ai-devkit vs markplane
ai-devkit: AI DevKit is a local-first operating layer for teams running several coding agents. One .ai-devkit.json reconciles skills, MCP and setup across Claude Code, Codex CLI, Gemini CLI, opencode, Pi, Cursor, Copilot and others; agent console is a live TUI for running sessions; agent send routes prompts, logs or stdin to a running agent; and a local SQLite memory is searched over MCP when needed. A dev-lifecycle skill guides requirements, design, planning, implementation, testing and review.; markplane: Markplane stores every task, epic, and plan as a markdown file inside your repo, version-controlled with git, and automatically compressed into token-efficient summaries for AI assistants. It eliminates the need for external SaaS tools, keeping project context within the codebase.
TL;DR
Keeping one setup across Claude Code, Codex and Cursor in a team repo
AI-assisted project management
Side-by-Side Comparison
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