Browse 131 tools for your AI coding workflow.
Security scanner for AI agents, MCP servers, and agent skills to detect prompt injections and vulnerabilities.
Codebase intelligence layer for AI coding agents: code health, git analytics, dead code detection, and architectural decisions via MCP.
Local-only Go static analysis engine with MCP server for AI coding agents.
A catalogue of agentbundle primitives for building robust, review-driven AI coding workflows.
AGENTS.md rules and skills for AI coding agents, distilled from classic software engineering books.
Open-source AEO infrastructure that gives every page a markdown twin for AI agents alongside HTML for humans.
Generate a map of your codebase to help AI agents understand your architecture, coding conventions, and patterns.
Persistent architectural memory for AI coding agents via knowledge graphs and living specs.
Local code intelligence MCP server and CLI for AI coding agents, providing semantic search and call graph analysis.
Convert and sync AI coding-agent rule files between formats with zero dependencies.
Generate AGENTS.md from your codebase in one command. Free, instant, no API key.
An MCP server that turns natural language into structured development tasks with persistent memory and chain-of-thought workflows for AI agents.
A persistent, unified memory layer for AI coding agents, backed by Markdown and Milvus.
An MCP server that lets AI agents connect to and manage Jupyter notebooks in real-time.
A multimodal toolset for AI agents to generate, edit, and display images, videos, and audio via CLI.
Local semantic code search engine for AI coding agents, reducing token use and costs by up to 50%.
Generate design system documentation for UI components directly from your AI agent, rendering into Figma or portable .md files.
An open-source, extensible AI agent that goes beyond code suggestions to install, execute, edit, and test with any LLM.
AI agent security scanner that detects vulnerabilities in agent configurations, MCP servers, and tool permissions.
Universal memory layer for AI agents that enables personalized, context-aware interactions.
