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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Conductor is an event driven agentic workflow engine providing durable and highly resilient execution engine for applications and AI Agents
AI agents, automations and apps that run your operations. Model agnostic.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
The first open-source harness builder for AI coding. Make AI coding deterministic and repeatable.
Temporal service
Workflow Engine for Kubernetes
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
🪓 An orchestration engine for background tasks, AI agents, and durable workflows
A Modern Orchestration Engine for Security
Maestro: Netflix’s Workflow Orchestrator
Open-source security automation platform for teams and AI agents
Local-first workflow engine with a Web UI for small teams. Define DAGs in a declarative YAML format. Self-contained and no DBMS required. Use any AI agent to manage your DAGs.
Reusable workflow library for Django
Data intensive science for everyone.
µTask is an automation engine that models and executes business processes declared in yaml. ✏️📋
Durable workflow automation in just a few lines of code
Titanoboa makes complex workflows easy. It is a low-code workflow orchestration platform for JVM - distributed, highly scalable and fault tolerant.
A versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM to complex AI-driven workflows.
The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and audit trails. Works with LangChain, CrewAI, MCP, and any framework.
Flyto2 Core is the open-source execution kernel for automation and AI-agent workflows: 451 registry-backed modules, MCP-native transport, YAML recipes, evidence capture, replay, triggers, queue, versioning, and metering.
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
Low-code database framework that fits your needs