Botright is a Python library built on Playwright that provides advanced browser automation with stealth features to evade bot detection. It includes proxy management, fingerprint spoofing using real browser profiles (chrome-fingerprints), human-like mouse movements, and CAPTCHA solving for hCaptcha, reCAPTCHA, and Geetest (though Geetest support is currently disabled). The library wraps Playwright's API with a custom layer that intercepts browser events, modifies user agent, platform, and other fingerprinting vectors, and injects anti-detection scripts. It supports both headless and headed modes, proxy rotation, and response caching. The codebase is well-structured but has commented-out modules indicating incomplete transitions (e.g., Geetest).
This repository is a heavily modified fork of the RuneLite client for Old School RuneScape (OSRS), extended with a comprehensive automation and botting framework branded as 'Microbot'. The system provides a full game client with a plugin architecture, overlays, configuration system, and event bus, plus a large set of automation scripts for questing, combat, walking, banking, and inventory management. The core application is a Java desktop client using Swing, Guice dependency injection, and LWJGL for GPU rendering. Key entry points include the RuneLite main class, the Microbot plugin (which orchestrates script execution), and an HTTP agent server that exposes client state and allows remote control. The architecture is modular with composite Gradle builds for the cache, API, and client modules, but the microbot automation code is tightly coupled to game internals and relies on hardcoded IDs and reflection, making it fragile to game updates. The codebase integrates a vendored shortest-path planner (upstreamPlanner) for pathfinding, a quest helper subsystem with hundreds of quest-specific step classes, and a natural mouse movement library for human-like input simulation. External dependencies include OkHttp for network requests, Gson for serialization, and FlatLaf for UI theming. The project also includes cache-reading tools for extracting game definitions (items, NPCs, objects, interfaces, scripts) and a crowdsourcing plugin for collecting gameplay data. While the official RuneLite plugins are preserved, the majority of development effort appears focused on the automation layer, which introduces significant maintenance risk and potential policy violations.