Latest Articles

Pi Agent Harness starts with a minimal terminal agent core and separates model interfaces, tool execution, sessions, extensions, and sandbox boundaries. This article covers the architecture, CLI quick start, skills and extensions, and a practical path to containerized AI coding agents.

Strix is an open source AI penetration testing tool that allows multiple agents to collaborate to perform reconnaissance, testing and vulnerability verification, and connects to the development process through CLI, Docker and CI workflows. This article sorts out the problems it is really suitable to solve, the import costs and security boundaries, from the scope of authorization, the first scan to the automatic check of Pull Request.

HKUDS/nanobot is a self-buildable personal AI Agent framework developed in Python, integrating WebUI, CLI, chat channel, tools, long-term memory, MCP, sub-agent, scheduling and OpenAI-compatible API. This article summarizes how it moves from a chat robot to a permanent workbench from the perspective of Agent loop, quick start, self-established boundaries and engineering checkpoints.

Giving an AI Agent internet access means dealing with platform differences, authentication, dependencies, routing, and failures. This article explains how Agent Reach combines an installer, health checks, and multi-backend routing into a maintainable toolchain for web pages, GitHub, video, RSS, and social platforms, while also covering safe adoption and practical limits.

A practical guide to Kubernetes control loops, Deployments, Services, probes, rolling updates, and the platform foundations of production AI services.

PrivateGPT 1.0 is not a model executor, but an API-first private AI application backend: connecting the local inference server with RAG, references, tools, MCP, database queries and front-end applications. This article dismantles its architecture, installation path, import sequence and security boundaries.