Repository History
5 repositories tagged with ai-development
OpenHands: AI-Driven Development with Agent Canvas
OpenHands Agent Canvas is a self-hosted developer control center designed for coding agents and automations. It allows users to run various AI agents, including OpenHands, Claude Code, and Codex, across local, remote, and cloud backends. This powerful platform helps automate everyday development tasks, turning coding agents into an always-on engineering team.
AI-Agents-Projects-Tutorials: Comprehensive Guide to AI Agent Development
The AI-Agents-Projects-Tutorials repository offers an extensive collection of code implementations and tutorials for building advanced AI agents. It covers fundamental concepts such as multi-agent systems, memory management, planning, and reasoning loops. This resource is ideal for developers and researchers seeking practical insights into agentic AI development.
claude-code-best-practice: From Vibe Coding to Agentic Engineering with Claude
The `claude-code-best-practice` repository offers a comprehensive guide to mastering Claude Code, transitioning developers from 'vibe coding' to efficient agentic engineering. It compiles essential best practices, structured workflows, and expert tips to maximize productivity and leverage Claude's advanced AI capabilities. This resource is invaluable for anyone looking to optimize their AI-driven development processes.
APM: Agent Package Manager for AI Agents
APM, the Agent Package Manager, is an open-source, community-driven dependency manager designed specifically for AI agents. It aims to standardize and streamline the configuration of AI coding agents, making their context portable, secure, and reproducible across different environments. This tool addresses the challenge of manually setting up agent dependencies by providing a manifest-driven approach, similar to traditional package managers like npm or pip.
openai-agents-js: A Lightweight Framework for Multi-Agent Workflows and Voice Agents
The OpenAI Agents SDK for JavaScript/TypeScript is a powerful, lightweight, and provider-agnostic framework designed for building complex multi-agent workflows. It enables developers to create sophisticated AI applications, including real-time voice agents, by orchestrating multiple LLMs with tools, guardrails, and dynamic handoffs. This SDK streamlines the development of intelligent systems, offering robust features for tracing, debugging, and integrating human-in-the-loop processes.