Moonshot AI Launches Kimi WebBridge Plugin: AI Agent Controls Browser Locally, Data Never Leaves the Device

Chinese AI company Moonshot AI has officially released a browser plugin called Kimi WebBridge, enabling AI agents to perform actions like clicking, scrolling, typing, and extracting information in a browser just as a real user would—with all data processed locally on the device without uploading to the cloud.
Moonshot AI announced on May 15 that Kimi WebBridge is now available on the Chrome Web Store and the Kimi official website. The plugin is designed for mainstream AI coding and agent tools including Kimi Code, Claude Code, Cursor, Codex, and Hermes Agent, aiming to automate a wide range of repetitive, tedious web-based tasks.
Unlike traditional browser automation solutions reliant on cloud infrastructure, Kimi WebBridge's core differentiator is its local-first architecture. According to Yahoo Finance, the plugin pairs a local backend service with a browser extension, with the AI agent communicating with the local service via the Chrome DevTools Protocol—the low-level interface developers use for debugging. This means users' login states, cookies, bank account information, internal corporate tools, and other sensitive data remain entirely on their own devices, with Moonshot AI unable to access any page content.
Moonshot AI's official description notes that from the target website's perspective, Kimi WebBridge operations are indistinguishable from the user personally performing them. When the plugin is running, it marks the browser tab being operated on but does not occupy the user's mouse and keyboard, allowing normal computer use to continue.
In terms of application scenarios, Kimi WebBridge covers two major areas: information organization and complex workflow automation. For instance, a user could ask the AI agent to automatically collect promotional materials from multiple note-taking app stores, analyze design style differences, and write findings into an online document. In quantitative research, it can take over a simulation platform with a single command, automatically scrape financial data, execute multi-strategy iterative backtesting, and draft quantitative research reports. More everyday tasks include: having the agent search Amazon for mechanical keyboards under $150 with ratings above 4.5 stars and generate a ranked comparison, or scan LinkedIn job postings across multiple search criteria and compile them into a spreadsheet.
For highly standardized repetitive tasks, Moonshot AI offers an advanced feature: users can create a dedicated CLI tool that consumes no large-model tokens, install it into their local system, and subsequently invoke the tool directly to execute tasks without going through the AI exploration and training process each time.
Kimi WebBridge is powered by Moonshot AI's self-developed Kimi model family. Released in July 2025, Kimi K2 is a mixture-of-experts model with one trillion parameters, ranking first among open-source models and fifth overall on the LMSYS Arena leaderboard. The latest version, K2.6, launched in April 2026, achieved a score of 58.6% on the SWE-Bench Pro benchmark, which measures a model's software engineering capability on real GitHub issues. This performance surpasses GPT-5.4 at 57.7% and Claude Opus 4.6 at 53.4%. Moonshot AI stated that K2.6 supports up to 300 parallel sub-agents executing simultaneously, coordinating 4,000 steps—precisely the architectural capability WebBridge relies on when handling complex, multi-step browser tasks.
The technical prowess of Kimi models gained unexpected international attention during an industry incident in March this year. On March 19, Cursor, a coding AI startup valued at $50 billion, released its Composer 2 model, touting it as "frontier-level proprietary coding intelligence" built through "continuous pre-training" and reinforcement learning. Within 24 hours, however, developer Fynn intercepted API traffic and discovered the model identifier was kimi-k2p5-rl-0317-s515-fast. Elon Musk promptly commented on social media: "Yep, it's Kimi 2.5." Moonshot AI's pre-training lead ran a tokenizer analysis and confirmed an exact match. Cursor's VP of Developer Education, Lee Robinson, acknowledged within hours that they had used an open-source base model, stating roughly 75% of compute resources went into Cursor's own training pipeline; co-founder Aman Sanger characterized the failure to credit the base model as "a mistake from the beginning." Moonshot AI maintained restraint, merely issuing an official congratulations to Cursor.
The browser automation space is growing increasingly crowded. Anthropic's Computer Use feature allows Claude to operate desktop environments; OpenAI's Operator and ChatGPT Atlas achieve similar functionality through managed cloud services; Google has agent experimentation projects based on DeepMind; and Perplexity has launched the Comet Browser.
The Kimi WebBridge installation process involves three steps: first, download the Kimi desktop application (available for Mac directly; Windows users need to run an installation script via PowerShell); second, install the browser extension from the Chrome Web Store; third, find Kimi Claw in the Kimi desktop app sidebar, add a new Claw, and select "On my computer" to deploy as a local agent, enabling browser operations through natural language commands. For users of other AI agent tools, the settings page provides connection commands that can be pasted into the agent tool to automatically connect to the WebBridge service.
Notably, while most current cloud-based browser agent solutions offer convenience, they require routing users' browsing activity through third-party servers. For scenarios involving personal accounts or sensitive data, Kimi WebBridge's localized architecture provides a differentiated alternative. That said, when operating a browser through this plugin, the AI agent requires a period of exploration, iteration, and training each time before learning how to complete tasks efficiently—a learning curve that users will need to weigh in practical adoption.
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