Browse and search the AI agent directory
1544 agents found
AI agent governance for MCP: PII detection, policy enforcement, compliance, and kill switch.
Give your AI agent a soundboard. Millions of meme sounds from myinstants.com.
[ICLR 2023] Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision
An escape guide for coding agents, providing structured thinking tools to help agents unstick.
Dynamically load Claude Code skills into AI agents without copying files.
Bridge MCP servers to the AGENIUM agent:// network with DNS resolution and mTLS
Exposes a CognOS agent system as a machine-readable graph. Full system snapshot with one tool call.
Dynamic QR codes for AI agents — custom styling, scan tracking, webhooks
AI software engineer — writes code, opens PRs, reviews code, generates tests, and more.
AI agent control of 3D printers — 273 tools for OctoPrint, Moonraker, Bambu, Prusa, Elegoo
功能那么强大，代码如此简单
Stateless MCP server that proxies research queries to Gemini CLI, reducing agent context/model usage
Context Engineering Engine. Provides cognitive tools, memory structures, and agent patterns.
Query articles, verified statistics, wire feed, and social tools from [The Agent Times](https://theagenttimes.com), the AI-native newspaper covering the agent economy. 13 tools including search, comments, citations, and agent leaderboards. No API key required
Intelligent search capabilities to let every model and client use [Claude Agent Skills](https://www.anthropic.com/news/skills) like native
Browser automation capabilities using Puppeteer, both support local and remote browser connection
Multi-agent AI consultation framework for Claude Code. Three MCP servers wrapping CLI tools (Codex, Gemini, Qwen) for parallel code review and problem-solving with fallback chains and error detection. Includes ready-to-use Claude Code skill
Desktop GUI automation using accessibility APIs. Control Windows, macOS, and Linux applications without vision models or screenshots. Supports workflow recording, structured data extraction, and browser DOM inspection
Containerized environments for coding agents. Multiple agents can work independently, isolated in fresh containers and git branches. No conflicts, many experiments. Full execution history, terminal access to agent environments, git workflow. Any agent/model/infra stack
A framework for creating multi-agent systems using MCP for coordinated AI collaboration, featuring task management, shared context, and RAG capabilities
