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How2 logo
How2
✓ verifiedFreemium

AI command-line helper that turns plain English into Bash, Zsh or PowerShell commands; free for light daily use.

1.3K visits/mo3.0K saves
NavamAI logo
NavamAI
✓ verifiedFree

CLI-based personal AI that runs 15+ LLMs from your terminal and pairs with Markdown tools like Obsidian and VS Code.

991 visits/mo
Gemini Code Assist logo
Gemini Code Assist
✓ verifiedFreemium

Google's AI coding assistant for code completion, generation, chat and review across IDEs and GitHub.

559K visits/mo
Pieces logo
Pieces
✓ verifiedFreemium

An on-device developer memory tool that auto-captures code, docs and context across apps so engineers can search and reuse it later.

170K visits/mo
Pricing
Free: $0 (5 AI queries/day)
Hacker: $9/mo (100 AI queries/day)

No public pricing

No public pricing

No public pricing

Core features
  • Natural-language to shell command suggestions
  • Models trained on Bash/Zsh commands
  • Optional StackOverflow search via -s flag
  • PowerShell support
  • Quick Bash script generation
  • Suggests but never auto-runs commands
  • Terminal/CLI interface for prompting LLMs
  • Access to 15 models across 7 providers
  • Markdown workflow integration (Obsidian, VS Code, MkDocs)
  • Situational web-app generation and local run
  • Web scraping/content extraction (gather)
  • Vision-model support for images
  • Configurable prompt templates and intents
  • AI code completion and suggestions
  • Natural-language code generation
  • In-IDE chat assistance
  • AI code review
  • IDE integrations (VS Code, JetBrains, etc.)
  • GitHub integration
  • Automatic capture of code, docs and context across apps
  • Long-term memory engine for time-based search of past work
  • One-click save, search and AI-tagging of code snippets
  • Local, on-device processing with optional cloud sync
  • Plugin support for browsers and IDEs like VS Code
  • MCP integration with external LLMs for contextual answers
Use cases
  • Recalling forgotten shell syntax
  • Writing quick Bash one-liners
  • Learning terminal commands
  • Generating scripts from a description
  • Prompt and compare multiple LLMs from the terminal
  • Generate and run small web apps without setup
  • Automate Markdown document workflows
  • Extract structured content from text and webpages
  • Speeding up coding with AI completions
  • Generating code from plain-language prompts
  • Getting in-editor help and explanations
  • Reviewing pull requests with AI
  • Understanding unfamiliar codebases
  • Recalling code snippets and context from past coding sessions
  • Feeding accurate personal context into AI coding assistants
  • Keeping research notes and links without manual bookmarking
  • Preserving shared context across team collaboration tools
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