cloud

Open-source serverless runtime for AI agents. Bring any framework, get a production HTTP server with SSE streaming, sessions, auth, and memory.

Your Digital Companion. Self-hosted Telegram bot orchestrating multiple AI providers (OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral, Alibaba, MiniMax) with autonomous agent capabilities, MCP integrations, and async task execution. Not a tool. A partner.

Agent orchestration & security template featuring MCP tool building, agent2agent workflows, mechanistic interpretability on sleeper agents, and agent integration via CLI wrappers

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (RAG, Agents).

🚀✨ DRIVE, the tool for creating and managing autonomous LLM agents; implemented using Apache Kafka, Docker, and LangChain.

mcp implementation of an agentic framework

A comprehensive template for developing and deploying AI agent applications. Features Microsoft Agent Framework, AG-UI integration, CopilotKit frontend, Azure-native services, observability, and IaC-based deployment.

🔍Model Context Protocol (MCP) server for Apache Airflow API integration. Provides comprehensive tools for managing Airflow clusters including service operations, configuration management, status monitoring, and request tracking.

A self-hosted AI toolkit running locally via Docker Compose, bundling an LLM gateway, workflow automation, and a chat UI — all backed by a shared PostgreSQL database.

This project demonstrates how to use AWS Bedrock with Anthropic Claude and Amazon Nova models to create a web automation assistant with tool use, human-in-the-loop interaction, and vision capabilities.

AI Agent Platform built in Rust — Multi-model, MCP tools, 14+ channel integrations. Self-host or use teai.io

Claude Code-like AI agent framework for your app. Planning, task tracking, clarifying questions - one dependency, stateless, serverless-ready.

Stop building AI agents from scratch. Bootstrap starter Agent app with LangGraph, CopilotKit, and beautiful Generative UIs.

SemantiClip is an intelligent video processing application that transforms video content into rich, structured written formats. Built with Microsoft Agent Framework, SemantiClip automates the transcription, segmentation, and content generation process - demonstrating agents orchestration with the use of SLM & LLM.

Serverless AI agent using LangChain.js and Model Context Protocol (MCP) integration to order burgers from a burger restaurant

🪁 A lightweight, modern Kubernetes dashboard that unifies multi-cluster and resource management, enterprise-grade user governance (OAuth, RBAC, and audit logs), and AI agents in one workspace. Not just a tool, but more like a platform.

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

Next Generation Agentic Proxy for AI Agents and MCP servers

DockaShell is an MCP server that gives AI agents isolated Docker containers to work in. MCP tools for shell access, file operations, and full audit trail.

This project provides a Docker container for Kali Linux with SSH access, allowing secure remote connections for penetration testing and security research. Additionally, the container includes a terminal-based AI agent and chat tool installed from noxgle/term_agent, providing enhanced AI-assisted interaction within the terminal environment.