
Docker cagent: Build and Orchestrate AI Agents Without Writing Code
Master multi-agent AI workflows with simple YAML configurations—no programming required
Join Docker at GITEX Global 2025—the world's largest tech event—to discover how Docker Hardened Images are revolutionizing container security. With 95% less attack surface, enterprise SLA-backed patching, and built-in compliance, DHI proves security doesn't have to slow you down.
As AI systems evolve from simple chatbots to autonomous agents with memory, tools, and the ability to collaborate, they're creating security vulnerabilities we've never seen before. This deep dive into cutting-edge arXiv research explains why agentic AI is your biggest security challenge.
Your winning strategy for $15,000 in prizes and career opportunities
Vibe coding is the new rhythm of software: start with a fuzzy idea, throw a prompt at an AI, and—boom—a demo runs. The catch? Creation is instant; correctness isn’t. This post unpacks that paradox.
The future of AI isn't about finding the perfect model—it's about orchestrating the right models for the right tasks.
Docker Compose now supports AI models as first-class citizens with the new models top-level element. Adding machine learning capabilities to your applications is now as simple as defining a model and binding it to your services.
The MCP Gateway is Docker’s answer to the growing complexity and security risks of connecting AI agents to MCP servers. By aggregating multiple MCP servers behind a single, secure interface, it gives developers and teams a consistent way to build, scale, and govern agent-based workloads.
Docker Scout reveals the shocking truth: the standard python:3.13 image harbors 152 vulnerabilities across 40 packages. Meanwhile, Docker Hardened Images shows zero detected vulnerabilities. It's the same Python functionality with enterprise-grade security built in
Agentic AI
Discover how Docker's revolutionary cagent framework is transforming AI agent development with simple YAML configurations, multi-agent orchestration, and seamless tool integration.
Docker. Kubernetes. Agentic AI.
Learn everything about Docker Hardened Images (DHIs) - secure, minimal, production-ready container images that reduce vulnerabilities by 95%, ensure compliance, and integrate seamlessly into existing workflows.
Model Context Protocol promises seamless AI-tool integration, but real-world vulnerabilities with CVSS scores above 9.0 are compromising everything from GitHub repositories to production databases. Here's how we fix it before it's too late.
Confused about MCP vs RAG? You're not alone. These two AI technologies are transforming how we make language models smarter, but they work in completely different ways.
If you’ve ever spent hours debugging a misconfigured probe or chasing down a rogue config drift, you’re not alone. This post is a no-fluff breakdown of the top Kubernetes headaches every DevOps engineer encounters, paired with proven fixes, pro tips, and real-world examples to save your sanity.
Docker Desktop has evolved far beyond containerization. These 5 features are reshaping development workflows: Model Runner (local AI), MCP Toolkit (secure agents), Docker Offload (cloud GPUs), Debug (enhanced troubleshooting), and Agentic Compose (AI infrastructure).
Ready to revolutionize your AI workflow? Start your GPT-OSS journey today and join the open AI revolution.
A comprehensive guide to deploying scalable, secure AI agent orchestration using Docker MCP Gateway and Python FastAPI
Transform your local AI into a powerhouse with 176+ tools! Learn how to integrate Docker MCP Toolkit with LM Studio 0.3.17 for web search, GitHub operations, database management, and web scraping - all running locally with complete privacy. Complete setup guide with real troubleshooting tips. 🤖🔧
Stop letting local machine constraints limit your AI ambitions. Docker Offload brings NVIDIA L4 GPUs with 23GB of memory to your fingertips—no hardware investment, no cloud complexity, just familiar Docker commands with unlimited compute power
Ever stared at a blank screen during hackathon registration, wondering "What should I build?" while watching everyone else confidently submit their ideas? You're not alone.
Master Agentic Compose: The complete guide to Docker's new AI-native syntax. Learn models as first-class citizens, MCP Gateway patterns, secrets management, Docker Offload scaling, and advanced multi-agent architectures. Includes full working examples.
From laptop to production in one command: Docker MCP Gateway + Docker Offload lets you test AI agents locally with 8B models, then seamlessly scale to 30B models in the cloud. Complete guide to production-ready agentic AI deployment with intelligent interceptors and enterprise security.