Browse 30 tools for your AI coding workflow.
Anthropic's official CLI agent for coding. Claude-powered terminal agent that reads, writes, and refactors entire codebases.
Curated list of real-world AGENTS.md files, templates, guides & tools from production codebases.
An offline MCP server that indexes your codebase for semantic search, code search, and git history retrieval.
Local codebase intelligence CLI and MCP server for AI coding agents with change-safety gates and audit evidence.
AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.
A fast Rust CLI for codebase metrics, AST-compressed LLM context bundles, and a built-in MCP server.
Open-source DeepWiki alternative to generate comprehensive wiki documentation for any codebase from terminal or browser.
Generate a map of your codebase to help AI agents understand your architecture, coding conventions, and patterns.
An MCP server that transforms large codebases into searchable, hierarchical feature graphs using RAG, AST, and spectral clustering.
Self-hosted code intelligence tool for search, navigation, and AI-powered Q&A across your codebase.
AI-powered intelligence platform for analyzing codebases of any size, from small projects to enterprise monorepos.
MCP server for semantic code search: index your codebase once, then search using natural language.
Generate AGENTS.md from your codebase in one command. Free, instant, no API key.
Index your codebase to save 94% on AI coding tokens by enabling agents to search instead of reading files.
High-performance MCP server that indexes codebases into a persistent knowledge graph for AI coding agents.
Codebase intelligence layer for AI coding agents: code health, git analytics, dead code detection, and architectural decisions via MCP.
AI-friendly semantic code search engine that combines ripgrep speed with tree-sitter AST parsing for large codebases.
One command gives AI agents instant codebase context, replacing 50,000+ tokens of exploration with ~250 tokens.
Analyze any codebase using real project signals to generate a structured explanation.
AI-powered README file generator that creates comprehensive documentation from your codebase.
