Browse 85 tools for your AI coding workflow.
Generate a map of your codebase to help AI agents understand your architecture, coding conventions, and patterns.
Local-first security scanner for AI agents and software supply chains, detecting prompt injection, MCP risks, tool poisoning, and compromised packages.
AI-first security scanner with 9,600+ detection rules for AI/ML, LLM agents, and MCP servers.
Universal memory layer for AI agents that enables personalized, context-aware interactions.
A multimodal toolset for AI agents to generate, edit, and display images, videos, and audio via CLI.
Convert and sync AI coding-agent rule files between formats with zero dependencies.
AGENTS.md rules and skills for AI coding agents, distilled from classic software engineering books.
An MCP server that turns natural language into structured development tasks with persistent memory and chain-of-thought workflows for AI agents.
Open-source Claude Code skills and agents for AI-powered penetration testing, bug bounty hunting, and security research.
Open-source AEO infrastructure that gives every page a markdown twin for AI agents alongside HTML for humans.
Index your codebase to save 94% on AI coding tokens by enabling agents to search instead of reading files.
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.
Security scanner for AI agents, MCP servers, and agent skills to detect prompt injections and vulnerabilities.
Local code intelligence MCP server and CLI for AI coding agents, providing semantic search and call graph analysis.
An MCP server that lets AI agents connect to and manage Jupyter notebooks in real-time.
Local semantic code search engine for AI coding agents, reducing token use and costs by up to 50%.
Persistent architectural memory for AI coding agents via knowledge graphs and living specs.
MCP server for semantic code search and navigation that reduces token waste for AI agents.
A memory layer for coding agents that stores and retrieves repo context, conventions, and invariants.
