Docker Blog
-
Beyond Containers: llama.cpp Now Pulls GGUF Models Directly from Docker Hub
Learn how llama.cpp is using Docker Hub as a powerful, versioned, and centralized repository for your AI models.
Read now
-
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…
Read now
-
Docker and CNCF: Partnering to Power the Future of Open Source
We’re announcing an official partnership between Docker and the CNCF to strengthen the open-source ecosystem.
Read now
-
Docker Model Runner General Availability
Docker Model Runner offers a new way for developers to manage, run, and share local AI models with cutting-edge features and more on the way.
Read now
-
How to Build Secure AI Coding Agents with Cerebras and Docker Compose
Learn how to build a secure, portable AI coding agent with Docker Compose, MCP Gateway, and Cerebras Cloud—plus a no-network code sandbox using Testcontainers
Read now
-
MCP Security: A Developer’s Guide
MCP security refers to the controls and risks that govern how agents discover, connect to, and execute MCP servers.
Read now
-
The Nine Rules of AI PoC Success: How to Build Demos That Actually Ship
Build AI POCs that ship. Use remocal workflows, start small, design for production, track costs, and involve users to move from demo to dependable deployment.
Read now
-
From Hallucinations to Prompt Injection: Securing AI Workflows at Runtime
Stop LLM mishaps before production. Secure AI agents at runtime with Docker Desktop, Docker Scout, hardened images, and policies against prompt injection.
Read now