Cypher graph database for Javascript
Local-first AI workflow orchestration for chaining models, agents, tools, and scripts into repeatable workflows.
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.
Stop copy-pasting between AIs. Build content pipelines you control.
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.
Break complex tasks into self-propagating prompt chains across Claude sessions.
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
10 hands-on demos covering every major agentic workflow design pattern — built with the OpenAI Agents SDK
MarketXpert — AI-Powered Stock Trading Insights Dashboard
.NET 8 prompt engineering toolkit — Azure OpenAI client, template engine, prompt chaining, injection detection, bias detector, and more
Two AWS AI and ML Scholars hands-on projects on AWS PartyRock (Amazon Bedrock): CareerProof AI, a generative-AI productivity app with a 7-step prompt chain, plus an air-quality data analysis using PartyRock's Analyze Data feature.
A command-line tool that runs a series of interconnected AI prompts to automate complex writing and analysis tasks.
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.
Three LangGraph workflow patterns — Prompt Chaining (job assistant), Intent-Based Routing (4-way service router), and Parallelization (multilingual translator) using GPT-4o-mini
Multi-agent system that reads a LaTeX research paper and produces a compiled Beamer presentation — 6 specialized agents, tool calling, shared memory, pdflatex compilation, interactive editing
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