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

A lightweight workflow engine

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.

Mimir - Fully open and customizable memory bank with semantic vector search capabilities for locally indexed files (Code Intelligence) and stored memories that are shared across sessions and chat contexts allowing worker agent to learn from errors in past runs. Includes Drag and Drop multi-agent orchestration

A no-frills online XML parser specifically designed for LLM applications.

Type-safe DAG execution engine for AI workflows

Claude Code + Gemini AI collaboration orchestration tools

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

AI that thinks in layers, not just tokens. Intent-based processing through 15 dimensional analysis. Anti-manipulation through understanding context. Built with Rust + Go.

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

Turnkey prompt-chaining template for Claude/OpenAI workflows. LangGraph-orchestrated sequential agents (Analysis→Processing→Synthesis) with validation gates. Observability-first: auto distributed tracing, token/cost tracking, quality metrics—zero boilerplate.

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

A customer chatbot implementation for Delta airlines

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.