mongotar (huMONGOus TAR)

Files to prompt, and back.

A simple tool for serializing and deserializing files (with permissions and .gitignore exclusion) into a human-readable text file.

Inspired by GNU tar, Go's txtar, and files-to-prompt. mongotar bundles files into a single, human-readable text file. Unlike most "codebase to prompt" tools, it can reliably turn that text file back into files.

To achieve that, and unlike other "plain-text archive" formats, it stores basic user file permissions (rw/rwx) together with the file paths.

mongotar 101

$ mongotar src/ config.txt project.mongotar
  Successfully serialized items to 'project.mongotar'

$ cat project.mongotar
  --- config.txt --- rw
  debug=true

  --- src/main.py --- rw
  print("hello")

$ mongotar -d -f project.mongotar .
  Successfully deserialized 'project.mongotar' to '.'

Why mongotar?

mongotar is at the intersection of two different tool categories:

1. Dump a repo into one blob for sending to an LLM. This is the space of players such as: Repomix, gitingest, files-to-prompt, and code2prompt. Unlike the first two, mongotar is less "full repo serialization", and has good UX for hand picking which files to serialize. None of them round-trips like mongotar, which can be useful for some LLM workflows (see later).

2. Plain-text archive formats. This is the space of tools like txtar and shar. mongotar's differentiator here is its simultaneous focus on round-tripping, human-readability, and .gitignore support.

mongotar follows UNIX-philosophy, and deliberately has no LLM-specific features baked in. Those features are to be built on top of this small core (700 LOC).

What motivated mongotar was agentic use cases. Say, a skill composes a problem description and appends relevant files to it without loading them into the agent's context, and sends them to another LLM. If the other LLM hands back a complete set of modified files, it can be deserialized back into the file system (rather than a diff that may not apply cleanly).

Indeed, diff formats are known to be fragile against LLM output, so whole-file output tends to be more reliable.

In short:

Some Features

• Library: Besides CLI, mongotar can be imported and used directly in Python projects.
• Safe Deserialization: By default, does not overwrite existing files. Use -f/--force to enable overwriting.
• VCS Exclusion: Version-control directories (.git, .svn, .hg, CVS, ...) are always excluded. Optional -e/--exclude-vcs additionally respects .gitignore files, with git precedence.
• Pattern Exclusion: --exclude=PATTERN skips paths matching a glob-style pattern, like GNU tar's --exclude.

The default file extension is .mongotar, but any extension can be used. You can even pipe to stdout.

Format

    Free text before the first file header is an optional comment section.

    --- path/to/file.txt --- rw
    This is the content of the first file.
    It can span multiple lines.

    --- path/to/another/script.sh --- rwx
    #!/bin/bash
    echo "Hello from the script!"

    --- empty_file.txt --- rw

    --- path/to/file2.txt --- rw
    Content of the second file.

• Header format: --- <filepath> --- <permission>
• Separator: Two newlines (\n\n) separates the content of one file from the header of the next.

Example

Suppose you have a directory structure like this:

my_project/
├── main.py
├── config.txt
└── scripts/
    └── run.sh       (executable)

Running mongotar my_project my_project.mongotar produces:

--- my_project/main.py --- rw
print("hello")

--- my_project/config.txt --- rw
debug=true

--- my_project/scripts/run.sh --- rwx
#!/bin/bash
echo "running"

Running mongotar -d -f my_project.mongotar . recreates the same tree, with run.sh restored as executable.

Installation

Requires Python 3.14+.

pip install mongotar

After installation, the mongotar command will be available in your PATH.

Or from source:

git clone https://github.com/sebastiancarlos/mongotar
cd mongotar
uv tool install .

Usage (mongotar CLI)

mongotar path/to/file_or_directory [path/to/another ...] output.mongotar

-d/--deserialize: Deserialize an archive back into a directory.

mongotar -d my_project.mongotar output_dir/

-e/--exclude-vcs: makes .gitignore rules apply.

mongotar -e src/ my_project.mongotar

--exclude PATTERN:

mongotar --exclude '*.log' --exclude '*/build' src/ my_project.mongotar

Output to stdout: use - as the output path.

mongotar src/ config.txt - > my_project.mongotar

Limitations

• Permissions Model: Only user permissions are stored and restored (rw or rwx). Group/other permissions are ignored during serialization and not set during deserialization.
• Binary Files: Not designed for binary files. Files with non-UTF-8 characters will be skipped.
• Cross-platform: Windows supported, but everything serializes as rw (Windows has no concept of executable permissions).
• No symlink support: Symlinks are not supported and will be ignored during serialization (with a warning).
• Header collision: The archive format has no escaping (matching txtar behavior). Serialization will skip any file whose content contains a line matching the header format (--- path/to/file --- rw), logging a warning (rare case anyway).

Why not just use Repomix/gitingest/etc?

Those tools tend to encompass the entire pipeline of generating a prompt. mongotar's output is meant to be a component you embed inside a message, and which you can turn back into real files.

If you just want to paste your entire repo into ChatGPT once, use Repomix or gitingest. They're better at that.

mongotar's closest relative is files-to-prompt, which shares the simple, "Unix CLI" philosophy. The notable difference is deserialization.

License

MIT