react-loop

Agent Mini is a minimal, open-source AI agent written in ~3k lines of Python that prioritizes readability and local-first operation using Ollama, offering practical tools while avoiding heavy frameworks.

The author argues that hardware-level interaction (HDMI capture + USB HID touch simulation) is superior to ADB-based automation for building OS-agnostic general-purpose AI agents, and introduces their project Aiden using a cheap RV1106 dev board.

This article provides a detailed breakdown of the Hermes Agent architecture, including the event bus, adapter layer, GatewayRunner core scheduler layer, etc., revealing the design pattern of the Agent as a stateful, event-driven runtime.

A comprehensive guide to AI agents, covering the basics, the ReAct loop, task decomposition, context engineering, and the autonomy spectrum, aimed at both beginners and those building production systems.

The author investigates how small the orchestration model in a local-first agent can be while maintaining trustworthiness, finding that tool-call discipline breaks before reasoning, and a 35B-A3B MoE model proves viable on 12GB hardware.