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Google's open-source TypeScript framework for building scalable web apps, featuring signals, reactivity and first-party tooling.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
Lightweight MIT-licensed JavaScript chatbot UI widget for building support-agent chat interfaces on top of any LLM.
Open-source, model-agnostic AI code review tool positioned as a CodeRabbit alternative with control over models and costs.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
No public pricing
No public pricing
Free trial available
No public pricing
Free trial available
No public pricing
- ✦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
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦MIT-licensed and free to use
- ✦Lightweight (~65kb) JavaScript widget
- ✦4 message display modes plus typewriter effect
- ✦Markdown support and chat history
- ✦Backend hook to integrate any LLM
- ✦Responsive, mobile-friendly, read-only mode
- ✦Model-agnostic reviews with your own API keys (BYOK)
- ✦Custom review rules written in plain language
- ✦Detects rule files from Cursor, Copilot, and Claude
- ✦Business-rule validation from Jira, Linear, and Notion
- ✦Automatic technical-debt tracking
- ✦Engineering delivery metrics dashboard
- ✦Self-hosted or cloud, open source
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- →Building scalable single-page apps
- →Enterprise web application development
- →Performance-critical front ends
- →Learning modern web development
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Adding an AI chat UI to web apps
- →Building LLM-powered support agents
- →Embedding chat widgets in existing products
- →Prototyping chatbot interfaces
- →Automated pull-request review
- →Enforcing team-specific code standards
- →Self-hosting AI review to control costs
- →Tracking technical debt and delivery metrics
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups