Interactive TUI for searching Claude Code session history
Linear workspace for Claude Code — search, bulk edit, agents, and a config-driven curator
AgentPowers marketplace MCP server for Claude Code — search, browse, and install skills from the marketplace directly in your conversation.
Official MCP server for Noesis — the markdown notes manager for Claude Code. Search, sync, and manage your .md knowledge base via 19 AI-powered tools.
AST-based code intelligence plugin for Claude Code: search symbols, trace call graphs, generate comments, and provide structured context for any repository
Fashion design reference skill for Claude Code — search 17,000+ Vogue Runway garments and generate image prompts
Memory module - AgentDB unification, HNSW indexing, vector search, hybrid SQLite+AgentDB backend (ADR-009)
The **[Groq provider](https://ai-sdk.dev/providers/ai-sdk-providers/groq)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the Groq chat and completion APIs, transcription support, and browser search tool.
Lightweight core CLI surface for Claude Flow — memory + hooks commands only. Designed to load fast on cold npx cache (<5s) so plugin skills don't race the 30s MCP-startup timeout. The full @claude-flow/cli metapackage lazy-loads everything else on top of
SDK for building AI agents with Claude Code's capabilities. Programmatically interact with Claude to build autonomous agents that can understand codebases, edit files, and execute workflows.
Self-learning vector database for Node.js — hybrid search, Graph RAG, FlashAttention-3, HNSW, 50+ attention mechanisms
MCP server for advanced web search using Tavily
How does Claude Code search code? Grep tool analysis — output modes, file types, context usage.
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.
Add MCP servers to your favorite coding agents with a single command.
Find and load configuration from a package.json property, rc file, TypeScript module, and more!
AI Manipulation Defense System (AIMDS) with self-learning, prompt injection detection, and vector search integration
A Model Context Protocol server with Exa for web search and web crawling. Provides real-time web searches with configurable tool selection, allowing users to enable or disable specific search capabilities. Supports customizable result counts, live crawlin
Native binary for Claude Code on linux-x64
Codex CLI integration for Ruflo (claude-flow) - OpenAI Codex platform adapter
Lightweight fuzzy-search
Search functionality for the CodeMirror code editor
Inquirer search prompt
Native binary for Claude Code on win32-x64
MCP server that indexes codebases using AST-aware chunking and vector embeddings, providing semantic search for Claude Code and other MCP clients.
RcrewAI Rails is a comprehensive Rails engine that brings AI agent orchestration to your Rails applications. Build intelligent AI crews that collaborate to solve complex tasks with full database persistence, background job integration, and a beautiful web dashboard for monitoring and management. Features: • ActiveRecord models for crews, agents, tasks, and executions with full persistence • Rails generators for scaffolding AI crews and agents • ActiveJob integration for asynchronous crew execution (works with any Rails background job adapter) • Web dashboard with real-time monitoring and management interface • Multi-LLM support: OpenAI GPT, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Production-ready with logging, error handling, and security controls • Human-in-the-loop workflows with approval mechanisms • Tool ecosystem: web search, file operations, SQL, email, code execution
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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