auto-maple
Python AI for playing MapleStory using machine learning and computer vision
GraphCanon updated Sep 23, 2026 · GitHub synced Sep 23, 2026
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Decision brief
Auto Maple employs TensorFlow for machine learning and OpenCV for computer vision to navigate and automate gameplay in MapleStory.
Good fit when
- When seeking to automate gameplay actions in MapleStory with specific support for command books tailored to the game's mechanics
- For users looking to integrate a quadtree-based Layout object for improved navigation through map routines
Avoid when
- When the need is for general-purpose game automation not specific to MapleStory's unique requirements and content
- For users who do not require or prefer not to use TensorFlow for machine learning aspects, focusing instead on more straightforward scripting methods
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Slowing (271d since push)
- As of Sep 23, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 23, 2026
- Security (OSV)
- No criticals
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install auto-mapleSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Auto Maple uses TensorFlow for machine learning and OpenCV for computer vision to play MapleStory by simulating key presses.
Capability facts
- Languages
- python
Source: github.language · Sep 23, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 23, 2026)
Auto Maple is an intelligent Python AI that plays MapleStory, a 2D side-scrolling MMORPG, using simulated key presseSource link
Tags
README
<h1 align="center" Auto Maple </h1 Auto Maple is an intelligent Python AI that plays MapleStory, a 2D side scrolling MMORPG, using simulated key presses, TensorFlow machine learning, OpenCV template matching, and other computer vision techniques. Community created resources, such...
For agents
This page has a .md twin and JSON over the API.