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CHANGELOG

What's new

Latest updates and improvements

07/18/2025
v2.0.0
feature

Introduced a brand-new visual design for a more immersive intelligent development experience

Major visual overhaul with new SOLO Mode and enhanced development workflow.

New visual design preview
Launched the all-new SOLO Mode
  • AI automatically analyzes and organizes your requirements, generating an editable product requirement document
  • AI intelligently orchestrates tools like the editor, browser, terminal, and doc viewer to adapt to various development scenarios
  • Quickly build polished front-end applications with the SOLO Builder agent, enabling a streamlined end-to-end development workflow
  • Deploy projects in one click and instantly generate a shareable link
Tool panels automatically switch in real time to follow AI actions, clearly displaying the current operation status
Enhanced user interface with modern design patterns
  • Improved color scheme and typography
  • Better visual hierarchy and spacing
  • Enhanced accessibility features
09/15/2025
v2.4.5
feature

Optimized the interactive experience for cue

Enhanced user interaction patterns and improved overall experience quality.

Optimized the interactive experience for cue
  • Improved response times for user interactions
  • Enhanced visual feedback mechanisms
Fixed online issues
  • Resolved connectivity problems
  • Improved error handling for network issues
09/10/2025
v2.4.2
feature

MCP Servers Agent Tools Management

When creating Agents with MCP Servers, you can enable or disable tools in MCP Servers.

MCP Server management interface
Added MCP Server tools management interface
  • Intuitive toggle controls for individual tools
  • Real-time status indicators
  • Bulk enable/disable functionality
Enhanced agent configuration options
  • Advanced settings panel
  • Custom tool configurations
  • Performance optimization settings
Improved server connection stability
09/05/2025
v2.4.1
improvement

Enhanced AI Model Performance

Significant improvements to AI model response times and accuracy.

Performance improvements visualization
Reduced model response latency by 40%
  • Optimized inference pipeline
  • Improved caching mechanisms
  • Better resource allocation
Improved context understanding for complex queries
  • Enhanced natural language processing
  • Better semantic analysis
  • Improved multi-turn conversation handling
Enhanced multi-language processing capabilities

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