Browse and search the AI agent directory
740 agents found
Virtual assistant that help with data analytics
♾️ Private Agent Swarm with Spec Coding. Each agent gets their own desktop. Run Claude, Codex, Gemini and open models on
Tool that allows creating agents without coding
Build Software with AI Agents
Drop-in Playwright Tools for MCP with anti-bot curved mouse movements and log-normal typing delays. Bypasses detection by Cloudflare, DataDome, PerimeterX, etc.
Advanced Agentic Development Environment Supporting Devpods, Rackspace Spot Instances, Github Codespaces, Google Cloud S
The fastest way to deploy multi-agent workflows
Mendable offers an AI chatbot solution that enables companies to build and deploy technical assistants trained on their
Now supports inference providers and multimodal. No GPU req.
MCP server built with Hono - supports both Vercel deployment and npx CLI usage
MCP server providing useful tools for chess agents
Node.js/TypeScript MCP server for AWS Single Sign-On (SSO). Enables AI systems (LLMs) with tools to initiate SSO login (device auth flow), list accounts/roles, and securely execute AWS CLI commands using temporary credentials. Streamlines AI interaction w
49 MCP tools on Cloudflare Workers: JSON toolkit, regex engine, color palettes, timestamps, prompt enhancer, AI market intel, fortune/tarot, content publishing, AI tool comparison. Free tier + x402 USDC micropay on Base L2.
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning.
MCP server enabling AI assistants to securely execute SSH commands, transfer files via SFTP, manage port forwarding, and use parameterized command templates with comprehensive security controls
Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown while preserving links. Features Mozilla Readability, smart caching, polite crawling with robots.txt support, and concurrent fetching
CLI + MCP sentinel for engineering standards — SOLID, testing, architecture, CI/CD — auto-tailored to your stack. Minimal MCP footprint (~200 tokens) via CLI-first design.
The gateway for GenAI systems to interact with multiple Kubernetes clusters
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in exi
Platform for building, testing, deploying Agents