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.
Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, Java
A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end to end.
🧩 MCP Gateway - A lightweight gateway service that instantly transforms existing MCP Servers and APIs into MCP servers with zero code changes. Features Docker deployment and management UI, requiring no infrastructure modifications.
Ghidra MCP Server — 200+ MCP tools for AI-powered reverse engineering. GUI plugin + headless server, lazy tool loading, convention enforcement, batch operations, Ghidra Server integration, and Docker deployment.
eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, MCP, Reasoning models and more.
Minimalist AI agent that fixes itself when things break.
Build effective agents using Model Context Protocol and simple workflow patterns
AI agent microservice
Vast.ai python and cli api client
Model Context Protocol (MCP) server for AI-powered Fastly CDN management.
Install, run and deploy your own decentralized AI agent service
Shunt Claude Code agents to any model — selective, per-agent inference-layer routing proxy
🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.
The fastest path to AI-powered full stack observability, even for lean teams.
MCP servers for the UniFi suite of applications, Network, Protect, Access, and Drive
Open source version of Claude Managed Agents. Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent.
A set of MCP security checklists and guides for agents and MCP servers.
Model router for agentic systems. Routes every prompt to the right model in <50ms. Cut costs 40-70% with just an endpoint change.
Securely scale AI usage across your organization. A single stack to Connect, Secure, Observe and Distribute agents, MCPs, and Skills within your company.
Open agent skills and tool schemas for Superior Trade — build, backtest, and deploy trading strategies on Hyperliquid
Connect AI agents across any network — zero config, encrypted, skill-based routing
Claude Code plugins and agent skills for AWS development — IaC(CDK/SST), serverless, cost ops, and Bedrock AgentCore
Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.