Explore Agents

Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent. Deploy in a production ready serverle

Lyzr provides an enterprise-grade AI agent framework for easy configuration, deployment, and management of AI agents, su

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning.

Tool that allows creating agents without coding

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

Vapi is a developer-friendly platform that enables the rapid creation, testing, and deployment of voicebots, revolutioni

Give your AI Agent a cloud-native life. Deploy once, converse everywhere.

OpenSandbox is a general-purpose sandbox platform for AI applications, offering multi-language SDKs, unified sandbox API

Agentic Browser-based Website Builder

Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observabil

MCP server integrating with Vercel's agent-browser for AI-driven browser automation

(by Aravind) A secure MCP server that executes code in isolated Docker sandboxes. Supports Python, Java, C, C++, JavaScript, and Rust. Provides the `run_code` tool, enforces CPU/memory limits, includes comprehensive tests, and detailed setup instructions

Giselle: AI App Builder. Open Source.

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.

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangCh

MCP server providing useful tools for chess agents

SRE Agent - CNCF Sandbox Project

Build, Improve Performance, and Productionize your LLM Application with an Integrated Framework

Build your AI Workforce

This MCP server allow you to create Jenkins tasks