The open-source openclaw-china plugin (2.2K Stars) adds seamless AI assistant integration for DingTalk, QQ, and Enterprise WeChat, offering multi‑format messaging, proactive pushes, streaming responses, and a layered plugin architecture that keeps the core OpenClaw framework untouched.
Tencent announced that QQ will fully support running WeChat mini‑programs, enabling seamless cross‑platform usage for services like food delivery, ride‑hailing and shopping, while also boosting QQ's ecosystem and user experience amid declining mobile active users.
This article demonstrates how to set up a Python environment with Appium, install necessary tools, connect an Android device, and implement a script that automatically reads incoming QQ messages and replies with predefined responses, providing step‑by‑step instructions and sample code for mobile automation.
A widespread crash affecting QQ and TIM on Windows, iOS, and Android was caused by a vulnerability in the QQ NT kernel that allowed malicious code in group file previews to trigger the failure, and users are advised to clean chat records or await server-side fixes.
While storing early five‑ and six‑digit QQ IDs as int32 or int64 offers memory efficiency and fast queries, the later expansion to eleven‑digit numbers and potential inclusion of non‑numeric symbols makes a string representation preferable to ensure flexible, future‑proof handling of QQ numbers.
ICQ, the pioneering instant messaging platform that once boasted over 100 million users, announced its shutdown on June 26, urging users to migrate to VK Messenger, while reflecting on its historic rise, influence on Chinese services like QQ, and multiple ownership changes over nearly three decades.
The article examines the enduring popularity of QQ with over 500 million active users, compares its rich feature set and historical rivalry with WeChat, highlights shifting user trends, and discusses how both platforms have adapted their product strategies amid changing market dynamics.
This article details the systematic memory‑usage analysis and multi‑stage optimization performed on the desktop QQ Electron client, covering background challenges, target metrics, tooling, code and resource slimming, rendering layer tuning, Lottie handling, online monitoring, and the resulting stable sub‑300 MB memory footprint.
To curb Desktop QQ’s excessive Electron memory consumption, the team applied comprehensive profiling, code and resource slimming, thumbnail image generation, visible‑only DOM rendering, layer merging, Lottie animation tuning, API caching, and leak removal, achieving average usage around 228 MB and keeping all six processes below 300 MB with ongoing monitoring.
This article provides a comprehensive introduction to OAuth 2.0, its core concepts, advantages and disadvantages, details four authorization flows, and presents step‑by‑step Java Spring Boot implementations for GitHub, QQ, and WeChat third‑party login, including database design considerations and code examples.
Tencent’s latest QQ desktop release unifies Windows, macOS, and Linux under a new NT architecture built on Electron, promising smoother performance and easier maintenance while sparking debate over memory consumption and the choice against Qt.
The article examines how QQ unified its Windows, macOS, and Linux clients using the Electron‑based QQ NT architecture, contrasts this with Microsoft Teams’ recent shift from Electron to Edge WebView2 for better performance and lower memory usage, and discusses the trade‑offs developers face when selecting cross‑platform frameworks.
Tencent’s QQ reminder subscription push system combines push‑pull prefetching, heterogeneous MySQL/Redis storage, delayed‑queue triggers, Redis‑based rate‑limiting, task scattering, message‑queue decoupling, at‑least‑once delivery, and dual‑replica disaster recovery within a dispatcher‑worker architecture to ensure reliable, controllable, low‑latency mass notifications.
The article explains the theoretical minimum and maximum of Tencent QQ numbers, why the lower bound starts at 10001, what would happen if all IDs were exhausted, and how a bitmap can efficiently represent and deduplicate billions of QQ IDs using simple C++ code.
This guide demonstrates how to use Python on macOS to scrape love quotes, store them, and automatically launch QQ to send a random quote each day, including code snippets and steps to set up an Automator app for startup execution.
This article provides a step‑by‑step guide to integrating GitHub and QQ third‑party OAuth2 login in a Spring Boot backend, covering app registration, required URLs, state handling to prevent CSRF, and complete Java code for authorization, token exchange, and user info retrieval.
This tutorial explains how to set up Python and Appium on a PC, configure Android SDK and device debugging, and write a Python script that automatically reads and replies to QQ messages on an Android phone.
This step‑by‑step guide shows how to set up Python, Appium, JDK, Android SDK and a screen‑mirroring tool, connect an Android phone, verify the ADB connection, and run a complete Appium script that automatically reads and replies to QQ chats.
This tutorial shows how to install the Python pynput library and use it to programmatically control the keyboard and mouse, enabling you to create a basic QQ message‑spamming script that can send repeated messages on both Windows and macOS platforms.
This guide walks through preparing a CentOS 7.5 environment, installing GNOME and xrdp for remote desktop access, and then downloading, uploading, and executing the QQ for Linux installation script, culminating in launching the client and logging in via QR code.
The 2020 Tencent QQ Spring Festival Red Packet system achieved stable, high‑performance operation by using dynamic global configurations, a two‑stage geographic and hash‑based staggering scheme, layered real‑time data reporting with batch aggregation, controlled Wi‑Fi‑only resource pre‑download, and flexible feature switches to limit backend load during peak usage.
The article details how QQ migrated all of its services to Tencent Cloud, describing the business scenarios, migration timeline, technical approaches, challenges such as cost, security, and performance, and the operational and architectural lessons gained from the full cloud transition.
Tencent’s QQ service migrated over a million servers to public cloud, detailing comprehensive planning, phased execution, and solutions to security, dependency, disaster recovery, and gray‑scale challenges, while highlighting infrastructure upgrades, database migration, cloud‑native tools, and operational transformations that ensured zero user impact.
This guide walks you through installing the Deepin‑Wine environment on Ubuntu, downloading and installing the latest Wine‑based QQ and WeChat packages, and troubleshooting common dependency and launch issues, so Linux users can reliably use these Windows applications.
This article provides a detailed, code‑rich tutorial on using Python’s Selenium WebDriver to log into QQ groups, navigate through iframes, switch windows, and extract member information such as QQ name, number, gender, and join time, with complete scripts for data export to JSON and CSV.
This article chronicles QQ’s journey from its 1999 OICQ debut to the 2018 version, highlighting monthly active user trends, key feature releases, product‑management insights, and how the platform continuously refined online communication to stay relevant.
This article details Mobile QQ's rapid growth, analyzes network fault cases in China and Hong Kong, describes the evolution of its backend architecture from single to three‑center deployment, and explains global intelligent scheduling and mobile‑side optimizations that dramatically improve latency and reliability.
This article details how Tencent's Mobile QQ grew from a half‑million online users to over 180 million by optimizing network access, evolving backend architecture from a single‑center to a three‑center design, and deploying a real‑time global smart‑scheduling system that reduces packet loss and login latency for both domestic and overseas users.
This guide explains how to use a packet capture tool to monitor the QQ process, filter UDP traffic, and retrieve a friend’s IP address, including step‑by‑step instructions, screenshots, and tips for distinguishing public and private IP ranges.
This article explains how third‑party iOS apps can adopt SiriKit to enable voice‑controlled messaging and calling, using QQ’s implementation as a detailed example, and walks through the required Intents and UI extensions, configuration, and handling logic.
