The AI Product Creation Platform. Complete context engineering and LLM orchestration with APIs or private deployments. Run anywhere - local, cloud, or 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

KSI Ξ Agent Improving Ecosystem. A graph-based orchestration system for evolving AI agents through collaborative improvement and meta-optimization

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)

AI agent powered by MCP, LangGraph, LangChain, RAG, OpenAI, and PostgreSQL

🐙 Meta-AI Orchestrator unifies multiple LLMs with dynamic routing, RAG search, and DAG pipelines for enterprise AI workloads across providers, with observability and QA.

Modular Python library for orchestrating AI agents with LLM-powered semantic tool selection and dynamic API execution.

A stateful AI agent framework powered by the Cognitive Lattice to solve complex tasks with persistent memory and reliable tool orchestration.

Production-grade, multi-tenant chat service with FastAPI + WebSockets, OpenAI/Anthropic orchestration, semantic caching, and K8s/IaC deployment, Includes observability (Prometheus/Grafana/Jaeger), FinOps cost tracking, and DR runbooks.

🛡️ 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.