18 Sep 2025

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Docker and CNCF: Partnering to Power the Future of Open Source

At Docker, open source is not just something we support; it's a core part of our culture. It's part of our DNA. From foundational projects like Docker Compose (35.5k stars, 5.4k forks) and Moby (69.8k stars, 18.8k forks) to our continued code contributions, we remain committed to strengthening the open-source ecosystem. Today, we are announcing...

18 Sep 2025 4:00pm GMT

Build and Distribute AI Agents and Workflows with cagent

cagent is a new open-source project from Docker that makes it simple to build, run, and share AI agents, without writing a single line of code. Instead of writing code and wrangling Python versions and dependencies when creating AI agents, you define your agent's behavior, tools, and persona in a single YAML file, making it...

18 Sep 2025 4:00pm GMT

Docker Model Runner General Availability

We're excited to share that Docker Model Runner is now generally available (GA)! In April 2025, Docker introduced the first Beta release of Docker Model Runner, making it easy to manage, run, and distribute local AI models (specifically LLMs). Though only a short time has passed since then, the product has evolved rapidly, with continuous...

18 Sep 2025 12:19pm GMT

17 Sep 2025

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How to Build Secure AI Coding Agents with Cerebras and Docker Compose

In the recent article, Building Isolated AI Code Environments with Cerebras and Docker Compose, our friends at Cerebras showcased how one can build a coding agent to use worlds fastest Cerebras' AI inference API, Docker Compose, ADK-Python, and MCP servers. In this post, we'll dive deeper into the underlying technologies and show how the pieces...

17 Sep 2025 4:00pm GMT

16 Sep 2025

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MCP Security: A Developer’s Guide

Since its release by Anthropic in November 2024, Model Context Protocol (MCP) has gained massive adoption and is quickly becoming the connective tissue between AI agents and the tools, APIs, and data they act on. With just a few lines of configuration, an agent can search code, open tickets, query SaaS systems, or even deploy...

16 Sep 2025 1:00pm GMT

15 Sep 2025

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The Nine Rules of AI PoC Success: How to Build Demos That Actually Ship

That study claiming "95% of AI POCs fail" has been making the rounds. It's clickbait nonsense, and frankly, it's not helping anyone. The real number? Nobody knows, because nobody's tracking it properly. But here's what I do know after years of watching teams build AI systems: the study masks a much more important problem. Teams...

15 Sep 2025 1:00pm GMT

10 Sep 2025

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From Hallucinations to Prompt Injection: Securing AI Workflows at Runtime

How developers are embedding runtime security to safely build with AI agents Introduction: When AI Workflows Become Attack Surfaces The AI tools we use today are powerful, but also unpredictable and exploitable. You prompt an LLM and it generates a Dockerfile. It looks correct. A shell script? Reasonable. You run it in dev. Then something...

10 Sep 2025 1:00pm GMT

05 Sep 2025

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Docker Acquisition of MCP Defender Helps Meet Challenges of Securing the Agentic Future

Docker, Inc.®, a provider of cloud-native and AI-native development tools, infrastructure, and services, today announced the acquisition of MCP Defender, a company founded to secure AI applications. The rapid evolution of AI-from simple generative models to powerful agentic tools-has transformed software development in extraordinary ways. But as with all powerful technologies, new capabilities bring new...

05 Sep 2025 1:00pm GMT

04 Sep 2025

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Hybrid AI Isn’t the Future — It’s Here (and It Runs in Docker using the Minions protocol)

Running large AI models in the cloud gives access to immense capabilities, but it doesn't come for free. The bigger the models, the bigger the bills, and with them, the risk of unexpected costs. Local models flip the equation. They safeguard privacy and keep costs predictable, but their smaller size often limits what you can...

04 Sep 2025 1:00pm GMT

03 Sep 2025

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You are Doing MCP Wrong: 3 Big Misconceptions

MCP is not an API. Tools are not agents. MCP is more than tools. Here's what this means in practice. Most developers misread the Model Context Protocol because they map it onto familiar API mental models. That mistake breaks agent designs, observability, and the "last mile" where non-deterministic reasoning must meet deterministic execution. This piece...

03 Sep 2025 4:59pm GMT