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Lightweight MIT-licensed JavaScript chatbot UI widget for building support-agent chat interfaces on top of any LLM.
An AI CAPTCHA-solving service via browser extension or API, supporting reCAPTCHA, hCaptcha, FunCaptcha and more for automation.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
Documentation and knowledge platform that keeps developer docs self-updating and queryable by AI agents.
One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.
No public pricing
No public pricing
Free trial available
Free trial available
Free trial available
- ✦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
- ✦AI CAPTCHA recognition (reCAPTCHA, hCaptcha, FunCaptcha, GeeTest, AWS WAF)
- ✦Chrome extension and Firefox add-on
- ✦Token and recognition APIs for browserless use
- ✦SDKs for Python and Node.js
- ✦Works with Selenium, Puppeteer and Playwright
- ✦Usage/activity monitoring dashboard
- ✦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
- ✦Self-updating documentation
- ✦Web-based documentation editor
- ✦Custom domain hosting
- ✦Built-in search and API playground
- ✦MCP server for agent access
- ✦Authentication and access controls
- ✦One-click bug capture via browser extension
- ✦Automatic repro steps
- ✦Console, network and device logs
- ✦Instant replay of recent activity
- ✦Backend tracing and an AI debugger
- ✦Integrations with Jira, Linear, GitHub and Slack
- →Adding an AI chat UI to web apps
- →Building LLM-powered support agents
- →Embedding chat widgets in existing products
- →Prototyping chatbot interfaces
- →Automating CAPTCHA-gated web workflows
- →Bypassing bot checks in scraping and testing
- →Integrating CAPTCHA solving into scripts
- →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
- →Publish and maintain developer documentation
- →Expose docs to AI agents via MCP
- →Host a branded docs site on a custom domain
- →Give teams a collaborative doc editor
- →Filing detailed bug reports
- →Reproducing issues faster in QA
- →Sharing debug context with engineers
- →Triaging support bug reports
