CLI tool for managing multiple Claude Code settings profiles. Switch between different ~/.claude/settings.json configurations for different contexts.
Compact statusline HUD for Claude Code — context, agents, rate limits
Tachometer for Claude Code — context %, tokens in/out, current directory
Custom status line for Claude Code — context window, last interaction tokens, today total tokens
See exactly what's eating your Claude Code context window — and stop it.
MCP server for accessing Claude Code context files (index and resolutions)
Claude Code Context — auto-resume sessions per git branch
Claude Code context engine — pack, compress, and optimize any codebase for AI. Save 60-90% tokens.
Custom status line for Claude Code — context window, last interaction tokens, today total tokens
Persistent knowledge base for Claude Code — context that survives across sessions
Claude Code context optimizer. Compress CLI output by 60-90%.
Break down your Claude Code context window into the 6 CRUSTS categories. See what's eating your tokens.
Claude Code hook that compresses tool outputs before they re-enter context. Fights the 1M-context degradation documented in claude-code#35296 by deduplicating Read results, stripping noise, and truncating oversize Bash outputs.
Persistent, git-synced PARA memory for Claude Code. Context loaded automatically on every session, shared across machines in near-real time, organized autonomously every night.
Your Claude Code context, versioned and portable. Stop copying CLAUDE.md. Start composing it.
Jacques CLI TUI for Claude Code context monitoring
Web UI for visualizing Claude Code context window usage, cost tracking, and session comparison
Auto-generate Claude Code context files (REPOSITORY_OVERVIEW.md, feature_list.md, CLAUDE.md, agents) for any repository
Claude Code context optimization hooks — auto-records decisions, injects them into CLAUDE.md, and reduces forgetting risk in long sessions
Documentation and Claude Code context for Webflow Code Components development
An ACP-compatible coding agent powered by the Claude Agent SDK (TypeScript)
See how full your Claude Code context window is — reads token usage from session transcripts
Structured diagnostic code library
Documentation and Claude Code context for Webflow Code Components development
Ariadna helps you to create ruby on rails applications (or new features in existing ones)providing structured planning, multi-agent orchestration, and verification workflows via Claude Code slash commands.
Mario generates and executes marketing plans via structured planning, multi-agent orchestration, and verification workflows via Claude Code slash commands.
Gives an easy way to expose your Foobara commands to tools like Claude Code via the Model Context Protocol (MCP)
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 tool to fetch Claude Code plugins and adapt them into Cursor Rules or other agent contexts.
Model Context Protocol (MCP) server for Claude Code integration with Airbrake error tracking
CodeHealer is a revolutionary gem that enables your Ruby applications to automatically detect, analyze, and fix errors using AI. It integrates with OpenAI API, Claude Code terminal, and provides intelligent error handling, business context awareness, and automated Git operations. Features: - 🤖 AI-powered error analysis and code generation - 🎯 Business context-aware fixes - 🔄 Multiple healing strategies (API, Claude Code, Hybrid) - 📝 Automated Git operations and PR creation - 📋 Business requirements integration from markdown - ⚡ Background job processing with Sidekiq - 🎨 Configurable via YAML files
rails-ai-context turns your running Rails app into the source of truth for AI coding assistants. Instead of guessing from training data or stale file reads, agents query 38 live tools (via MCP server or CLI) to get your actual schema, associations, routes, inherited filters, conventions, and test patterns. Semantic validation catches cross-file errors (wrong columns, missing partials, broken routes) before code runs — so AI writes correct code on the first try. Auto-generates context files for Claude Code, Cursor, GitHub Copilot, OpenCode, and Codex CLI. Works standalone or in-Gemfile.
Rails Active MCP enables secure Rails console access through Model Context Protocol (MCP) for AI agents and development tools like Claude Desktop. Provides safe database querying, model introspection, and code execution with comprehensive safety checks and audit logging. Features include: • Safe Ruby code execution with configurable safety checks • Read-only database query tools with result limiting • Rails model introspection (schema, associations, validations) • Dry-run code analysis for safety validation • Environment-specific configuration presets • Comprehensive audit logging and monitoring • Claude Desktop integration out of the box
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.
RCrewAI is a powerful Ruby framework for creating autonomous AI agent crews that collaborate to solve complex tasks. Build intelligent workflows with reasoning agents, tool usage, memory systems, and human oversight. Key Features: • Multi-Agent Orchestration: Create crews of specialized AI agents that work together • Multi-LLM Support: OpenAI GPT-4, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Rich Tool Ecosystem: Web search, file operations, SQL databases, email, code execution, PDF processing • Agent Memory: Short-term and long-term memory for learning from past executions • Human-in-the-Loop: Interactive approval workflows and collaborative decision making • Advanced Task Management: Dependencies, retries, async execution, and context sharing • Hierarchical Teams: Manager agents that coordinate and delegate to specialist agents • Production Ready: Security controls, error handling, comprehensive logging, and monitoring • Ruby-First Design: Built specifically for Ruby developers with idiomatic patterns • CLI Tools: Command-line interface for creating and managing AI crews
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