#pipeline

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.NET pipeline framework for enterprise AI applications — multi-provider LLM integration, RAG pipelines, and multi-agent orchestration with a fluent builder API.

Typed async workflows with Result types and automatic error inference

A TypeScript CLI that assembles AI-powered prompts at runtime to guide you from "I have an idea" to working software. Scaffold walks you through 54 structured pipeline steps — organized into 15 phases — and Codex, Claude Code, or Gemini handles the research, planning, and implementation for you.

Manifest-driven 21-stage agent pipeline for Python — 5 LLM backends (Anthropic / OpenAI / Google / vLLM / Claude Code CLI), tools, skills, memory, sandboxed CLI runs, MCP. The engine behind Geny. Apache-2.0.

A starter development kit to CI/CD based on Nuke

MIT foundation library for the Nous Ergon stack — edge-free primitives every higher layer depends down onto.

AI-powered product lifecycle orchestrator — takes a product idea from intent to shipped code through agent-driven pipelines (Claude + Codex) with human gates, postconditions, and auditable traces.

Pipeline open-source que baixa e processa os dados da Receita Federal para PostgreSQL

The most comprehensive guard clause & validation ecosystem for .NET

The RAG pipeline that grows with your codebase — index once, stay in sync with every commit.

An agent that takes a dead research repo and turns it into a callable pipeline component.

Shared building block for pipeline-aware Roslyn source generators in the ZeroAlloc ecosystem. Zero allocation, compile-time wiring, Native AOT compatible.

Audio Video Pipeline Transcoding With Golang

libraries used in Kestra Flows

Functional composition made simple

A small functional pipeline toolkit for Python.

A projen construct that generates GitHub Actions workflows for CDK deployments with GitHub Environments, parallel stages, versioned assemblies, and manual rollback.

A language for describing interactions between components

Brokoli — self-hosted data pipeline orchestration

MLPipelineHolder is a straightforward framework for reproducible machine-learning experimentation in Jupyter notebooks.

Self-hosted error-monitoring for Python pipelines: capture exceptions, deduplicate, diagnose root causes with LLMs, route alerts (Telegram/Slack/email/GitHub/S3), and auto-generate fix PRs — from a logging handler or one report() call.

CLI tool for GitLab pipeline release processes