Human CLI - AI assistant in your terminal
Human-friendly process signals
Returns from a pool of 15m human-readable IDs
YAML 1.2 parser and serializer
Human-friendly & AI agent-friendly CLI for Human MCP — vision, speech, generation, reasoning in one terminal command
Human-readable error messages for Ajv (Another JSON Schema Validator).
API testing framework core
Generate human-readable ids from lists of easy-to-spell nouns and adjectives
An SVG inspector tool
Converts a number to/from a human readable string: `1337` ↔ `1.34kB`
AWS SDK for JavaScript Sagemaker A2i Runtime Client for Node.js, Browser and React Native
YAML 1.2 parser and serializer
Skillflag producer CLI reference implementation.
Lists the contents of directories in a tree-like format, similar to the Linux tree command.
Delay execution for a given duration
Format numbers for human consumption.
Shared types for the crawlee projects
Human readable time measurements
Metapackage for installing all babysitter npm packages
LangGraph
show seconds in a human-readable form
Parse a human name string into salutation, first name, middle name, last name, suffix. Parse an address into address, city, state, zip
Presenting values in human-readable form.
The official CLI for Lark/Feishu open platform
A CLI tool that make input human-readable
A simple multilingual tokenizer for NLP tasks. This tool provides a CLI and a library for linguistic tokenization which is an anavoidable step for many HLT (human language technology) tasks in the preprocessing phase for further syntactic, semantic and other higher level processing goals. Use it for tokenization of German, English and French texts.
Provides the dedicated ace-hitl package surface for human in the loop (HITL) semantics and CLI workflows.
Tellus: Mother Earth A reverse geocoding utility for terminal. Use any CLI to change a pair of latitude and longitude to human readable addresses. This also works with csv of latitudes and longitudes.
AutoStacker24 is a small ruby gem for managing AWS CloudFormation stacks. It is a thin wrapper around the AWS Ruby SDK. It lets you write simple and convenient automation scripts, especially if you have lots of parameters or dependencies between stacks. You can use it directly from Ruby code or from the command line. It enhances CloudFormation templates by parameter expansion in strings and it is even possible to write templates in YAML which is much friendlier to humans than JSON. You can use autostacker24 cli to convert existing templates to YAML.
Production CLI for ActiveRabbit: status, incidents, explain, trace. Human and machine-readable output (JSON, Markdown). Designed for developers and AI agents.
A simple multilingual tokenizer for NLP tasks. This tool provides a CLI and a library for linguistic tokenization which is an anavoidable step for many HLT (human language technology) tasks in the preprocessing phase for further syntactic, semantic and other higher level processing goals. Use it for tokenization of German, English and French texts.
A simple multilingual tokenizer for NLP tasks. This tool provides a CLI and a library for linguistic tokenization which is an anavoidable step for many HLT (human language technology) tasks in the preprocessing phase for further syntactic, semantic and other higher level processing goals. Use it for tokenization of German, English and French texts.
A simple multilingual tokenizer for NLP tasks. This tool provides a CLI and a library for linguistic tokenization which is an anavoidable step for many HLT (human language technology) tasks in the preprocessing phase for further syntactic, semantic and other higher level processing goals. Use it for tokenization of German, English and French texts.
A simple, local kanban board backed by SQLite. Designed for AI agents and humans to manage tasks, track progress, and collaborate via CLI and TUI.
The app provides a command-line interface (CLI) to an Ollama AI model, allowing users to engage in text-based conversations and generate human-like responses. Users can import data from local files or web pages, which are then processed through three different modes: fully importing the content into the conversation context, summarizing the information for concise reference, or storing it in an embedding vector database for later retrieval based on the conversation.
RCrewAI is a powerful Ruby framework for creating autonomous AI agent crews that collaborate to solve complex tasks. Build intelligent workflows with reasoning agents, tool usage, memory systems, and human oversight. Key Features: • Multi-Agent Orchestration: Create crews of specialized AI agents that work together • Multi-LLM Support: OpenAI GPT-4, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Rich Tool Ecosystem: Web search, file operations, SQL databases, email, code execution, PDF processing • Agent Memory: Short-term and long-term memory for learning from past executions • Human-in-the-Loop: Interactive approval workflows and collaborative decision making • Advanced Task Management: Dependencies, retries, async execution, and context sharing • Hierarchical Teams: Manager agents that coordinate and delegate to specialist agents • Production Ready: Security controls, error handling, comprehensive logging, and monitoring • Ruby-First Design: Built specifically for Ruby developers with idiomatic patterns • CLI Tools: Command-line interface for creating and managing AI crews
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