One command. Every AI tool understands your project instantly.
Make your codebase AI-ready with AI-readable context contracts
Pre-session codebase AI-readiness scorer for Claude Code and agent workflows
A persistent memory layer for your codebase + AI agent
AI-Assisted Software Engineering (AASWE) - Rich codebase context for IDE LLMs
Unveil any codebase — AI-powered code exploration via chat
Use Claude, Anthropic's AI assistant, right from your terminal. Claude can understand your codebase, edit files, run terminal commands, and handle entire workflows for you.
Graph-powered code intelligence for AI agents. Index any codebase, query via MCP or CLI.
Use Ollama with the Vercel AI SDK, implementing the official Ollama API. This provider has minimal dependencies and is web-compatible out of the box.
# Visual vibe coding. Right in your codebase.
A tool to pack repository contents to single file for AI consumption
21st.dev toolbar SDK for AI Agent interaction.
The core constants used throughout the remirror codebase
BDD Testing with Playwright runner
AI SDK by Vercel - build apps like ChatGPT, Claude, Gemini, and more with a single interface for any model using the Vercel AI Gateway or go direct to OpenAI, Anthropic, Google, or any other model provider.
No description provided.
# Visual vibe coding. Right in your codebase.
No description provided.
A tiny (118 bytes), secure URL-friendly unique string ID generator
Evaluate how prepared your codebase is for autonomous AI coding agents
[React](https://react.dev/) UI components for the [AI SDK](https://ai-sdk.dev/docs):
Open-source agent orchestration layer — the AI company OS. Local model agent engine (GGUF/Ollama/llama-server), HuggingFace model browser, MCP integrations (Slack, Gmail, Stripe, 15+), agent scheduling (cron), business roles (CMO, CFO, EA). GUI dashboard,
Node.js wrapper for the probe code search tool
Local-first AI developer toolkit — knowledge base, code analysis, context management, and developer tools for LLM agents
AI Summary is a Ruby gem that inspects your Rails project and generates a developer-friendly summary of your models, tables, controllers, routes, and more. Designed to help AI tools understand your application structure for better code suggestions, onboarding, debugging, or documentation.
Woods extracts structured data from Rails applications for use in AI-assisted development tooling. It provides version-specific context by running inside Rails to leverage runtime introspection, inlining concerns, mapping routes to controllers, and indexing the exact Rails/gem source versions in use.
context_spook is a library that collects and organizes project information to help AI assistants understand codebases better.
Asagi is an AI Sequencing AGI engine. This new gem extends the Asagi codebase, and allows for completely automatic assembling of certain basic subroutines.
The AI-Dev-Pipeline (AIDP) CLI provides a powerful, markdown-driven workflow for software development. It supports in-depth project analysis to understand existing codebases and an execution mode to systematically implement new features.
Gitingest is a powerful command-line tool that fetches files from GitHub repositories and generates consolidated text prompts for AI analysis. It features smart file filtering, concurrent processing, custom exclusion patterns, authentication support, and automatic rate limit handling. Perfect for creating context-rich prompts from codebases for AI assistants, documentation generation, or codebase analysis.
AppyDave Tools is a consolidated productivity toolkit for YouTube content creation workflow. Includes single-purpose utilities for AI context gathering, subtitle processing, YouTube management, and more. All tools in one codebase for easier maintenance, each operates independently.
Claude Swarm enables you to run multiple Claude Code instances that communicate with each other via MCP (Model Context Protocol). Create AI development teams where each instance has specialized roles, tools, and directory contexts. Define your swarm topology in simple YAML and let Claude instances collaborate across codebases. Perfect for complex projects requiring specialized AI agents for frontend, backend, testing, DevOps, or research tasks.
A RuboCop extension aimed at detecting and remediating boilerplate, spam, or AI-hallucinated artifacts across codebases.
Lightweight gem, tested in large Rails codebases (20k+ Ruby files). Allows AI assistants to evaluate and verify rails/ruby code changes securely at lighting-speed access without the need to restart server or run bundler.
Interactive rake tasks to generate context files for AI coding assistants (Claude, Cursor, Windsurf, Codex, llm.txt). Uses RubyLLM to analyze your codebase and create platform-specific context that helps AI understand your project.
Rubyzen is a modern linter for Ruby that allows you to write architectural lint rules as unit tests. In the era of AI-generated code, it provides your team with deterministic guardrails to keep your codebase clean, maintainable, and consistent as it grows.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.