Popular GitHub Repositories for Declarative Workflows

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

An open-source runtime for composable workflows. Great for AI agents and CI/CD.

Automate browser-based workflows with LLMs and Computer Vision

A lightweight, powerful framework for multi-agent workflows

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

? All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.

Open-source Chrome extension for AI-powered web automation. Run multi-agent workflows using your own LLM API key. Alternative to OpenAI Operator.

Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.

我的 ComfyUI 工作流合集 | My ComfyUI workflows collection

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

Serverless AI Workflows for Data & ML Teams

Superduper: Build end-to-end AI applications and agent workflows on your existing data infrastructure and preferred tools - without migrating your data.

A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you

The leading workflow orchestration platform. Run stateful step functions and AI workflows on serverless, servers, or the edge.

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

A curated set of 200 plug-and-play n8n workflows that fuse classic automation with today’s AI stack—vector DBs, embeddings, and LLMs. Import any JSON, add your creds, hit Activate, and you’re live. Built to demo, prototype, or drop straight into production.

Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

TransmogrifAI (pronounced tr?ns-m?g?r?-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.