Link prompts and conversations directly to the generated code for better accountability.
Measure the impact of AI on your codebase and productivity with insightful analytics.
Share AI-assisted development context with your team through effective version control.
Gait automatically saves AI-codegen chats into a dedicated file for easy access.
Easily integrate with VSCode or Cursor by installing the Gait extension from the marketplace.
Choose from open-source or pro plans that suit your team's needs, including advanced features like prompt replay and model comparison.
Step into the future of innovation with Dezee, a cutting-edge AI tool redefining how we interact with technology. As your ultimate creative partner, it unleashes endless possibilities by seamlessly generating images, text, voice, transcripts, and summaries.
AI4DUI.com is your go-to resource for general DUI information, emotional and motivational support, and a guiding hand helping with sobriety. AI4DUI provides help with finding a DUI Attorney, DUI leads and DUI Attorney Listings.
Void Chats is a platform that allows the users to experience a unique conversation between them and AI versions of their favorite movie, TV, and anime characters. Even craft their own AI chat personalities. Where imagination meets conversation.
An all-in-one AI-powered database tool for you and your team to manage databases and visualize data using natural language. Chat2DB Local provides a convenient offline mode, ensuring efficient work in any environment.
ChatTTS is a voice generation model on GitHub at 2noise/chattts,Chat TTS is specifically designed for conversational scenarios. It is ideal for applications such as dialogue tasks for large language model assistants, as well as conversational audio and video introductions. The model supports both Chinese and English, demonstrating high quality and naturalness in speech synthesis. This level of performance is achieved through training on approximately 100,000 hours of Chinese and English data. Additionally, the project team plans to open-source a basic model trained with 40,000 hours of data, which will aid the academic and developer communities in further research and development.