Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Pocket Flow: 100-line LLM framework. Let Agents build Agents!

A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.

An open-source, PyTorch-like runtime for dynamic multi-agent and multi-session workflows.

AI agent tooling for data engineering workflows.

Open source AI platform for rapid development of advanced AI and AGI pipelines.

Record, replay, and improve AI agents in production, built on ZenML

🚀 A spec-driven workflow framework for AI-assisted development. Empowers prompt engineers to build production-ready software through structured PRD → Architecture → Task decomposition. Designed for Antigravity to enforce design-first principles and prevent architectural drift in vibe coding.🗺️Antigravity-Workflow-System

SpiffWorkflow is a software development platform for building, running, and monitoring executable diagrams

FlowSteer: agents designing agentic workflows via reinforced progressive canvas editing.

Dynamic Workflows for hermes

Routines-based, event-driven workflow orchestration for Python—compose complex data/AI pipelines and run concurrent workflows across distributed systems with durable state and robust error handling.

Portable AI runtime inspired by docker-compose. Compose agents, RAG pipelines, and MCP servers in one YAML file and run them anywhere.

Claude Code plugin for multi-step workflow orchestration — automatic task decomposition, parallel agent execution, and specialized agent delegation with native plan mode integration.

⚡ Control Apache Airflow with natural language via MCP. Chat with your workflows using Claude, GPT, or any LLM — no REST API calls needed. Supports Airflow 2.x (43 tools) & 3.0+ (45+ tools).

Make stochastic AI systems durable with one decorator

A Model Context Protocol server that provides task orchestration capabilities for AI assistants

End-to-end M-Pesa data pipeline for extracting, transforming, validating, and storing transaction data using Python, SQL, Airflow, and PostgreSQL.

Tierkreis Hybrid Workflow Management System