NavamAI is a personal AI application that enhances your craft with fast, quality AI. It supercharges your Terminal into a configurable, interactive, and unobtrusive personal AI app, providing access to 15 LLMs and 7 providers. It pairs well with Markdown, VS Code, and Obsidian, allowing you to automate workflows, generate situational apps, and customize your AI experience.
What is NavamAI?
How to use
Install NavamAI via pip, initialize it in your desired folder (e.g., Obsidian vault or VS Code project), and then use simple commands like 'ask' to prompt the model. Customize the configuration file to align NavamAI with your specific workflow.
Core Features
- Terminal-based AI interaction
- Access to 15 LLMs and 7 providers
- Markdown workflow automation
- Situational app generation
- Customizable commands and configurations
Use Cases
- Automate Markdown workflows with Obsidian and VS Code.
- Generate situational web apps without coding.
- Quickly prototype and iterate on code with inline prompting.
- Analyze personal AI usage with insightful command line dashboards.
FAQ
What is NavamAI?
NavamAI is a personal AI application that supercharges your terminal with access to multiple LLMs and providers, enabling you to automate workflows, generate apps, and customize your AI experience.
How do I install NavamAI?
You can install NavamAI using pip: `pip install -U navamai`. Then, initialize it in your desired folder using `navamai init`.
What commands are available in NavamAI?
NavamAI provides a range of commands, including `ask` for prompting LLMs, `image` for generating images, `refer` for extracting content, `run` for running code, and many more for customization and analysis.
Can I use NavamAI with Obsidian and VS Code?
Yes, NavamAI integrates seamlessly with Markdown, VS Code, and Obsidian, allowing you to automate workflows and enhance your craft within these tools.
Pricing
Pros & Cons
Pros
- Fast and quality AI assistance directly in your terminal.
- Highly configurable and customizable to suit individual workflows.
- Supports multiple LLMs and providers for flexibility.
- Enables rapid prototyping and app generation without coding.
- Privacy-focused, with control over your data and models.
Cons
- Requires familiarity with command-line interfaces.
- Initial setup and configuration may require some technical knowledge.
- Dependent on the availability and performance of chosen LLMs and providers.
- Limited UI compared to dedicated GUI applications.