AI Agent
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Feb 17, 2026
The Multi-Model Database for AI Agents: Deploy SurrealDB with Docker Extension
Deploy SurrealDB in Docker Desktop with its extension, then build a WhatsApp RAG chatbot using vectors, graphs, and real-time queries all in one database.
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Feb 16, 2026
Running NanoClaw in a Docker Shell Sandbox
Learn how to run NanoClaw, a Claude-powered WhatsApp assistant, inside a Docker Sandboxes shell sandbox for stronger isolation and proxy-managed API keys.
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Guest Contributor Jan 15, 2026
Permission-Aware RAG: End-to-End Testing with the SpiceDB Testcontainer
Learn how to validate permissions in RAG pipelines end to end using Testcontainers and SpiceDB – covering setup, test data, and policy checks developers can trust.
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Docker Captain Dec 16, 2025
Develop and deploy voice AI apps using Docker
Build real-time voice agents with Docker. Use EchoKit, Model Runner, and the MCP Toolkit to run ASR/LLM/TTS locally or in the cloud
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Dec 12, 2025
How to Add MCP Servers to ChatGPT with Docker MCP Toolkit
Learn how to add MCP servers to ChatGPT by connecting to the Docker MCP Toolkit and see it in action with a real-world demo.
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Dec 2, 2025
Building AI agents shouldn’t be hard. According to theCUBE Research, Docker makes it easy
For most developers, getting started with AI is still too complicated. Different models, tools, and platforms don’t always play nicely together. But with Docker, that’s changing fast. Docker is emerging as essential infrastructure for standardized, portable, and scalable AI environments. By bringing composability, simplicity, and GPU accessibility to the agentic era, Docker is helping developers…
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Docker Captain Nov 18, 2025
Launch a Chat UI Agent with Docker and the Vercel AI SDK
Build and deploy a production-ready Chat UI agent using Docker and the Vercel AI SDK. Start from the Next.js template and launch locally or in production fast.
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Oct 6, 2025
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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