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Pricing
No public pricing
No public pricing
No public pricing
Free Plan: $0 one-time
Hobby: $16/month
Standard: $83/month
Growth: $333/month
Auto Recharge Credits: $11/mo for 1000 credits
Credit Pack: $9/mo for 1000 credits
Enterprise Plan: Contact for Pricing
Core features
- ✦AI-powered code autocompletion
- ✦Context-aware code referencing and chat
- ✦Natural language code editing
- ✦Customizable AI code assistants
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦WeChat Direct Integration: Control your PC via mobile chat messages without complex setup.
- ✦5000+ Skills Ecosystem: Supports various plugins and skills from markets like ClawHub and GitHub.
- ✦Local File & Browser Control: Directly open, edit, and process local files or web pages.
- ✦Persistent AI Memory: Remembers user preferences and context for more personalized assistance.
- ✦Multi-Model Support: Built-in domestic LLMs with the ability to switch to custom models.
- ✦Web scraping
- ✦Web crawling
- ✦Data extraction in Markdown, JSON, and screenshot formats
- ✦Dynamic content handling
- ✦Rotating proxies
- ✦Rate limits management
- ✦Open-source availability
- ✦Media Parsing
Use cases
- →Accelerate development with AI-powered autocompletion.
- →Improve code understanding with context-aware chat.
- →Refactor code using natural language instructions.
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Remote file processing, such as asking WeChat to sum data in an Excel sheet on your desktop.
- →Social media automation, such as generating and posting content to Xiaohongshu.
- →Automated software development, like creating a Chrome extension and pushing it to GitHub.
- →Academic research assistance, including searching for papers and generating literature reviews.
- →Setting up smart daily reminders for weather and outfit suggestions.
- →Powering AI assistants with real-time web content
- →Enhancing sales data with web information
- →Adding scraping capabilities to code editors
- →Enabling customers to build AI apps with web data
- →Extracting comprehensive information for in-depth research
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