Artemis is a powerful command line digital forensic and incident response (DFIR) tool that collects forensic data from Windows, macOS, and Linux endpoints. Its primary focus is: speed, ease of use, and low resource usage.
Notable features so far:

  • Setup collections using basic TOML files
  • Parsing support for large amount of forensic artifacts (25+)
  • Output to JSON or JSONL file(s)
  • Can output results to local system or upload to cloud services.
  • Embedded JavaScript runtime via Deno
  • Can be used as a library via artemis-core
  • MIT license

The goal of this book is to provide a comprehensive guide on how to use artemis and artemis-core.

Has this been tested on real incidents?


artemis is a new forensic tool written from scratch and it has not been tested in any production environment. It does however have an extensive test suite and has been carefully developed to make sure the data it produces is accurate.

If you are looking for a free and open-source forensic tool to lead an investigation, two (2) great options are:

During the development of artemis both of these tools were used to provide verification that the output of artemis is correct.
If you looking are for free and open-source forensic tool to add to your forensic toolkit or to casually review forensic data or compare the results of other forensic tools then artemis is a great option.

Over time as artemis matures, bugs are found and fixed, and feeback is given this statement will be updated when artemis ready to lead real world investigations.

artemis vs artemis-core

artemis is an executable that can be executed on Windows, macOS, or Linux systems.
artemis-core is a library that can be imported to an application to parse forensic data. artemis imports the artemis-core library to perform all of its forensic parsing.


You can find the source code on GitHub. If you find a bug feel free to open an issue. If you would like to contribute, please read the CONTRIBUTING guide prior to starting.


artemis, artemis-api, artemis-scripts, and this book are released under the MIT License