Several AI CLIs shared a memory system we designed ourselves, in one workspace, for a year. It accumulated about a thousand episodic memories and more than five hundred knowledge notes. What caused the loss was not that the AI forgot. It was that the AI trusted something it had not checked. This piece covers the three fixes in Ghost In Shell 5.2, and six pitfalls we hit ourselves, each with the check we use now.
How to turn manual copy-pasting across CLI agent terminals into auditable mutual task assignment using dynamic discovery, capacity allocation, and file-first handoffs.
Running multiple AI coding agents but still copy-pasting between terminals by hand? tmux-bridge-mcp lets agents read and write each other's terminals over MCP, with install steps, supply-chain security review notes, and multi-agent terminal tuning tips
How do you let the same Kanban board be programmatically managed by any AI Agent while rendering beautifully in real-time via Claude Desktop's Live artifacts, even letting you edit cards straight from the UI? Breaking down the three-layer co-governance architecture of data, MCP bridge, and presentation, with a full walkthrough of my actual Morning War Room implementation and security red lines.
Horizontal comparison of five mainstream AI Agent tools: memory persistence, Hook extensibility, Skill routing, and cross-platform integration, with scenario-based recommendations.
Seven real-world AI Agent disaster stories from six months of use: from rm -rf burns and API Key leaks to total cross-session amnesia, every mistake became a system safeguard.
A hands-on guide to building an AI Agent system: from directory layout and boot config to three-layer memory architecture and hook-based guardrails, seven steps to a working Agent workflow.
Design a complete AI Agent system architecture from the ground up, covering six layers: identity, memory, routing, gating, cross-platform, and safety. Understand what each layer solves and how they interconnect.
AI Agent automation brings efficiency but also risk. This article shares 10 battle-tested safety baseline rules with Hook gatekeeper implementation concepts, helping you build an AI workflow that won't self-destruct.
How to share a single AI Agent memory across Claude Code, GitHub Copilot CLI, and Antigravity CLI (agy). Comparison of entry configs, @import mechanisms, and cross-platform injection strategies.