An improved implementation of the Ralph Wiggum technique for autonomous AI agent orchestration
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Updated
Feb 5, 2026 - Rust
An improved implementation of the Ralph Wiggum technique for autonomous AI agent orchestration
Unified Emacs interface supporting Claude Code, OpenAI Codex, Gemini CLI, GitHub Copilot CLI, Opencode, and more
Resource Library for AI-assisted software development with kiro
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.
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.
MCP server for searching Model Context Protocol documentation. BM25 search, auto-indexing, TypeScript. Works with Cursor, WindSurf, Claude Desktop, Kiro, and any MCP client.
CLI tool for initializing AI-driven development projects with standardized rules and agent configurations
🔍 Transform GitHub repositories into structured semantic assets, enabling efficient search and reasoning through indexed code grounded in research questions.
🤖 Create streamlined coding loops with Ralph, a minimal agent that uses files and git to manage stories and states efficiently.
MCP server for understanding team health through git metrics. A mirror for reflection, not a microscope for surveillance.
Demonstrates dual-interface architecture: same business logic powering both traditional web apps and MCP servers for AI tools
Open Agent System specification with Kiro CLI compatibility
🛠️ Streamline your development with Kiro, an agentic IDE that transforms prototypes into production using spec-driven methods and AI-powered coding support.
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