MimiClaw turns a tiny ESP32-S3 board into a personal AI assistant. It's a local-first, portable, privacy-first AI that runs on a $5 chip without requiring Linux, Node.js, or a server. It supports Anthropic (Claude) and OpenAI (GPT) and stores all data locally.
MimiClaw is an AI agent that runs on a $5 ESP32 board and delivers an OpenClaw-like experience, putting a private assistant in your pocket. It operates as a bare-metal AI agent, storing data in text files and interacting with the real world through GPIO pins.
An introduction to semantic model-driven AI, exploring how SHACL (Shape Constraint Language) can improve the reliability of LLM responses by providing structure and constraints to data.
Gemini CLI extensions can now define settings that the user will be prompted to provide upon installation, ensuring extensions have exactly what they need to function from the moment you install them. This post details the benefits of extension settings, provides a practical example with the AlloyDB extension, and explains how to define settings as an author and manage them with the config command.
In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge units. We design the system so that reasoning and memory management are clearly separated, allowing a dedicated component to extract, compress, and organize information. At the same time, the main agent focuses on responding to the user. We use structured storage with SQLite, scene-based grouping, and summary consolidation, and we show how an agent can maintain useful context over long horizons without relying on opaque vector-only retrieval.
This article explains the differences between Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and AI Agents, highlighting that they solve different problems at different layers of the AI stack. It also covers how ChatGPT routes prompts and handles modes, agent skills, architectural concepts for developers, and service deployment strategies.
MimiClaw is an OpenClaw-inspired AI assistant for ESP32-S3 boards, acting as a gateway between Telegram and Claude LLM to control hardware via chat. It's written in C, requires minimal resources (16MB flash, 8MB PSRAM), and offers low-power operation (0.5W).
An exploration of Claude 3 Opus's coding capabilities, specifically its ability to generate a functional CLI tool for the Minimax algorithm with a single prompt. The article details the prompt used, the generated code, and the successful execution of the tool, highlighting Claude's impressive one-shot learning and code generation abilities.
Google is introducing the Web Model Context Protocol (WebMCP) to allow AI agents to interact with websites in a more efficient and reliable way, moving away from screen scraping. This protocol enables direct communication between websites and AI models, defining website capabilities for AI access through HTML attributes or JavaScript APIs. The Early Preview Program (EPP) is being used to refine the protocol and gather data. WebMCP offers lower latency, higher accuracy, and reduced costs compared to traditional methods.
Cloudflare launched Markdown for Agents, converting HTML pages to markdown automatically when AI crawlers request it through content negotiation. This feature is available in beta at no additional cost for eligible paid plans.
