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GenAIScript: Automatable GenAI Scripting with TypeScript/JavaScript
GenAIScript is an open-source project from Microsoft that enables programmatic assembly of prompts for Large Language Models (LLMs) using JavaScript and TypeScript. It allows developers to orchestrate LLMs, tools, and data directly in code, streamlining the development of GenAI applications. This framework offers seamless Visual Studio Code integration and a flexible command-line interface for efficient GenAI scripting.
Agentrooms: Multi-Agent Claude Code Orchestration Desktop App
Agentrooms is a desktop application and API designed for multi-agent Claude Code orchestration. It enables users to coordinate both local and remote agents through an intuitive @mentions system, streamlining complex development workflows. This tool facilitates collaborative development by routing tasks to specialized agents, all while leveraging your existing Claude subscription without requiring additional API keys.
cursor-memory-bank: Structured AI Development Workflow with Cursor 2.0 Commands
cursor-memory-bank is a modular, documentation-driven framework designed to enhance AI-assisted development within the Cursor editor. It leverages Cursor 2.0 commands to provide persistent memory and guide AI through a structured development workflow. This system uses visual process maps and token optimization to streamline tasks from initialization to archiving.
Laravel Claude Code Setup: AI-Powered Development for Laravel with Figma Integration
This repository provides a one-command setup for integrating Claude Code with your Laravel development. It automatically configures various MCP servers, enabling AI-powered features like GitHub integration, database access, and a powerful new Figma design-to-code workflow. This streamlines the development process, allowing developers to leverage AI for tasks from code generation to design system extraction.
Rig: Build Modular and Scalable LLM Applications in Rust
Rig is a powerful Rust library designed for building modular, scalable, and ergonomic LLM-powered applications. It offers extensive features, including agentic workflows, compatibility with over 20 model providers, and seamless integration with more than 10 vector stores. Developers can leverage Rig to create robust generative AI solutions with minimal boilerplate.
quarkus-langchain4j-workshop: Build AI-Infused Apps with Quarkus and LangChain4j
Explore the `quarkus-langchain4j-workshop` to learn how to develop AI-infused applications using Quarkus and LangChain4j. This workshop provides a structured approach, guiding you through various steps to build powerful AI solutions. It's an excellent resource for developers looking to integrate large language models into their Quarkus projects.