

ArchiSteamFarm
ArchiSteamFarm: Automate Your Steam Trading Card Farming
An advanced and efficient Steam farming bot for power users
Project Overview
ArchiSteamFarm (ASF) is a powerful open-source C# application that automates the farming of Steam trading cards. By emulating the Steam client, ASF allows users to idle games across multiple accounts to collect card drops without manual intervention.
ASF is cross-platform, supporting Windows, Linux, macOS, and even low-resource devices like Raspberry Pi. It’s designed for flexibility, scalability, and performance, offering both simple usage for beginners and deep configuration options for advanced users.
Reasons for Recommendation:
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Automates Tedious Tasks
ASF eliminates the need to manually idle games to collect trading cards. Just configure your accounts once, and the bot takes care of the rest in the background. -
Multi-Account Management
ASF supports simultaneous farming across multiple Steam accounts. Each account can have its own configuration, making the tool ideal for both personal and commercial use. -
Rich Features and Customization
With support for remote control, IPC, advanced farming strategies, and scripting, ASF offers unparalleled control and automation potential. -
Cross-Platform and Lightweight
You can run ASF on almost any system — from a full desktop PC to a headless Linux server or even a Raspberry Pi. It’s optimized for low CPU and memory usage. -
Open-Source and Actively Maintained
ASF is maintained by an experienced developer with frequent updates and strong community support. The codebase is transparent and follows good security practices. -
Comprehensive Documentation
The GitHub repository includes extensive documentation, configuration guides, and a helpful FAQ section to get you started quickly.
Whether you’re a casual gamer looking to make the most of your Steam library or a developer interested in automation, ArchiSteamFarm is a robust and trustworthy solution worth exploring.
👉 GitHub Repository: https://github.com/JustArchiNET/ArchiSteamFarm
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