Install and use dmr, the standalone Docker Model Runner: one binary with the inference daemon and the full model CLI, no Docker Desktop needed.

Serve a GGUF model with llama.cpp, point Docker Agent at it with a short agent.yaml, and get a fully local code agent running in minutes.

The #M5Ultra #MacStudio is a powerful machine for running local #AIagents, outperforming its predecessor and even a high-end gaming PC in some areas. With its improved #GPU and #memorybandwidth, it enables faster #promptprocessing and #generation, making #localmodels a viable option for tasks like #research and #writing. The benefits of local AI include privacy and cost savings. https://www.macstories.net/stories/m5-ultra-mac-studio-review-the-dream-mac-for-local-ai-agents/?eicker.news #tech #news #ainews

Build a mini local code agent with Docker Agent and Docker Model Runner: a single shell tool on the small Mellum2 model, the agent loop, and running it safely in an sbx sandbox.

Add typed filesystem operations and a todo task list to a local Docker Agent, with allow_list scoping to keep the small model safely inside its working directory.

24 May (TechNova Insight); Raycast AI has introduced a groundbreaking update that enables users to run powerful AI models entirely offline. By integrating with

Qwopus distills Claude Opus 4.6 into a local Qwen model (Qwen-7B/14B); Decrypt reported the project on Apr 12, 2026, saying it is 'surprisingly close' to the original.