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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Frontegg
✓ verifiedFreemium
Low-code customer identity and access management (CIAM) platform handling authentication and user management for SaaS apps.
9.0K saves
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DHTMLX Chatbot
✓ verifiedFree
Lightweight MIT-licensed JavaScript chatbot UI widget for building support-agent chat interfaces on top of any LLM.
92K visits/mo
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Trae
✓ verifiedFreemium
Trae AI-powered IDE for developer collaboration; notable ByteDance-backed dev product.
2.3M visits/mo
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Windsurf Editor
✓ verifiedFree trial
AI-powered code editor with agentic workflows for developers.
3.3M visits/mo
Pricing
No public pricing
No public pricing
No public pricing
No public pricing
Core features
- ✦Low-code CIAM identity layer
- ✦Authentication and authorization for SaaS apps
- ✦Self-service user and org management
- ✦Security across all product entry points
- ✦Agentic AI access layer (Agen.co)
- ✦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 Agents
- ✦Tool Integration
- ✦Context Awareness
- ✦Smart Autocompletion
- ✦Local Data Storage
- ✦Secure Data Access
- ✦AI-powered code completion and suggestions
- ✦Automated lint fixing
- ✦Cascade agent for advanced coding assistance
- ✦Integrated app building and deployment
- ✦MCP server support for custom tools
- ✦Terminal command integration
- ✦Memory of codebase structure and workflow
Use cases
- →Adding login and auth to a SaaS product
- →Managing customer users and organizations at scale
- →Securing multiple product entry points
- →Exposing a product safely to AI agents
- →Adding an AI chat UI to web apps
- →Building LLM-powered support agents
- →Embedding chat widgets in existing products
- →Prototyping chatbot interfaces
- →Automating coding tasks with AI agents
- →Integrating external tools for enhanced functionality
- →Improving code accuracy with context-aware suggestions
- →Boosting coding speed with smart autocompletion
- →Building RAG apps without writing code
- →Accelerating software development by automating repetitive tasks
- →Reducing onboarding time for new developers
- →Improving code quality and reducing tech debt
- →Streamlining the app building and deployment process
- →Enhancing developer productivity by keeping them in a state of flow
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