cxt: Pack full codebase context for AI agents from the command line
Aggregate directories and files into a single, AI-ready context block using cxt, a command-line utility that packs code with XML tags and path headers. Chinmay Krishn Roy built the tool for developer workflows integrating agentic assistants, combining a streaming architecture, clipboard output, and an interactive terminal picker. The app targets developers and AI researchers who need quick, structured context delivery to coding agents without manual copy-and-paste, supporting language filters and zero-configuration defaults.
What does cxt do and who should run it?
cxt assembles code into one structured stream: it combines entire directories and individual files into a single output, wraps file contents with XML tags, and prepends file path headers. The tool is aimed at developers and AI researchers who supply context to Large Language Models and agentic coding tools. Its clipboard integration and file output modes let you paste a ready-made context block into chats or save it for agent pipelines.
How does it affect system resources during large operations?
Designed for low memory pressure, cxt uses a streaming architecture and advertises O(1) memory usage, which means it processes large codebases without holding the whole tree in RAM. For large repositories this approach avoids spikes in memory consumption; the tool streams data to the clipboard or to a file rather than buffering it all at once, so background operation on a typical desktop remains compact.
Is the formatted output safe and helpful for AI agents?
Output is agent-oriented and machine-parseable: cxt applies XML-style tagging and includes absolute or relative file paths so models and agents can distinguish files and locations. The format reduces manual context assembly and clarifies file boundaries. Clipboard delivery sends the aggregated block ready for insertion into chat interfaces, and the explicit path headers help downstream tools map snippets back to the repository layout.
Does using cxt require technical setup or advanced skills?
Command-line operation with interactive selection is the norm: the tool provides a Terminal User Interface picker for manual selection and a --lang filter for extracting language-specific files. It works with sensible defaults out of the box, so basic tasks run without configuration, while developers comfortable with CLI flags can tailor outputs precisely for agent workflows.
Practical CLI utility for developers feeding AI agents, with a command-line trade-off
cxt is a purpose-built tool for preparing and delivering complete code context to AI assistants, relying on streamed output and XML tagging to keep memory usage minimal. It suits developers who work in terminal environments and who accept a CLI workflow; the main trade-off is that users who prefer graphical tools must adapt to command-line selection and flags.
