Letting Agents Assign Tasks to Each Other: A Practical Build from tmux to Handoff
How to turn manual copy-pasting across CLI agent terminals into auditable mutual task assignment using dynamic discovery, capacity allocation, and file-first handoffs.
How to turn manual copy-pasting across CLI agent terminals into auditable mutual task assignment using dynamic discovery, capacity allocation, and file-first handoffs.
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.
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.