Define, Prompt and Test MCP enabled Agents and Workflows

A desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.

[Preprint] Large Language Model-based Stock Trading in Simulated Real-world Environments

📨 The ultimate social media scheduling tool, with a bunch of AI 🤖

A open-source tool for writers

Neo4j graph construction from unstructured data using LLMs

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge ba…

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kuberne…

Learn Modern AI Assisted Python with Type Hints

🔥 Enterprise SaaS Starter Kit - Kickstart your enterprise app development with the Next.js SaaS boilerplate 🚀

Master programming by recreating your favorite technologies from scratch.

The React Framework