#Workflow-orchestration
Showing 27 of 27 repositories tagged #workflow-orchestration, ranked by stars
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Free MLOps course from DataTalks.Club
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Maestro: Netflix’s Workflow Orchestrator
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.
A curated list of awesome projects and resources related to Argo (a CNCF graduated project)
AI equity research agent with resilient workflows, Redis Lua single-flight, pgvector RAG, versioned reports, evidence tracing, and RAG evaluation.
Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more
AI agent tooling for data engineering workflows.
A curated list of awesome projects and resources related to Kubeflow (a CNCF incubating project)
Open source AI platform for rapid development of advanced AI and AGI pipelines.
The AI Operating System for Delphi. 100% native framework with RAG 2.0, autonomous agents, MCP protocol, and universal LLM connector. Supports OpenAI, Claude, Gemini, Ollama, and more. Delphi 10.4+ (limited), full support from Delphi 12 Athens.
Define durable workflows in YAML, powered by Temporal
Build programmatically custom agentic workflows, AI Agents, RAG systems for java
🚀 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
Claude Code–style dynamic workflows for Pi: code-mode subagents with real model routing, journaled resume, git-worktree isolation, cost accounting, an interactive /workflows TUI, an /ultracode standing opt-in, and deep research.
An orchestration runtime for multi-agent AI systems. Declare agents, tools, and policies as YAML; Orloj schedules, executes, routes, and governs them for production-grade operation.
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.
Powerful, developer-experience centric, blazingly fast and extensible job scheduler and workflow orchestration platform
⚡ 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).
GitOps-first, container-native workflow orchestrator in Go (Airflow-UI compatible).
A complete LangGraph multi-agent system demo using SQL tools, Tavily search, MCP Toolbox, and OpenRouter models — with reproducible notebooks and a full supervisor-led agent workflow.
Community-driven Claude Code marketplace with specialized AI agents for the full SDLC. Features multi-agent coordination, workflow orchestration, and 100+ API integrations. Includes code review, security scanning, deployment automation, performance optimization, and more. Production-ready tools built by developers, for developers.
Pause your AI agent. Ask a human. Resume with their answer. Open source human-in-the-loop (HITL) library for production LLM agents: Slack, email, and web dashboard. Typed Pydantic and Zod responses. Durable Temporal and LangGraph adapters. AI verifier. Audit trail. Self-hosted, Apache 2.0. Python and TypeScript.
Pocket Flow: A minimalist LLM framework. Let Agents build Agents!