M9A

What M9A automates

M9A is an assistant for the mobile game Reverse 1999, whose Chinese title is returned future 1999. The README describes it as a helper built on a new architecture that combines image technology with simulated control to free the player's hands. It is powered by MaaFramework, a general game automation framework, and the README links to that project as the engine behind M9A. The platform badges show support for Windows, Linux, and macOS, and the language badge shows Python, while the license badge points to AGPL-3.0.

The README's feature list is long and concrete. It includes launching and closing the game, collecting the resource called wilderness, and performing the daily psychube pull known as will parsing. It lists smart balanced material farming, regular operations, event token farming, automatic deep sleep, automatic wake dream, bank shopping, claiming rewards, using redemption codes, switching accounts, and switching art frames. These are the repetitive daily and weekly actions a player would otherwise tap through by hand. By automating them, M9A targets the grind side of the game rather than the story or combat strategy. The README presents an English README and a Simplified Chinese README, so non Chinese readers can follow the documentation. A user should see M9A as a scheduler of routine tasks that the game already allows, executed through screen reading and input simulation.

Supported game tasks

The feature list goes deeper into specific content. It names event and side modes such as the outer演绎 entries dusk sound sequence and silent syndrome, replay event map pushes, the box exchange tournament also called rubbing gymnastics, when the alarm rings, event map pushes covering both main and event content, the tipping chess speed run, the pre rain roam guide, the UTTU flicker gathering, and complete induction. It also lists character upgrade in beta and trust rewards, plus an 8 bit arcade show. These names map to the game's rotating events and permanent modes, and the assistant aims to clear or farm them automatically.

The breadth shows M9A tracks the game as it updates, because live service games add events that need new automation. The README does not describe the internals of each task, only that the task exists in the list, so a user confirms behavior through the linked manuals. The split between always available routines, like daily pulls and material farming, and time limited event pushes, like the named ceremonies, is the practical value: a player can leave the assistant to handle both the constant upkeep and the current event. The beta tag on character upgrade signals that one task is less finished than the others. Overall the list is the clearest statement of what M9A can do, and it is the reference a user checks before running the tool.

Platform and setup

The README states M9A runs on Windows, Linux, and macOS, which covers the three common desktop platforms, and it is built in Python. The AGPL-3.0 license is shown by a badge and matters for anyone who modifies the tool, since that license requires sharing changes when the software is distributed. The project is driven by MaaFramework, so setup and connection follow that framework's model of reading the game screen and sending input.

For usage the README links three manuals on the 1999.fan site. The newbie guide is marked as required reading before use, with a note that it covers quick configuration and startup. The feature introduction explains functions and tips in detail, and the connection settings page covers how to link the assistant to the game. The README does not embed the setup commands, so a reader follows those external pages. The download badges and the MirrorChyan link suggest the project is distributed as built packages rather than only from source, though the exact install steps live in the manuals. A new user should read the newbie guide first, configure the connection to the game client, and then enable the specific tasks from the feature list. The high star and fork counts in the metadata reflect a large user base for this kind of game assistant.

Editorial conclusion

M9A is written in Python, runs on Windows, Linux, and macOS, and is licensed under AGPL-3.0. It is powered by the MaaFramework and exposes tasks such as launching the game, collecting resources, daily pulls, material farming, and event stages.