Built for enterprise-scale agentic AI — with open deployment, zero lock-in, and full explainability. Run it anywhere: local, cloud, or bare metal. Own your data. Trust your insights.

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.

AI Agent that researches the lives of historical figures and extracts events into structured JSON timelines using LangGraph multi-agent orchestration.

Claude Code + Gemini AI collaboration orchestration tools

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

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

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)

A lightweight workflow framework

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

A customer chatbot implementation for Delta airlines

🐙 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.

Agentic Data Pipeline (POC) — Proof‑of‑concept for transparent, auditable data pipelines where LLMs manage S3→DuckDB promotion and log every step.

Advanced AI Agent for Windows & Web – Modular, Voice-Enabled, Multi-LLM Orchestration Sistem agen AI otonom yang dirancang untuk menjalankan tugas kompleks di desktop dan web, dengan dukungan suara, kontrol GUI, dan integrasi LLM multi-provider. Mendukung automasi Office, voice interface, dan pengambilan keputusan berbasis refleksi mandiri.

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.

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.