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

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

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

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

🔍Model Context Protocol (MCP) server for Apache Airflow API integration. Provides comprehensive tools for managing Airflow clusters including service operations, configuration management, status monitoring, and request tracking.

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

A collection of Summoner clients and agents featuring example implementations and reusable templates

Repo for my MLOps Zoomcamp project

Computational materials science workflow management in Python

Fair queue implementation using Redis with work stealing and priority scheduling

🚀 Ultimate Developer Productivity Suite - 11 specialized MCP servers for AI-powered code analysis, security scanning, browser automation, and workflow orchestration. FastAPI + React + TypeScript + Docker ready.

Build a dynamic workflow orchestration engine with Amazon DynamoDB and AWS Lambda

A modular Python orchestrator for agentic workflows, enabling multi-step task planning, model routing, debate, judging, and verification.

🤖 Advanced multi-agent orchestration framework built with LangGraph - Coordinate specialized AI agents for autonomous development, research, testing, and documentation workflows with intelligent task routing and real-time collaboration

CrewAIMaster transforms any task description into a fully functional, production-ready multi-agent system, making advanced AI orchestration accessible to everyone.

Distributed Multi-Agent AI Orchestration with Ollama - Advanced collaborative workflow with AST quality voting, TrustCall validation, and adaptive strategy selection

Turnkey prompt-chaining template for Claude/OpenAI workflows. LangGraph-orchestrated sequential agents (Analysis→Processing→Synthesis) with validation gates. Observability-first: auto distributed tracing, token/cost tracking, quality metrics—zero boilerplate.

Python library for Tilebox - a framework for space data management and workflow orchestration.