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, …

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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 …

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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 …

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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 …

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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 …

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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 …

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