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AI-native desktop browser that lets users chat with page context and run pre-built 'skills' to automate research, notes and content tasks.
Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Low-code integration platform for connecting thousands of APIs into workflows and AI agents, including an MCP tool server.
AI design-to-code tool that turns Figma/Adobe XD designs into responsive front-end code for React, HTML/CSS and more.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Context-aware AI chat that reads tabs, files and screenshots
- ✦Library of thousands of site-specific automation skills
- ✦Multi-agent roles (research, operator, writer, analyst)
- ✦Access to multiple top AI models in one browser
- ✦Ability to turn recurring prompts into reusable custom skills
- ✦Local-first storage of highlights, chats and saved pages
- ✦Signals-based fine-grained reactivity
- ✦Built-in control flow and deferrable views
- ✦Server-side rendering and hydration
- ✦First-party routing, forms and dependency injection
- ✦AI-forward tooling and MCP resources
- ✦In-browser tutorials and playground
- ✦Visual and code-based workflow builder
- ✦Prebuilt AI agent builder and deployment
- ✦Managed authentication across thousands of apps
- ✦MCP server exposing integrations as agent tools
- ✦Scheduled and event-triggered workflows
- ✦Connect SDK for embedding integrations into other products
- ✦Figma and Adobe XD plugins for design import
- ✦AI conversion of designs to responsive code
- ✦Output to React, React Native, Next.js, HTML/CSS, Vue and more
- ✦Reusable, editable components
- ✦One-click export or sync of generated code
- →Researchers summarizing papers and academic feeds
- →Developers getting AI explanations of pull requests and diffs
- →Content creators extracting highlights from long videos or podcasts
- →Knowledge workers organizing and searching chat history and saved pages
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Building AI agents that call external APIs and tools
- →Automating cross-app workflows such as Slack, Gmail, or Sheets notifications
- →Embedding third-party integrations into a SaaS product
- →Prototyping event-driven automations without heavy infrastructure
- →Turning designs into front-end code faster
- →Prototyping web and mobile UIs from Figma
- →Giving developers a code head-start from designs