An improved implementation of the Ralph Wiggum technique for autonomous AI agent orchestration
Unified Emacs interface supporting OpenAI Codex, GitHub Copilot CLI, Claude Code, Gemini CLI, Opencode, and more
Resource Library for AI-assisted software development with kiro
Multi-agent orchestration for Kiro CLI - coordinate specialized AI agents to tackle complex tasks through planning, parallel execution, and validation.
GitHub Action to install and cache Kiro CLI for workflows
PARK: parallel agent runtime for kiro-cli, a multi-terminal launcher for managing Kiro CLI sessions. Launch, monitor, and control multiple AI agent sessions with real-time output streaming, session persistence, and batch operations. Built with Electron + TypeScript.
Make your AI assistant remember, learn, and follow a structured approach to every task. Built for Kiro CLI.
Ralph bedrock
Video-to-Document capabilities from the Kiro-CLI powered by a custom agent, MCP, Knowledge Base, and steering. Visual analytics, audio transcription with no fees outside of AWS Kiro credits.
A lightweight CLI tool to manage kiro-cli chat sessions efficiently
Comprehensive memory management system for LLM agents implementing episodic, semantic, and procedural memory with automatic consolidation, intelligent decay, and hierarchical retrieval. Built in Rust with MCP server support for Kiro CLI
MCP server for searching Model Context Protocol documentation. BM25 search, auto-indexing, TypeScript. Works with Cursor, WindSurf, Claude Desktop, Kiro, and any MCP client.
🔄 Transform Kiro AWS Claude API into a standard Anthropic API format with this efficient Node.js proxy service for seamless integration.
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