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Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.
Desktop and VS Code AI coding assistant that generates and explains code from plain-language prompts, for developers and coding students.
Free AI helper that turns a plain-English description of a task into the matching Git command to copy and run.
No public pricing
No public pricing
Free trial available
No public pricing
No public pricing
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Multi-agent collaboration for end-to-end tasks
- ✦Persistent memory and custom rules
- ✦Extensible skills and plugins
- ✦Rich context across code, images, and directories
- ✦Automatic codebase documentation generation
- ✦Terminal-native CLI and JetBrains IDE plugin
- ✦Cloud-hosted agents for enterprise use
- ✦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)
- ✦AI code generation from natural-language prompts
- ✦AI code explanation for unfamiliar snippets
- ✦Snippet bookmarking for later reuse
- ✦VS Code extension integration
- ✦Support for major programming languages
- ✦Desktop apps for Windows and macOS
- ✦Natural-language to Git command suggestions
- ✦AI-driven command matching
- ✦Copy-ready command output
- ✦Git guides and reference
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Autonomous feature development in large codebases
- →Terminal-based AI pair programming
- →Cross-department task automation for legal, finance, HR
- →Onboarding developers to unfamiliar codebases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Speeding up debugging and syntax lookup for professional developers
- →Helping students understand coding concepts step by step
- →Generating boilerplate or algorithmic code snippets
- →Saving and organizing reusable code snippets across projects
- →Find the correct Git command quickly
- →Learn Git syntax by describing a goal
- →Avoid memorizing Git flags