RAG & memory improvement
Highlights
- Improved real-time response and code streaming
- Complete generated code synchronization with the built-in Editor
- Fixed incomplete downloadable code artifacts
- Added persistent project and session memory
- Added the ability to delete the current session and start fresh
- Improved codebase indexing and graph-aware RAG
- Better understanding of relationships between project files
- Enhanced automatic skill selection and skill usage tracking
- Added Git integration with approval-based changes and checkpoints
- Improved Custom API support with configurable model names
- Updated project dashboard and modular UI architecture
- Improved context-window and token usage management
- Added safeguards against indexing virtual environments and dependency folders
- Multiple stability, security, and runtime improvements
Windows Portable Version
The portable Windows executable is included in this release. It can be used without installing Python or configuring a development environment.
Ollama must still be installed and running when using Local Ollama mode. Alternatively, a compatible Custom API endpoint can be configured from the application settings.