Last year, China saw a boom in foundation models, the do-everything large language models that underpin the AI revolution. This year, the focus has shifted to AI agents—systems that are less about responding to users’ queries and more about autonomously accomplishing things for them.  There are now a host of Chinese startups building these general-purpose digital tools, which can answer emails, browse the internet to plan vacations, and even design an interactive website. Many of these have emerged in just the last two months, following in the footsteps of Manus—a general AI agent that sparked weeks of social media frenzy for invite codes after its limited-release launch in early March.  These emerging AI agents aren’t large language models themselves. Instead, they’re built on top of them, using a workflow-based structure designed to get things done. A lot of these systems also introduce a different way of interacting with AI. Rather than just chatting back and forth with users, they are optimized for managing and executing multistep tasks—booking flights, managing schedules, conducting research—by using external tools and remembering instructions.  China could take the lead on building these kinds of agents. The country’s tightly integrated app ecosystems, rapid product cycles, and digitally fluent user base could provide a favorable environment for embedding AI into daily life.  For now, its leading AI agent startups are focusing their attention on the global market, because the best Western models don’t operate inside China’s firewalls. But that could change soon: Tech giants like ByteDance and Tencent are preparing their own AI agents that could bake automation directly into their native super-apps, pulling data from their vast ecosystem of programs that dominate many aspects of daily life in the country.  As the race to define what a useful AI agent looks like unfolds, a mix of ambitious startups and entrenched tech giants are now testing how these tools might actually work in practice—and for whom. Set the standard It’s been a whirlwind few months for Manus, which was developed by the Wuhan-based startup Butterfly Effect. The company raised $75 million in a funding round led by the US venture capital firm Benchmark, took the product on an ambitious global roadshow, and hired dozens of new employees.  Even before registration opened to the public in May, Manus had become a reference point for what a broad, consumer‑oriented AI agent should accomplish. Rather than handling narrow chores for businesses, this “general” agent is designed to be able to help with everyday tasks like trip planning, stock comparison, or your kid’s school project.  Unlike previous AI agents, Manus uses a browser-based sandbox that lets users supervise the agent like an intern, watching in real time as it scrolls through web pages, reads articles, or codes actions. It also proactively asks clarifying questions, supports long-term memory that would serve as context for future tasks. "Manus represents a promising product experience for AI agents," says Ang Li, cofounder and CEO of Simular, a startup based in Palo Alto, California, that’s building computer use agents, AI agents that control a virtual computer. “I believe Chinese startups have a huge advantage when it comes to designing consumer products, thanks to cutthroat domestic competition that leads to fast execution and greater attention to product details.” In the case of Manus, the competition is moving fast. Two of the most buzzy follow‑ups, Genspark and Flowith, for example, are already boasting benchmark scores that match or edge past Manus’s.  Genspark, led by former Baidu executives Eric Jing and Kay Zhu, links many small “super agents” through what it calls multi‑component prompting. The agent can switch among several large language models, accepts both images and text, and carries out tasks from making slide decks to placing phone calls. Whereas Manus relies heavily on Browser Use, a popular open-source product that lets agents operate a web browser in a virtual window like a human, Genspark directly integrates with a wide array of tools and APIs. Launched in April, the company says that it already has over 5 million users and over $36 million in yearly revenue. Flowith, the work of a young team that first grabbed public attention in April 2025 at a developer event hosted by the popular social media app Xiaohongshu, takes a different tack. Marketed as an “infinite agent,” it opens on a blank canvas where each question becomes a node on a branching map. Users can backtrack, take new branches, and store results in personal or sharable “knowledge gardens”—a design that feels more like project management software (think Notion) than a typical chat interface. Every inquiry or task builds its own mind-map-like graph, encouraging a more nonlinear and creative interaction with AI. Flowith’s core agent, NEO, runs in the cloud and can perform scheduled tasks like sending emails and compiling files. The founders want the app to be a “knowledge marketbase”, and aims to tap into the social aspect of AI with the aspiration of becoming “the OnlyFans of AI knowledge creators”. What they also share with Manus is the global ambition. Both Genspark and Flowith have stated that their primary focus is the international market. A global address Startups like Manus, Genspark, and Flowith—though founded by Chinese entrepreneurs—could blend seamlessly into the global tech scene and compete effectively abroad. Founders, investors, and analysts that MIT Technology Review has spoken to believe Chinese companies are moving fast, executing well, and quickly coming up with new products.  Money reinforces the pull to launch overseas. Customers there pay more, and there are plenty to go around. “You can price in USD, and with the exchange rate that’s a sevenfold multiplier,” Manus cofounder Xiao Hong quipped on a podcast. “Even if we’re only operating at 10% power because of cultural differences overseas, we’ll still make more than in China.” But creating the same functionality in China is a challenge. Major US AI companies including OpenAI and Anthropic have opted out of mainland China because of geopolitical risks and challenges with regulatory compliance. Their absence initially created a black market as users resorted to VPNs and third-party mirrors to access tools like ChatGPT and Claude. That vacuum has since been filled by a new wave of Chinese chatbots—DeepSeek, Doubao, Kimi—but the appetite for foreign models hasn’t gone away.  Manus, for example, uses Anthropic’s Claude Sonnet—widely considered the top model for agentic tasks. Manus cofounder Zhang Tao has repeatedly praised Claude’s ability to juggle tools, remember contexts, and hold multi‑round conversations—all crucial for turning chatty software into an effective executive assistant. But the company’s use of Sonnet has made its agent functionally unusable inside China without a VPN. If you open Manus from a mainland IP address, you’ll see a notice explaining that the team is “working on integrating Qwen’s model,” a special local version that is built on top of Alibaba’s open-source model.  An engineer overseeing ByteDance’s work on developing an agent, who spoke to MIT Technology Review anonymously to avoid sanction, said that the absence of Claude Sonnet models “limits everything we do in China.” DeepSeek’s open models, he added, still hallucinate too often and lack training on real‑world workflows. Developers we spoke with rank Alibaba’s Qwen series as the best domestic alternative, yet most say that switching to Qwen knocks performance down a notch. Jiaxin Pei, a postdoctoral researcher at Stanford’s Institute for Human‑Centered AI, thinks that gap will close: “Building agentic capabilities in base LLMs has become a key focus for many LLM builders, and once people realize the value of this, it will only be a matter of time." For now, Manus is doubling down on audiences it can already serve. In a written response, the company said its “primary focus is overseas expansion,” noting that new offices in San Francisco, Singapore, and Tokyo have opened in the past month. A super‑app approach Although the concept of AI agents is still relatively new, the consumer-facing AI app market in China is already crowded with major tech players. DeepSeek remains the most widely used, while ByteDance’s Doubao and Moonshot’s Kimi have also become household names. However, most of these apps are still optimized for chat and entertainment rather than task execution. This gap in the local market has pushed China’s big tech firms to roll out their own user-facing agents, though early versions remain uneven in quality and rough around the edges.  ByteDance is testing Coze Space, an AI agent based on its own Doubao model family that lets users toggle between “plan” and “execute” modes, so they can either directly guide the agent’s actions or step back and watch it work autonomously. It connects up to 14 popular apps, including GitHub, Notion, and the company’s own Lark office suite. Early reviews say the tool can feel clunky and has a high failure rate, but it clearly aims to match what Manus offers. Meanwhile, Zhipu AI has released a free agent called AutoGLM Rumination, built on its proprietary ChatGLM models. Shanghai‑based Minimax has launched Minimax Agent. Both products look almost identical to Manus and demo basic tasks such as building a simple website, planning a trip, making a small Flash game, or running quick data analysis. Despite the limited usability of most general AI agents launched within China, big companies have plans to change that. During a May 15 earnings call, Tencent president Liu Zhiping teased an agent that would weave automation directly into China’s most ubiquitous app, WeChat.  Considered the original super-app, WeChat already handles messaging, mobile payments, news, and millions of mini‑programs that act like embedded apps. These programs give Tencent, its developer, access to data from millions of services that pervade everyday life in China, an advantage most competitors can only envy. Historically, China’s consumer internet has splintered into competing walled gardens—share a Taobao link in WeChat and it resolves as plaintext, not a preview card. Unlike the more interoperable Western internet, China’s tech giants have long resisted integration with one another, choosing to wage platform war at the expense of a seamless user experience. But the use of mini‑programs has given WeChat unprecedented reach across services that once resisted interoperability, from gym bookings to grocery orders. An agent able to roam that ecosystem could bypass the integration headaches dogging independent startups. Alibaba, the e-commerce giant behind the Qwen model series, has been a front-runner in China's AI race but has been slower to release consumer-facing products. Even though Qwen was the most downloaded open-source model on Hugging Face in 2024, it didn’t power a dedicated chatbot app until early 2025. In March, Alibaba rebranded its cloud storage and search app Quark into an all-in-one AI search tool. By June, Quark had introduced DeepResearch—a new mode that marks its most agent-like effort to date.  ByteDance and Alibaba did not reply to MIT Technology Review’s request for comments. “Historically, Chinese tech products tend to pursue the all-in-one, super-app approach, and the latest Chinese AI agents reflect just that,” says Li of Simular, who previously worked at Google DeepMind on AI-enabled work automation. “In contrast, AI agents in the US are more focused on serving specific verticals.” Pei, the researcher at Stanford, says that existing tech giants could have a huge advantage in bringing the vision of general AI agents to life—especially those with built-in integration across services. “The customer-facing AI agent market is still very early, with tons of problems like authentication and liability,” he says. “But companies that already operate across a wide range of services have a natural advantage in deploying agents at scale.”

Last year, China saw a boom in foundation models, the do-everything large language models that underpin the AI revolution. This year, the focus has shifted to AI agents—systems that are less about responding to users’ queries and more about autonomously accomplishing things for them.  There are now a host of Chinese startups building these general-purpose digital tools, which can answer emails, browse the internet to plan vacations, and even design an interactive website. Many of these have emerged in just the last two months, following in the footsteps of Manus—a general AI agent that sparked weeks of social media frenzy for invite codes after its limited-release launch in early March.  These emerging AI agents aren’t large language models themselves. Instead, they’re built on top of them, using a workflow-based structure designed to get things done. A lot of these systems also introduce a different way of interacting with AI. Rather than just chatting back and forth with users, they are optimized for managing and executing multistep tasks—booking flights, managing schedules, conducting research—by using external tools and remembering instructions.  China could take the lead on building these kinds of agents. The country’s tightly integrated app ecosystems, rapid product cycles, and digitally fluent user base could provide a favorable environment for embedding AI into daily life.  For now, its leading AI agent startups are focusing their attention on the global market, because the best Western models don’t operate inside China’s firewalls. But that could change soon: Tech giants like ByteDance and Tencent are preparing their own AI agents that could bake automation directly into their native super-apps, pulling data from their vast ecosystem of programs that dominate many aspects of daily life in the country.  As the race to define what a useful AI agent looks like unfolds, a mix of ambitious startups and entrenched tech giants are now testing how these tools might actually work in practice—and for whom. Set the standard It’s been a whirlwind few months for Manus, which was developed by the Wuhan-based startup Butterfly Effect. The company raised $75 million in a funding round led by the US venture capital firm Benchmark, took the product on an ambitious global roadshow, and hired dozens of new employees.  Even before registration opened to the public in May, Manus had become a reference point for what a broad, consumer‑oriented AI agent should accomplish. Rather than handling narrow chores for businesses, this “general” agent is designed to be able to help with everyday tasks like trip planning, stock comparison, or your kid’s school project.  Unlike previous AI agents, Manus uses a browser-based sandbox that lets users supervise the agent like an intern, watching in real time as it scrolls through web pages, reads articles, or codes actions. It also proactively asks clarifying questions, supports long-term memory that would serve as context for future tasks. "Manus represents a promising product experience for AI agents," says Ang Li, cofounder and CEO of Simular, a startup based in Palo Alto, California, that’s building computer use agents, AI agents that control a virtual computer. “I believe Chinese startups have a huge advantage when it comes to designing consumer products, thanks to cutthroat domestic competition that leads to fast execution and greater attention to product details.” In the case of Manus, the competition is moving fast. Two of the most buzzy follow‑ups, Genspark and Flowith, for example, are already boasting benchmark scores that match or edge past Manus’s.  Genspark, led by former Baidu executives Eric Jing and Kay Zhu, links many small “super agents” through what it calls multi‑component prompting. The agent can switch among several large language models, accepts both images and text, and carries out tasks from making slide decks to placing phone calls. Whereas Manus relies heavily on Browser Use, a popular open-source product that lets agents operate a web browser in a virtual window like a human, Genspark directly integrates with a wide array of tools and APIs. Launched in April, the company says that it already has over 5 million users and over $36 million in yearly revenue. Flowith, the work of a young team that first grabbed public attention in April 2025 at a developer event hosted by the popular social media app Xiaohongshu, takes a different tack. Marketed as an “infinite agent,” it opens on a blank canvas where each question becomes a node on a branching map. Users can backtrack, take new branches, and store results in personal or sharable “knowledge gardens”—a design that feels more like project management software (think Notion) than a typical chat interface. Every inquiry or task builds its own mind-map-like graph, encouraging a more nonlinear and creative interaction with AI. Flowith’s core agent, NEO, runs in the cloud and can perform scheduled tasks like sending emails and compiling files. The founders want the app to be a “knowledge marketbase”, and aims to tap into the social aspect of AI with the aspiration of becoming “the OnlyFans of AI knowledge creators”. What they also share with Manus is the global ambition. Both Genspark and Flowith have stated that their primary focus is the international market. A global address Startups like Manus, Genspark, and Flowith—though founded by Chinese entrepreneurs—could blend seamlessly into the global tech scene and compete effectively abroad. Founders, investors, and analysts that MIT Technology Review has spoken to believe Chinese companies are moving fast, executing well, and quickly coming up with new products.  Money reinforces the pull to launch overseas. Customers there pay more, and there are plenty to go around. “You can price in USD, and with the exchange rate that’s a sevenfold multiplier,” Manus cofounder Xiao Hong quipped on a podcast. “Even if we’re only operating at 10% power because of cultural differences overseas, we’ll still make more than in China.” But creating the same functionality in China is a challenge. Major US AI companies including OpenAI and Anthropic have opted out of mainland China because of geopolitical risks and challenges with regulatory compliance. Their absence initially created a black market as users resorted to VPNs and third-party mirrors to access tools like ChatGPT and Claude. That vacuum has since been filled by a new wave of Chinese chatbots—DeepSeek, Doubao, Kimi—but the appetite for foreign models hasn’t gone away.  Manus, for example, uses Anthropic’s Claude Sonnet—widely considered the top model for agentic tasks. Manus cofounder Zhang Tao has repeatedly praised Claude’s ability to juggle tools, remember contexts, and hold multi‑round conversations—all crucial for turning chatty software into an effective executive assistant. But the company’s use of Sonnet has made its agent functionally unusable inside China without a VPN. If you open Manus from a mainland IP address, you’ll see a notice explaining that the team is “working on integrating Qwen’s model,” a special local version that is built on top of Alibaba’s open-source model.  An engineer overseeing ByteDance’s work on developing an agent, who spoke to MIT Technology Review anonymously to avoid sanction, said that the absence of Claude Sonnet models “limits everything we do in China.” DeepSeek’s open models, he added, still hallucinate too often and lack training on real‑world workflows. Developers we spoke with rank Alibaba’s Qwen series as the best domestic alternative, yet most say that switching to Qwen knocks performance down a notch. Jiaxin Pei, a postdoctoral researcher at Stanford’s Institute for Human‑Centered AI, thinks that gap will close: “Building agentic capabilities in base LLMs has become a key focus for many LLM builders, and once people realize the value of this, it will only be a matter of time." For now, Manus is doubling down on audiences it can already serve. In a written response, the company said its “primary focus is overseas expansion,” noting that new offices in San Francisco, Singapore, and Tokyo have opened in the past month. A super‑app approach Although the concept of AI agents is still relatively new, the consumer-facing AI app market in China is already crowded with major tech players. DeepSeek remains the most widely used, while ByteDance’s Doubao and Moonshot’s Kimi have also become household names. However, most of these apps are still optimized for chat and entertainment rather than task execution. This gap in the local market has pushed China’s big tech firms to roll out their own user-facing agents, though early versions remain uneven in quality and rough around the edges.  ByteDance is testing Coze Space, an AI agent based on its own Doubao model family that lets users toggle between “plan” and “execute” modes, so they can either directly guide the agent’s actions or step back and watch it work autonomously. It connects up to 14 popular apps, including GitHub, Notion, and the company’s own Lark office suite. Early reviews say the tool can feel clunky and has a high failure rate, but it clearly aims to match what Manus offers. Meanwhile, Zhipu AI has released a free agent called AutoGLM Rumination, built on its proprietary ChatGLM models. Shanghai‑based Minimax has launched Minimax Agent. Both products look almost identical to Manus and demo basic tasks such as building a simple website, planning a trip, making a small Flash game, or running quick data analysis. Despite the limited usability of most general AI agents launched within China, big companies have plans to change that. During a May 15 earnings call, Tencent president Liu Zhiping teased an agent that would weave automation directly into China’s most ubiquitous app, WeChat.  Considered the original super-app, WeChat already handles messaging, mobile payments, news, and millions of mini‑programs that act like embedded apps. These programs give Tencent, its developer, access to data from millions of services that pervade everyday life in China, an advantage most competitors can only envy. Historically, China’s consumer internet has splintered into competing walled gardens—share a Taobao link in WeChat and it resolves as plaintext, not a preview card. Unlike the more interoperable Western internet, China’s tech giants have long resisted integration with one another, choosing to wage platform war at the expense of a seamless user experience. But the use of mini‑programs has given WeChat unprecedented reach across services that once resisted interoperability, from gym bookings to grocery orders. An agent able to roam that ecosystem could bypass the integration headaches dogging independent startups. Alibaba, the e-commerce giant behind the Qwen model series, has been a front-runner in China's AI race but has been slower to release consumer-facing products. Even though Qwen was the most downloaded open-source model on Hugging Face in 2024, it didn’t power a dedicated chatbot app until early 2025. In March, Alibaba rebranded its cloud storage and search app Quark into an all-in-one AI search tool. By June, Quark had introduced DeepResearch—a new mode that marks its most agent-like effort to date.  ByteDance and Alibaba did not reply to MIT Technology Review’s request for comments. “Historically, Chinese tech products tend to pursue the all-in-one, super-app approach, and the latest Chinese AI agents reflect just that,” says Li of Simular, who previously worked at Google DeepMind on AI-enabled work automation. “In contrast, AI agents in the US are more focused on serving specific verticals.” Pei, the researcher at Stanford, says that existing tech giants could have a huge advantage in bringing the vision of general AI agents to life—especially those with built-in integration across services. “The customer-facing AI agent market is still very early, with tons of problems like authentication and liability,” he says. “But companies that already operate across a wide range of services have a natural advantage in deploying agents at scale.”

Cybersecurity researchers have flagged several popular Google Chrome extensions that have been found to transmit data in HTTP and hard-code secrets in their code, exposing users to privacy and security risks. "Several widely used extensions [...] unintentionally transmit sensitive data over simple HTTP," Yuanjing Guo, a security researcher in the Symantec's Security Technology and Response team, said. "By doing so, they expose browsing domains, machine IDs, operating system details, usage analytics, and even uninstall information, in plaintext." The fact that the network traffic is unencrypted also means that they are susceptible to adversary-in-the-middle (AitM) attacks, allowing malicious actors on the same network such as a public Wi-Fi to intercept and, even worse, modify this data, which could lead to far more serious consequences. The list of identified extensions are below - SEMRush Rank (extension ID: idbhoeaiokcojcgappfigpifhpkjgmab) and PI Rank (ID: ccgdboldgdlngcgfdolahmiilojmfndl), which call the URL "rank.trellian[.]com" over plain HTTP Browsec VPN (ID: omghfjlpggmjjaagoclmmobgdodcjboh), which uses HTTP to call an uninstall URL at "browsec-uninstall.s3-website.eu-central-1.amazonaws[.]com" when a user attempts to uninstall the extension MSN New Tab (ID: lklfbkdigihjaaeamncibechhgalldgl) and MSN Homepage, Bing Search & News (ID: midiombanaceofjhodpdibeppmnamfcj), which transmit a unique machine identifier and other details over HTTP to "g.ceipmsn[.]com" DualSafe Password Manager & Digital Vault (ID: lgbjhdkjmpgjgcbcdlhkokkckpjmedgc), which constructs an HTTP-based URL request to "stats.itopupdate[.]com" along with information about the extension version, user's browser language, and usage "type" "Although credentials or passwords do not appear to be leaked, the fact that a password manager uses unencrypted requests for telemetry erodes trust in its overall security posture," Guo said. Symantec said it also identified another set of extensions with API keys, secrets, and tokens directly embedded in the JavaScript code, which an attacker could weaponize to craft malicious requests and carry out various malicious actions - Online Security & Privacy extension (ID: gomekmidlodglbbmalcneegieacbdmki), AVG Online Security (ID: nbmoafcmbajniiapeidgficgifbfmjfo), Speed Dial [FVD] - New Tab Page, 3D, Sync (ID: llaficoajjainaijghjlofdfmbjpebpa), and SellerSprite - Amazon Research Tool (ID: lnbmbgocenenhhhdojdielgnmeflbnfb), which expose a hard-coded Google Analytics 4 (GA4) API secret that an attacker could use to bombard the GA4 endpoint and corrupt metrics Equatio – Math Made Digital (ID: hjngolefdpdnooamgdldlkjgmdcmcjnc), which embeds a Microsoft Azure API key used for speech recognition that an attacker could use to inflate the developer's costs or exhaust their usage limits Awesome Screen Recorder & Screenshot (ID: nlipoenfbbikpbjkfpfillcgkoblgpmj) and Scrolling Screenshot Tool & Screen Capture (ID: mfpiaehgjbbfednooihadalhehabhcjo), which expose the developer's Amazon Web Services (AWS) access key used to upload screenshots to the developer's S3 bucket Microsoft Editor – Spelling & Grammar Checker (ID: gpaiobkfhnonedkhhfjpmhdalgeoebfa), which exposes a telemetry key named "StatsApiKey" to log user data for analytics Antidote Connector (ID: lmbopdiikkamfphhgcckcjhojnokgfeo), which incorporates a third-party library called InboxSDK that contains hard-coded credentials, including API keys. Watch2Gether (ID: cimpffimgeipdhnhjohpbehjkcdpjolg), which exposes a Tenor GIF search API key Trust Wallet (ID: egjidjbpglichdcondbcbdnbeeppgdph), which exposes an API key associated with the Ramp Network, a Web3 platform that offers wallet developers a way to let users buy or sell crypto directly from the app TravelArrow – Your Virtual Travel Agent (ID: coplmfnphahpcknbchcehdikbdieognn), which exposes a geolocation API key when making queries to "ip-api[.]com" Attackers who end up finding these keys could weaponize them to drive up API costs, host illegal content, send spoofed telemetry data, and mimic cryptocurrency transaction orders, some of which could see the developer's ban getting banned. Adding to the concern, Antidote Connector is just one of over 90 extensions that use InboxSDK, meaning the other extensions are susceptible to the same problem. The names of the other extensions were not disclosed by Symantec. "From GA4 analytics secrets to Azure speech keys, and from AWS S3 credentials to Google-specific tokens, each of these snippets demonstrates how a few lines of code can jeopardize an entire service," Guo said. "The solution: never store sensitive credentials on the client side." Developers are recommended to switch to HTTPS whenever they send or receive data, store credentials securely in a backend server using a credentials management service, and regularly rotate secrets to further minimize risk. The findings show how even popular extensions with hundreds of thousands of installations can suffer from trivial misconfigurations and security blunders like hard-coded credentials, leaving users' data at risk. "Users of these extensions should consider removing them until the developers address the insecure [HTTP] calls," the company said. "The risk is not just theoretical; unencrypted traffic is simple to capture, and the data can be used for profiling, phishing, or other targeted attacks." "The overarching lesson is that a large install base or a well-known brand does not necessarily ensure best practices around encryption. Extensions should be scrutinized for the protocols they use and the data they share, to ensure users' information remains truly safe." Found this article interesting? Follow us on Twitter  and LinkedIn to read more exclusive content we post.

Last year, China saw a boom in foundation models, the do-everything large language models that underpin the AI revolution. This year, the focus has shifted to AI agents—systems that are less about responding to users’ queries and more about autonomously accomplishing things for them.  There are now a host of Chinese startups building these general-purpose digital tools, which can answer emails, browse the internet to plan vacations, and even design an interactive website. Many of these have emerged in just the last two months, following in the footsteps of Manus—a general AI agent that sparked weeks of social media frenzy for invite codes after its limited-release launch in early March.  These emerging AI agents aren’t large language models themselves. Instead, they’re built on top of them, using a workflow-based structure designed to get things done. A lot of these systems also introduce a different way of interacting with AI. Rather than just chatting back and forth with users, they are optimized for managing and executing multistep tasks—booking flights, managing schedules, conducting research—by using external tools and remembering instructions.  China could take the lead on building these kinds of agents. The country’s tightly integrated app ecosystems, rapid product cycles, and digitally fluent user base could provide a favorable environment for embedding AI into daily life.  For now, its leading AI agent startups are focusing their attention on the global market, because the best Western models don’t operate inside China’s firewalls. But that could change soon: Tech giants like ByteDance and Tencent are preparing their own AI agents that could bake automation directly into their native super-apps, pulling data from their vast ecosystem of programs that dominate many aspects of daily life in the country.  As the race to define what a useful AI agent looks like unfolds, a mix of ambitious startups and entrenched tech giants are now testing how these tools might actually work in practice—and for whom. Set the standard It’s been a whirlwind few months for Manus, which was developed by the Wuhan-based startup Butterfly Effect. The company raised $75 million in a funding round led by the US venture capital firm Benchmark, took the product on an ambitious global roadshow, and hired dozens of new employees.  Even before registration opened to the public in May, Manus had become a reference point for what a broad, consumer‑oriented AI agent should accomplish. Rather than handling narrow chores for businesses, this “general” agent is designed to be able to help with everyday tasks like trip planning, stock comparison, or your kid’s school project.  Unlike previous AI agents, Manus uses a browser-based sandbox that lets users supervise the agent like an intern, watching in real time as it scrolls through web pages, reads articles, or codes actions. It also proactively asks clarifying questions, supports long-term memory that would serve as context for future tasks. “Manus represents a promising product experience for AI agents,” says Ang Li, cofounder and CEO of Simular, a startup based in Palo Alto, California, that’s building computer use agents, AI agents that control a virtual computer. “I believe Chinese startups have a huge advantage when it comes to designing consumer products, thanks to cutthroat domestic competition that leads to fast execution and greater attention to product details.” In the case of Manus, the competition is moving fast. Two of the most buzzy follow‑ups, Genspark and Flowith, for example, are already boasting benchmark scores that match or edge past Manus’s.  Genspark, led by former Baidu executives Eric Jing and Kay Zhu, links many small “super agents” through what it calls multi‑component prompting. The agent can switch among several large language models, accepts both images and text, and carries out tasks from making slide decks to placing phone calls. Whereas Manus relies heavily on Browser Use, a popular open-source product that lets agents operate a web browser in a virtual window like a human, Genspark directly integrates with a wide array of tools and APIs. Launched in April, the company says that it already has over 5 million users and over $36 million in yearly revenue. Flowith, the work of a young team that first grabbed public attention in April 2025 at a developer event hosted by the popular social media app Xiaohongshu, takes a different tack. Marketed as an “infinite agent,” it opens on a blank canvas where each question becomes a node on a branching map. Users can backtrack, take new branches, and store results in personal or sharable “knowledge gardens”—a design that feels more like project management software (think Notion) than a typical chat interface. Every inquiry or task builds its own mind-map-like graph, encouraging a more nonlinear and creative interaction with AI. Flowith’s core agent, NEO, runs in the cloud and can perform scheduled tasks like sending emails and compiling files. The founders want the app to be a “knowledge marketbase”, and aims to tap into the social aspect of AI with the aspiration of becoming “the OnlyFans of AI knowledge creators”. What they also share with Manus is the global ambition. Both Genspark and Flowith have stated that their primary focus is the international market. A global address Startups like Manus, Genspark, and Flowith—though founded by Chinese entrepreneurs—could blend seamlessly into the global tech scene and compete effectively abroad. Founders, investors, and analysts that MIT Technology Review has spoken to believe Chinese companies are moving fast, executing well, and quickly coming up with new products.  Money reinforces the pull to launch overseas. Customers there pay more, and there are plenty to go around. “You can price in USD, and with the exchange rate that’s a sevenfold multiplier,” Manus cofounder Xiao Hong quipped on a podcast. “Even if we’re only operating at 10% power because of cultural differences overseas, we’ll still make more than in China.” But creating the same functionality in China is a challenge. Major US AI companies including OpenAI and Anthropic have opted out of mainland China because of geopolitical risks and challenges with regulatory compliance. Their absence initially created a black market as users resorted to VPNs and third-party mirrors to access tools like ChatGPT and Claude. That vacuum has since been filled by a new wave of Chinese chatbots—DeepSeek, Doubao, Kimi—but the appetite for foreign models hasn’t gone away.  Manus, for example, uses Anthropic’s Claude Sonnet—widely considered the top model for agentic tasks. Manus cofounder Zhang Tao has repeatedly praised Claude’s ability to juggle tools, remember contexts, and hold multi‑round conversations—all crucial for turning chatty software into an effective executive assistant. But the company’s use of Sonnet has made its agent functionally unusable inside China without a VPN. If you open Manus from a mainland IP address, you’ll see a notice explaining that the team is “working on integrating Qwen’s model,” a special local version that is built on top of Alibaba’s open-source model.  An engineer overseeing ByteDance’s work on developing an agent, who spoke to MIT Technology Review anonymously to avoid sanction, said that the absence of Claude Sonnet models “limits everything we do in China.” DeepSeek’s open models, he added, still hallucinate too often and lack training on real‑world workflows. Developers we spoke with rank Alibaba’s Qwen series as the best domestic alternative, yet most say that switching to Qwen knocks performance down a notch. Jiaxin Pei, a postdoctoral researcher at Stanford’s Institute for Human‑Centered AI, thinks that gap will close: “Building agentic capabilities in base LLMs has become a key focus for many LLM builders, and once people realize the value of this, it will only be a matter of time.” For now, Manus is doubling down on audiences it can already serve. In a written response, the company said its “primary focus is overseas expansion,” noting that new offices in San Francisco, Singapore, and Tokyo have opened in the past month. A super‑app approach Although the concept of AI agents is still relatively new, the consumer-facing AI app market in China is already crowded with major tech players. DeepSeek remains the most widely used, while ByteDance’s Doubao and Moonshot’s Kimi have also become household names. However, most of these apps are still optimized for chat and entertainment rather than task execution. This gap in the local market has pushed China’s big tech firms to roll out their own user-facing agents, though early versions remain uneven in quality and rough around the edges.  ByteDance is testing Coze Space, an AI agent based on its own Doubao model family that lets users toggle between “plan” and “execute” modes, so they can either directly guide the agent’s actions or step back and watch it work autonomously. It connects up to 14 popular apps, including GitHub, Notion, and the company’s own Lark office suite. Early reviews say the tool can feel clunky and has a high failure rate, but it clearly aims to match what Manus offers. Meanwhile, Zhipu AI has released a free agent called AutoGLM Rumination, built on its proprietary ChatGLM models. Shanghai‑based Minimax has launched Minimax Agent. Both products look almost identical to Manus and demo basic tasks such as building a simple website, planning a trip, making a small Flash game, or running quick data analysis. Despite the limited usability of most general AI agents launched within China, big companies have plans to change that. During a May 15 earnings call, Tencent president Liu Zhiping teased an agent that would weave automation directly into China’s most ubiquitous app, WeChat.  Considered the original super-app, WeChat already handles messaging, mobile payments, news, and millions of mini‑programs that act like embedded apps. These programs give Tencent, its developer, access to data from millions of services that pervade everyday life in China, an advantage most competitors can only envy. Historically, China’s consumer internet has splintered into competing walled gardens—share a Taobao link in WeChat and it resolves as plaintext, not a preview card. Unlike the more interoperable Western internet, China’s tech giants have long resisted integration with one another, choosing to wage platform war at the expense of a seamless user experience. But the use of mini‑programs has given WeChat unprecedented reach across services that once resisted interoperability, from gym bookings to grocery orders. An agent able to roam that ecosystem could bypass the integration headaches dogging independent startups. Alibaba, the e-commerce giant behind the Qwen model series, has been a front-runner in China’s AI race but has been slower to release consumer-facing products. Even though Qwen was the most downloaded open-source model on Hugging Face in 2024, it didn’t power a dedicated chatbot app until early 2025. In March, Alibaba rebranded its cloud storage and search app Quark into an all-in-one AI search tool. By June, Quark had introduced DeepResearch—a new mode that marks its most agent-like effort to date.  ByteDance and Alibaba did not reply to MIT Technology Review’s request for comments. “Historically, Chinese tech products tend to pursue the all-in-one, super-app approach, and the latest Chinese AI agents reflect just that,” says Li of Simular, who previously worked at Google DeepMind on AI-enabled work automation. “In contrast, AI agents in the US are more focused on serving specific verticals.” Pei, the researcher at Stanford, says that existing tech giants could have a huge advantage in bringing the vision of general AI agents to life—especially those with built-in integration across services. “The customer-facing AI agent market is still very early, with tons of problems like authentication and liability,” he says. “But companies that already operate across a wide range of services have a natural advantage in deploying agents at scale.”

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Key Takeaways New EU rules take effect June 20, 2025, requiring mobile phones and tablets to be easier and cheaper to repair, including mandatory access to spare parts for up to seven years. Devices must meet durability standards, such as resistance to drops, water, and dust, and batteries must retain 80% capacity after 800 cycles. Manufacturers must offer 5 years of software updates and grant repair professionals access to firmware and repair tools to ensure long-term device usability. Energy consumption is expected to drop, with households projected to save €98 over five years due to longer-lasting, more repairable devices. In a win for the right to repair, the European Union (EU) has released its new energy labeling and ecodesign requirements for mobile phones, tablets, and even cordless phones.  Once implemented, this would help extend the product lifetime of these devices by making them cheaper and easier to repair. Up Ahead: Long-Lasting and Easy-to-Repair Devices The new ecodesign and energy labeling regulations will apply to devices sold in the EU effective June 20, 2025. One key area is the availability of spare parts. Once the regulations take effect, critical spare parts for a device must remain available for seven years from the last day the producer stops selling it. These parts must also be available to repairers within 5–10 working days. Mobile phones, cordless phones, and tablets under the ecodesign regulations must also be resistant to scratches and accidental drops, and be protected from dust and water.  The EU also specified that batteries must withstand at least 800 charge and discharge cycles while holding 80% of their initial capacity. These measures could help ensure devices last longer, thus reducing the need to replace them and lowering their cost of ownership. The requirements go beyond just the hardware. On the software side, manufacturers must also provide at least 5 years of operating system upgrades and give professional repairers access to software or firmware.  These would allow devices to continue to run smoothly and protect them from security vulnerabilities. On top of the ecodesign requirements, the EU also specified energy labeling requirements on the applicable devices. The labels would provide information about the device’s repairability score, energy efficiency, battery longevity, dust and water protection, and resistance to accidental drops. Having clear and easy-to-understand labels can help consumers in the EU make better choices when buying phones and tablets. They’ll know at a glance whether a device can withstand drops or if the batteries will remain reliable for as long as possible. The Projected Impact of the Ecodesign and Energy Labeling Requirements With the new requirements, the EU expects a significant reduction in the energy consumption of the applicable devices. Regarding charging time, this should go down from 2.5 to 1.75 hours per day.  Also, the annual electrical consumption of high-end smartphones is projected to decrease by 25%, while it’s 23% for tablets by 2030. Making devices easier to repair is also seen to reduce the acquisition costs of devices by € 98 per household in five years. A Win for the Right to Repair, But Obstacles Lie Ahead While the EU has already made significant progress in the area of the right to repair, many countries remain well behind. In the US, for instance, only a handful of states like California and Colorado have already enacted right-to-repair laws, while most of the country has yet to catch up. Without laws like these, most manufacturers won’t have the incentive to make their devices easier to repair.  A quick look at iFixit’s smartphone repairability scores shows that only Fairphone, which scored a perfect 10, HMD (9), and Nokia (8) had high scores among current phones. At the same time, Apple’s iPhone 16 line received a respectable 7. The Fairphone 5, launched in 2023, is especially notable for its repairability. According to iFixit, it’s easy to disassemble with common tools, the battery can be replaced quickly, and manuals and replacement parts are available to DIYers. As for the others, Ifixit gave Google’s Pixel 9 series a 5 for making it difficult to remove the battery and the USB-C port and requiring a replacement adhesive to secure the screen or back glass instead of using clips or fasteners. Meanwhile, the Samsung Galaxy S23 Ultra received a 4 because the battery is attached with a strong adhesive, and repairing the screen needs a lot of disassembly. All in all, we remain hopeful that with the EU’s lead, manufacturers can finally be encouraged to make repairing their devices easier than ever before. As technology continues to evolve—from the return of 'dumbphones' to faster and sleeker computers—seasoned tech journalist, Cedric Solidon, continues to dedicate himself to writing stories that inform, empower, and connect with readers across all levels of digital literacy. With 20 years of professional writing experience, this University of the Philippines Journalism graduate has carved out a niche as a trusted voice in tech media. Whether he's breaking down the latest advancements in cybersecurity or explaining how silicon-carbon batteries can extend your phone’s battery life, his writing remains rooted in clarity, curiosity, and utility. Long before he was writing for Techreport, HP, Citrix, SAP, Globe Telecom, CyberGhost VPN, and ExpressVPN, Cedric's love for technology began at home courtesy of a Nintendo Family Computer and a stack of tech magazines. Growing up, his days were often filled with sessions of Contra, Bomberman, Red Alert 2, and the criminally underrated Crusader: No Regret. But gaming wasn't his only gateway to tech.  He devoured every T3, PCMag, and PC Gamer issue he could get his hands on, often reading them cover to cover. It wasn’t long before he explored the early web in IRC chatrooms, online forums, and fledgling tech blogs, soaking in every byte of knowledge from the late '90s and early 2000s internet boom. That fascination with tech didn’t just stick. It evolved into a full-blown calling. After graduating with a degree in Journalism, he began his writing career at the dawn of Web 2.0. What started with small editorial roles and freelance gigs soon grew into a full-fledged career. He has since collaborated with global tech leaders, lending his voice to content that bridges technical expertise with everyday usability. He’s also written annual reports for Globe Telecom and consumer-friendly guides for VPN companies like CyberGhost and ExpressVPN, empowering readers to understand the importance of digital privacy. His versatility spans not just tech journalism but also technical writing. He once worked with a local tech company developing web and mobile apps for logistics firms, crafting documentation and communication materials that brought together user-friendliness with deep technical understanding. That experience sharpened his ability to break down dense, often jargon-heavy material into content that speaks clearly to both developers and decision-makers. At the heart of his work lies a simple belief: technology should feel empowering, not intimidating. Even if the likes of smartphones and AI are now commonplace, he understands that there's still a knowledge gap, especially when it comes to hardware or the real-world benefits of new tools. His writing hopes to help close that gap. Cedric’s writing style reflects that mission. It’s friendly without being fluffy and informative without being overwhelming. Whether writing for seasoned IT professionals or casual readers curious about the latest gadgets, he focuses on how a piece of technology can improve our lives, boost our productivity, or make our work more efficient. That human-first approach makes his content feel more like a conversation than a technical manual. As his writing career progresses, his passion for tech journalism remains as strong as ever. With the growing need for accessible, responsible tech communication, he sees his role not just as a journalist but as a guide who helps readers navigate a digital world that’s often as confusing as it is exciting. From reviewing the latest devices to unpacking global tech trends, Cedric isn’t just reporting on the future; he’s helping to write it. View all articles by Cedric Solidon Our editorial process The Tech Report editorial policy is centered on providing helpful, accurate content that offers real value to our readers. We only work with experienced writers who have specific knowledge in the topics they cover, including latest developments in technology, online privacy, cryptocurrencies, software, and more. Our editorial policy ensures that each topic is researched and curated by our in-house editors. We maintain rigorous journalistic standards, and every article is 100% written by real authors.

The French Open is one of the most exciting Grand Slams—especially with this year’s lineup. Djokovic, Alcaraz, and Sinner—just those names alone promise a show. Even better, there’s a way to watch the French Open live on a free channel, so you won’t miss a single moment. In this guide, we’ll highlight two free channels for streaming Roland Garros and explain how to access them from anywhere in the world. We’ll also include a few premium streaming services from the UK, Canada, and the US that broadcast the event. Schedule May 25 to June 8 Free channels 9now (Australia) / France TV (France) The schedule for Thursday, June 5 This Thursday at Roland-Garros, we’ll be treated to the two women’s singles semifinals. Here is the detailed schedule: [1] Aryna Sabalenka vs [5] Iga Swiatek (POL) – Not before 3:00 PM CET / 9:00 AM ET / 6:00 AM PST [2] Coco Gauff (USA) vs [WC] Lois Boisson (FRA) Which free channels are broadcasting the French Open live? Reigning and upcoming champs will battle it out on the clay-filled courts and honor us with some epic showdowns. As exciting as it sounds, it doesn’t have to cost a penny. Two free channels broadcast the French Open 2025: 9Now (Australian TV channel) France TV (French TV channel) If you’re in one of these countries, you know you can boot them up and start watching. However, as these are foreign channels for many of you, it’s good to know what they actually provide. 9Now broadcasts the best French Open 2025 matches online for free every day. You’ll need a free account, which takes less than a minute to create. 9Now also offers English commentary, making it a great option for English-speaking viewers. 9Now broadcasts the French Open for free © 9now.com.au France TV is a French channel, so naturally, it features French commentary. It broadcasts all matches (you can follow the action on every court) except for the night sessions. The night sessions refer to the matches played on the Central Court after 8:15 PM Paris time. This TV channel also requires a free account, but again, creating one takes a minute or two, as you can sign up without a TV license. The main gripe with these two is that they’re region-locked to their respective regions. 9Now works only in Australia, whilst France TV works only in France. Trick to Watch the French Open 2025 on a Free Channel from Anywhere To sidestep this inconvenience, people have been relying on VPNs for years. Watching the French Open for free online was never an issue with a popular option like NordVPN. You’ve likely heard of it by this point. Watch the tournament for free with NordVPN As the world’s #1 provider by popularity (and quality), NordVPN provides quintessential servers in Australia and France. It’s also equipped with unrestricted bandwidth and fast 10 Gbps server ports built for speed. The main advantage of NordVPN, according to people online, is compatibility. It works on all desktop and mobile devices, but its VPN app for Fire TV and Apple TV is also there. This makes it easy to watch Roland Garros live for free on your TV. NordVPN allows for a swift IP address change. Once your IP originates from another country, you can overcome stubborn geo-blocks and access new content. Simply put, you’ll need an IP from Australia or France to unblock 9Now or France TV. With NordVPN installed, you just need to connect to a server in the respective country, go to the free channel that streams the French Open 2025, and enjoy. Keep in mind that NordVPN isn’t free, but in this case, it can be. After all, there’s a 30-day money-back guarantee. In this period, you can stream the entire Grand Slam and still have ample time left to request and get a full refund. If necessary, we have a tutorial that explains how to test NordVPN free of charge for 30 days. How to Stream the French Open Live in the USA Even in the USA, using the two free channels is a more sensible option. That’s because US-based streaming services are costly. Still, if you don’t want to mess around with VPNs, you can opt for one of these three: Sling TV (TNT) — at least $45.99/mo (Sling Orange or Blue) DirecTV (TNT) — at least $79.99/mo + $69.99/mo for MySports HBO Max — at least $17/mo Sling TV provides access to TNT where the stream will be available — Blue and Orange plans are both eligible. You’ll find that Orange also contains ESPN. DirecTV requires a $69.99/mo MySports package for this purpose. It includes TNT and ESPN Plus for free if you wish to stream other sports. You don’t have to have an eagle eye to see the prices. Sling TV and DirecTV are way out of many people’s budgets. Plus, they don’t have lengthy free trials that would allow you to watch the French Open for free. DirecTV has a risk-free 5-day trial, but that’s roughly a third of the event. Bear in mind that, even if you have an account with one of these three, you still won’t be able to access them abroad. HBO Max can be watched outside the USA, along with DirecTV and Sling TV, but with a caveat — you’ll need a VPN! Watch the French Open With NordVPN Watching Roland Garros 2025 in the UK Brits don’t have a vibrant selection of channels for this case. They do lack horses for the race, but there’s Discovery Plus that comes to the rescue. Unfortunately, Discovery Plus is no joke price-wise and costs £31/mo in the United Kingdom. A notable free trial is missing, as well. Once you spend your £31, you won’t be able to get it back, either. On top of that, Discovery Plus works abroad only with a VPN, even if you have an active subscription paid for regularly. It’s worth noting that Discovery Plus also provides access to Eurosport, which will broadcast the French Grand Slam for the rest of Europe. Eurosport also isn’t free and costs £3.99 for Discovery Plus subscribers. How to Watch Roland Garros Live in Canada Canadians, similarly to Brits, don’t have plenty of choices — TSN is once again there to quench their tennis thirst. Of course, at a price. TSN is relatively inexpensive, so it might be a good option if you’re in Canada. The subscription starts at $8/mo or $80/year if you pay upfront. Like 9Now and Discovery Plus, TSN provides Full HD coverage and includes English commentary for better immersion. Just bear in mind that TSN is Canada-exclusive, so being on vacation rids you of access to it. NordVPN can help you regain access risk-free if you so desire. Other than that, TSN doesn’t provide a free trial and won’t allow you to sign up as a new user without a Canadian payment method. As explained, TSN is adequate only for native Canadian tennis fans. Final Thoughts Your vacation or business trip doesn’t have to squander your plans to watch the French Open 2025 on a free channel. 9Now and France TV are there, and with risk-free NordVPN, you’ll catch up to all major matches with no issues. If you’d rather use premium platforms and don’t mind the price tag, so be it. You have a myriad of options in the US, the UK, and Canada. Sling TV, DirecTV, HBO Max, Discovery Plus, and TSN — six excellent premium channels. Try NordVPN Risk-Free for 30 days