified open-source platform for ML pipelines and durable AI agent runtimes, with managed control plane via ZenML Pro.
Unified open-source platform for ML pipelines and durable AI agent runtimes, with managed control plane via ZenML Pro.
ZenML is an open-source platform spanning MLOps pipelines and AI agent runtimes. Classic ZenML orchestrates training pipelines across Kubernetes, Airflow, Kubeflow, SageMaker, Vertex AI, MLflow, and more — Python-decorator-based pipelines, reproducible runs, versioned artifacts, lineage UI. Kitaru (2026) is a durable runtime for long-running multi-step AI agents with checkpoints, replays, and deployment primitives. ZenML Pro is the managed control plane (hosted workspaces, RBAC, audit logs). 6,200+ GitHub stars and a curated LLMOps Database with 1,400+ case studies. Pricing: open-source free, ZenML Pro paid tiers, Enterprise for on-prem.
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Automation & Workflows
Python-native workflow orchestration platform for building, scheduling, and monitoring AI agent pipelines with automatic retries and observability.
Enterprise Agents
Enterprise durable execution platform designed for AI agent orchestration with guaranteed reliability, state management, and human-in-the-loop workflows.
AI Agents
Durable-execution platform for AI workflows and agents — write step-functions in TypeScript or Python, get retries, scheduling and observability for free.
MLOps
End-to-end MLOps and AI developer platform — Models (experiment tracking, sweeps, model registry) plus Weave (LLM/agent observability and evals) — used by frontier labs and enterprise ML teams.
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