Oleg Selajev
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Docker at AI Engineer Paris: Build and Secure AI Agents with Docker
Highlights from AI Engineer Paris: how Docker’s MCP Toolkit & Catalog and cagent help teams build, run, and secure AI agents—from local dev to production.
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Docker MCP Toolkit: MCP Servers That Just Work
Run 200+ MCP servers securely with Docker MCP Toolkit. Configure AI tools and workflows in just a few clicks inside Docker Desktop.
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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…
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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
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Building AI agents made easy with Goose and Docker
Learn how you can build an AI agent easily with Goose and Docker Model Runner.
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AI-Powered Testing: Using Docker Model Runner with Microcks for Dynamic Mock APIs
Learn how to create AI-enhanced mock APIs for testing with Docker Model Runner and Microcks. Generate dynamic, realistic test data locally for faster dev cycles.
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Building an Easy Private AI Assistant with Goose and Docker Model Runner
Learn how to build your own AI assistant that’s private, scriptable, and capable of powering real developer workflows.
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How to Run Hugging Face Models Programmatically Using Ollama and Testcontainers
Learn how you can programmatically consume and run AI models from Hugging Face with Testcontainers and Ollama.
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