Take control of your data and AI future. Connect LLMs to graph automation built from your data. Run anywhere from local, cloud, or even bare metal.
Fractalic: Build and version-control AI systems using Markdown & YAML. Combine LLM calls, shell commands, and modular workflows in a human-readable format. Docker-first installation, Git-native tracking.
A no-frills online XML parser specifically designed for LLM applications.
Lightweight Agent Framework for building AI apps with any LLM
Get the stars, downloads and other key stats about LLM Orchestration frameworks
Gen AI Framework and Orchestration Engine. GenAI Goos.Flock emerges as a groundbreaking framework and orchestration engine, designed to seamlessly integrate and manage complex AI workflows. This innovative platform is the ultimate solution for organizations seeking to harness the full potential of Generative AI, Large Language Models (LLMs)
The missing AI toolkit for Go developers. Ryno AI is an open-source framework built in Go for creating practical, real-world AI agents and systems. It empowers developers to build tools, workflows, and intelligent agents powered by LLMs — all within the Go ecosystem. The project emphasizes reliability, modularity, and real-world integrations
🛡️ LexiGuard is a compliance-aware GenAI system that answers legal and policy queries using evidence-based, hallucination-free, multi-LLM orchestration. It supports GDPR, HIPAA, DPDP, and AI Act via modular RAG, evaluation, and guardrails—built for FAANG-grade reliability and explainability.
This project showcases a modular framework for building AI agents and LLM-powered applications using n8n for orchestration, custom APIs, and LangChain integration. Designed for automated workflows, smart assistants, and backend AI logic across scalable pipelines.
A customer chatbot implementation for Delta airlines
An end-to-end RAG application featuring Llama 3.1 7b for text generation and Stable Diffusion for image generation, deployed using Docker.
KSI Ξ Agent Improving Ecosystem. A graph-based orchestration system for evolving AI agents through collaborative improvement and meta-optimization
Add a description, image, and links to the llm-orchestration topic page so that developers can more easily learn about it.
To associate your repository with the llm-orchestration topic, visit your repo's landing page and select "manage topics."