Repository History
17 repositories tagged with claude-code
claude-plugins-official: The Official Directory for Claude Code Plugins
claude-plugins-official is Anthropic's official repository for high-quality Claude Code Plugins. It provides a curated directory of both internal and third-party plugins, enabling users to extend Claude's capabilities. This repository serves as the central hub for discovering and installing powerful tools for Claude Code.
Oh-My-ClaudeCode: Teams-First Multi-Agent Orchestration for Claude Code
Oh-My-ClaudeCode is a powerful GitHub repository that provides teams-first multi-agent orchestration for Claude Code, enhancing its capabilities with zero learning curve. It enables developers to build, refactor, and verify code efficiently through intelligent automation and parallel execution. This tool aims to supercharge your Claude Code experience, making complex development tasks simpler and more cost-effective.
claude-mem: Persistent Context Across Sessions for AI Agents
claude-mem is an innovative GitHub repository designed to provide persistent context across sessions for various AI agents. It intelligently captures agent activities, compresses them using AI, and injects relevant information into future interactions. This powerful tool supports a wide range of AI platforms, including Claude Code, OpenClaw, Gemini, and Copilot.
claude-code-forge: Access Any AI Model Through Claude's Interface
claude-code-forge is a utility that enables users to access a wide array of AI models through the Claude Code interface. By configuring Claude Code to use TensorBlock Forge as its API provider, developers can leverage models like Qwen Coder and Gemini, expanding beyond Claude's default offerings. This repository provides simple setup scripts to integrate TensorBlock Forge seamlessly.
learn-claude-code: Build AI Coding Agents from Scratch with Python
The learn-claude-code repository offers a progressive tutorial to demystify AI coding agents like Claude Code, Kode, and Cursor Agent. It teaches users how modern AI agents work by building them from scratch, starting with a minimal 16-line Bash agent. This project emphasizes the core concept of "Model as Agent" through five evolving versions.