Cypher graph database for Javascript

Supercharge qwen-code with hybrid prompt-chaining, powered by gemini-cli integration. Performance improvements include 72% faster execution, 36-83% token efficiency gains, and 91.7% success rate verified across 5 repository benchmarks.

Experimental interface environment for open source LLM, designed to democratize the use of AI. Powered by llama-cpp, llama-cpp-python and Gradio.

Welcome to the Agentic AI Mentorship Program! This repository is designed to help students and developers systematically evolve their AI agent development skills from foundational prompting techniques to advanced multi-agent systems through hands-on, build-style exercises and real-world scenarios.

Multi-agent AI skill orchestration — 13 skills, 7 lifecycle phases, from idea to post-release. Works with Claude Code, Codex, Gemini CLI, Cursor, Windsurf, OpenCode, and any agent that reads Markdown or speaks MCP.

AI-powered listing analyzer for homebuyers. Paste or upload real estate listings to get instant insights, red flags, and smart follow-up questions — all in seconds.

Stop copy-pasting between AIs. Build content pipelines you control.

My Practices on LangGraph repo, is for practices and mini-projects in the langgraph library etc...updating soon

Multi-Agent LLM Framework for a research assistant for PhD scholars

.NET 8 prompt engineering toolkit — Azure OpenAI client, template engine, prompt chaining, injection detection, bias detector, and more

AI Prompt Workflow Engine - Chain multiple AI prompts with automatic validation, retry logic, and error handling. Perfect for content generation, automation, and building reliable AI-powered applications.

🤖 Streamline AI prompt management with this Python library for chaining prompts, ensuring validation, error handling, and automatic retries.

A command-line tool that runs a series of interconnected AI prompts to automate complex writing and analysis tasks.

HypothesisTester.io is an interactive, AI-assisted tool built with Streamlit that enables data scientists, analysts, and students to perform hypothesis testing seamlessly. It combines statistical rigor with intuitive UI and visual explanations.

Four-stage AI pipeline that turns any topic into a production-ready content brief — intent analysis, outline, drafting, and quality scoring.

Three LangGraph workflow patterns — Prompt Chaining (job assistant), Intent-Based Routing (4-way service router), and Parallelization (multilingual translator) using GPT-4o-mini

使用 GPT 建立自訂角色、分工生成與合成審稿流程的範例。Example of GPT-driven role-based prompt orchestration and synthesis workflow.

Generate a complete content package from one topic — blog post, social media captions, and email copy. Powered by a five-step prompt chaining pipeline using Groq LLM.

PromptForge – AI Research Assistant with Prompt Chaining