FAQ
Explore how AI DevKit gives AI coding agents one local setup, console, memory layer, communication path, and verification workflow.
Detailed FAQ Articles
Codex Sandbox Troubleshooting for npx ai-devkit
Fix common Codex sandbox permission issues when running npx ai-devkit, including npm registry access, npm cache EPERM errors, and memory database initialization.
Use ai-devkit agent send --wait for Programmatic Agent Calls
Use ai-devkit agent send --wait to call an existing supported interactive coding-agent session from scripts and automation.
AI DevKit Pi Integration
How to improve AI DevKit's Pi session detection with the @ai-devkit/pi-session-tracker package.
AI DevKit Codex Integration
Configure Codex SessionStart hooks so AI DevKit can more reliably detect, inspect, and message running Codex sessions.
AI DevKit vs SuperClaude
A practical comparison of AI DevKit and the SuperClaude framework for developers using Claude Code and other AI coding agents.
AI DevKit vs Agent OS
A practical comparison of AI DevKit and Agent OS for teams doing spec-driven development with AI coding agents.
AI DevKit vs BMAD Method
A practical comparison of AI DevKit and the BMAD-METHOD agile AI-driven development framework.
Persistent Memory for Claude Code
Give Claude Code persistent, searchable memory across sessions with AI DevKit's local MCP memory server — no cloud, no prompt bloat.
AGENTS.md Best Practices
What AGENTS.md is, how to write a good one, and how AI DevKit generates and keeps agent instruction files consistent across tools.
AI DevKit vs Spec Kit
A practical comparison of AI DevKit and GitHub Spec Kit for teams standardizing AI coding agents.
AI DevKit vs Superpowers
A detailed comparison between AI DevKit and Superpowers for teams standardizing AI coding agents.