Introducing Command: Supercharge Your Terminal with AI

Command Is All You Need

A play on the famous “Attention is all you need” paper that introduced Transformers. With Command, a simple terminal command is all you need to harness the power of frontier and local LLMs. No browser tabs, no apps, no context switching—just pure, fast workflow.

Try ask "create a table of planets" and watch your Terminal come alive with streaming responses, markdown-formatted tables, and syntax-highlighted code blocks!

Why Command?

In the rapidly evolving landscape of AI-powered productivity tools, Command stands out as a refreshingly simple yet powerful solution. Here’s why developers and knowledge workers are making it their go-to AI assistant:

1. Latest Claude Models Built-in

Command includes Claude 4.5 Sonnet, Claude 4.5 Haiku, and Claude 4.1 Opus—the newest, most capable models from Anthropic. Easy-to-use aliases like sonnet4-5, haiku4-5, and opus4-1 let you switch models instantly.

Model configurations are intelligently optimized:

• Haiku 4.5 for fast, simple tasks (40% cost savings)
• Sonnet 4.5 for complex reasoning and code generation
• Opus 4.1 for deep creative writing and validation

2. Effortless Setup

New .env.local support makes API key configuration a breeze. Just copy .env.local.example, add your keys, and go. No shell configuration needed. Command auto-loads your keys from the current directory or home directory. Only configure the providers you actually use.

3. Top Models and Providers

Switch between private or hosted frontier LLMs with ease. Command supports 15+ leading models including:

• Claude: Sonnet 4.5, Haiku 4.5, Opus 4.1, Sonnet 3.5, Opus 3, Haiku 3
• OpenAI: GPT-4o, GPT-4o Mini, DALL-E 3
• Google: Gemini 1.5 Pro, Gemini 1.5 Flash
• Local: Llama 3.1, Mistral NeMo, Gemma 2, Qwen 2 via Ollama
• Groq, Perplexity, Bedrock and more

Quick Start

Get started in under 60 seconds:

pip install command
cmnd init
cmnd id  # identifies active provider and model
ask "How old is the oldest pyramid?"

That’s it! You’re now prompting frontier AI models directly from your terminal.

Intent-Driven Workflow

Command transforms your intents—tasks, goals, questions—into actionable results. Save your intents as simple markdown outlines, recall them when needed, run models on them, and save results based on your workflow.

Your intents are:

• Tasks you want to execute
• Goals you want to accomplish
• Plans you want to realize
• Decisions you want to make
• Questions you want to answer

You control your entire Command experience with your intents.

Markdown Workflows

Command works seamlessly with markdown content, integrating perfectly with VS Code, Obsidian, and other markdown tools. Design custom workflows that enhance your craft without leaving your favorite environment.

Want to expand blog posts? Research papers? Meeting notes? Just create a custom refer-* section in your command.yml:

refer-post-to-update:
  lookup-folder: Posts
  max-tokens: 4000
  model: opus4-1  # Opus 4.1 excels at creative writing
  provider: claude
  save: true
  save-folder: Posts
  system: You will be given a partially written blog post...
  temperature: 0.5

Then run:

refer post-to-update "startup-growth-hacking"

Watch as the model streams its response and saves the expanded post automatically.

Test and Evaluate Models

Command makes it effortless to compare 15+ leading models from 7 providers. The cmnd test command runs your prompts across all configured provider-model combinations and generates a comprehensive evaluation summary.

What You Can Compare:

• Response Time (Latency)
• Response Quality
• Response Accuracy
• Token Length (Cost)

cmnd test ask      # Test text generation models
cmnd test vision   # Test vision-capable models

Visualize Trends

Every cmnd test run saves detailed metrics (latency, token counts) to the Metrics folder. Over time, these metrics reveal performance patterns and help you make informed decisions.

cmnd trends           # View trends for last 7 days (default)
cmnd trends --days 30 # View trends for last 30 days

You’ll see sparkline visualizations showing:

• Latency patterns over time
• Token count trends
• Consistency metrics across models

Privacy Controls

You control your data. Period. Choose models and providers you trust, or run LLMs entirely locally on your laptop with zero external API calls.

Your Privacy Options:

1. Fully Local (Zero Cloud): Use Ollama with Llama 3.1, Mistral NeMo, Gemma 2, or Qwen 2. Your data never leaves your machine.

2. Trusted Cloud Providers: Select from Anthropic (Claude), OpenAI, Google (Gemini), Groq, Perplexity, or AWS Bedrock based on your trust and compliance requirements.

3. Hybrid Workflows: Use local models for sensitive data, cloud models for general tasks.

Switch instantly:

cmnd config ask model llama      # Switch to local Llama 3.1
cmnd config ask provider ollama  # Ensure local provider

Audit Trail

Command saves a trail of commands, prompts, templates, lookup folders, and saved files in trail.yml. Visualize this anytime using cmnd audit to gain insights of your Command usage over time.

The audit dashboard shows:

• Commands run over time
• Most used models and providers
• Token usage patterns
• Saved files and their locations

Workflow Freedom

Your terminal, your rules. No behavioral marketing, no growth hacking, no forced workflows. Command puts you in complete control of your AI experience.

Choose Your Path:

• Speed: Groq with Llama 3.1 for ultra-fast responses
• Capability: Sonnet 4.5, Opus 4.1, or GPT-4o for frontier performance
• Privacy: Mistral NeMo, Llama 3.1, or Gemma 2 running locally via Ollama
• Context: Gemini 1.5 Pro/Flash for massive context windows (up to 2M tokens)
• Cost: Haiku 4.5 for 40% savings on simple tasks

Switch between any workflow with a simple config change or terminal command. Work online with fast WiFi or completely offline with local models. No constraints.

Supercharge Your Terminal

Turn your terminal into an AI powerhouse. Command gives you 15+ models, 7 providers, and complete workflow freedom:

$ ask "create a table of planets"

# Streaming response from Claude Sonnet 4.5...

| Planet   | Distance from Sun | Diameter    | Moons |
|----------|------------------|-------------|--------|
| Mercury  | 57.9 million km  | 4,879 km    | 0      |
| Venus    | 108.2 million km | 12,104 km   | 0      |
| Earth    | 149.6 million km | 12,742 km   | 1      |
| Mars     | 227.9 million km | 6,779 km    | 2      |

$ cmnd test ask
✓ Claude Sonnet 4.5: 1.2s (fast)
✓ GPT-4o: 1.8s (accurate)
✓ Gemini Flash: 0.8s (ultra-fast)

Command Reference

Here are the main commands available:

Get Started Today

Command is MIT licensed and free for both personal and commercial use. Install it today and transform your terminal into an AI powerhouse:

pip install command
cmnd init
ask "What can you help me with?"

Visit the Command GitHub repository for full documentation, examples, and community support.

For detailed documentation and advanced workflows, check out navamai.com.

Command is part of Navam’s suite of production-ready AI tools. Explore our other products:

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