AI CLI Tools
AI-powered command-line tools that bring intelligence to the terminal — coding assistants like Claude Code and aider, general-purpose LLM CLIs, DevOps tools, and utilities that integrate into developer shell workflows.
Google's open-source terminal coding agent — Gemini + 1M context + Search grounding in the shell.
OpenAI's open-source terminal coding agent — reads, edits, runs commands with configurable autonomy levels.
Cursor's headless terminal agent — the Cursor loop in shells, scripts, and CI.
Sourcegraph's agentic coding tool — frontier models, subagents, shared team threads (CLI + editor).
AI Kubernetes troubleshooter — scans clusters for issues and explains them in plain English with fixes.
AI command-line assistant — explains commands and generates shell scripts from natural language via gh CLI.
OpenAI's terminal coding agent — file editing, command execution, sandboxed, multi-file support.
LlamaIndex CLI to scaffold full-stack RAG applications.
Node-based Stable Diffusion CLI/GUI.
OpenAI speech recognition CLI.
Free AI chatbot in terminal — no API keys needed, code execution, image generation.
AI-powered static analysis for security.
LLM prompt testing and evaluation — compare models, detect regressions, assertions, CI/CD.
CLI coding assistant — multi-file edits with project context understanding.
CLI for LLMs — multi-provider, conversation history, templates, embeddings, plugin ecosystem.
Single-file executable LLMs — bundle model + inference, runs on any OS with zero install.
AI-generated git commit messages — analyzes staged changes, conventional commits.
All-in-one AI CLI with RAG and tools.
AI-powered terminal with natural language commands.
AI-powered shell command generator.
CLI productivity tool — generate shell commands and code from natural language.
Pipe CLI output through AI models.
CLI tool for interacting with LLMs.
Official Hugging Face Hub CLI.
Data version control for ML projects.
AI-powered infrastructure-as-code generator.
Natural language to shell commands.
Modern terminal with built-in AI.
Active learning annotation tool by the spaCy team.
AWS AI CLI assistant — natural language commands, autocomplete, AWS infrastructure management.
Pointer to the official Claude Code package at @anthropic-ai/claude-code
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
Load and run large LLMs locally to use in your terminal or build your...
An open-source AI agent that brings the power of Gemini directly into your terminal.
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.
AI-enhanced terminal with command suggestions, error explanations, and...
CLI that provides command completion, command translation using generative AI to translate intent to commands, and a full agentic chat interface with...
小红书（XiaoHongShu、RedNote）链接提取/作品采集工具：提取账号发布、收藏、点赞、专辑作品链接；提取搜索结果作品、用户链接；采集小红书作品信息；提取小红书作品下载地址；下载小红书作品文件
Google Workspace CLI — one command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discovery Service. Includes AI agent skills.
Lightweight Bash scripts that enhance your terminal coding workflow with web-based AI assistants like Claude or Grok without disrupting your development...
Open source, terminal-based AI programming engine for complex...
How2 is an AI tool that provides code-completion for the Unix Terminal, suggesting shell commands using AI...
Transforms natural language into Linux commands, enhancing accessibility and...
Terminal assistant harnessing ChatGPT for context-aware...
Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks go from beginner to power user!
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
CLI allowing you to interact with AWS Cloud using human language inside your...
A python tool that uses GPT-4, FFmpeg, and OpenCV to automatically analyze videos, extract the most interesting sections, and crop them for an improved viewing experience.
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
See where your AI coding tokens go. Interactive TUI dashboard for Claude Code, Codex, and Cursor cost observability.
Open-source CLI security scanner for agentic...
The ultimate all-in-one guide to mastering Claude Code. From setup, prompt engineering, commands, hooks, workflows, automation, and integrations, to MCP servers, tools, and the BMAD method—packed with step-by-step tutorials, real-world examples, and expert strategies to make this the global go-to re
Force Remove Copilot, Recall and More in Windows 11
I use AI agents to build UI features daily. The thing that kept annoying me: the agent writes code but never sees what it actually looks like in the browser. It can’t tell if the layout is broken or if the console is throwing errors.So I built a CLI that lets the agent open a browser, interact with
A text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include agent mode, multi-server, model switching, streaming responses, tool management, human-in-the-loop, thinking mode, model params config, MCP prompts, custom system prompt and saved preferences. Bu
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
Your AI-Enhanced Command Line...
Continuous Claude is a CLI wrapper I made that runs Claude Code in an iterative loop with persistent context, automatically driving a PR-based workflow. Each iteration creates a branch, applies a focused code change, generates a commit, opens a PR via GitHub's CLI, waits for required checks and
Multi-Platform Package Manager for Stable Diffusion
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
CLI agents make self-hosting on a home server easier and fun
Use command line to edit code in your local repo
I got tired of sharing AI demos with terminal screenshots or screen recordings.Claude Code already stores full session transcripts locally as JSONL files. Those logs contain everything: prompts, tool calls, thinking blocks, and timestamps.I built a small CLI tool that converts those logs into an int
One command brings a complete pre-wired LLM stack with hundreds of services to explore.
AI agent security scanner. Detect vulnerabilities in agent configurations, MCP servers, and tool permissions. Available as CLI, GitHub Action, ECC plugin, and GitHub App integration. 🛡️
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.
Deploy Your Frontend in a Single Command. Claude Code Skills supported.
✏️ Apollo CLI for client tooling (Mostly replaced by Rover)
Every MCP server injects its full tool schemas into context on every turn — 30 tools costs ~3,600 tokens/turn whether the model uses them or not. Over 25 turns with 120 tools, that's 362,000 tokens just for schemas.mcp2cli turns any MCP server or OpenAPI spec into a CLI at runtime. The LLM
Hi! I’m Nathan: an ML Engineer at Mozilla.ai: I built agent-of-empires (aoe): a CLI application to help you manage all of your running Claude Code/Opencode sessions and know when they are waiting for you.- Written in rust and relies on tmux for security and reliability - Monitors state of cli s
Security scanner for AI agents, MCP servers and agent skills.
A Utility CLI for AI Coding Agents
Gemini CLI를 편하게 사용할 수 있습니다.
I've been building computer-use tools for a while, and I quietly launched this about a month ago (122 Stars on GH). I figured it was worth sharing here.Over the last few months, a lot of computer-use agents have come out: Codex, Claude Code, CUA, and others. Most of them seem to work roughly li
Web/desktop UI for Gemini CLI/Qwen Code. Manage projects, switch between tools, search across past conversations, and manage MCP servers, all from one multilingual interface, locally or remotely.
Claude Code deleted my research and plan markdown files and informed me: “I accidentally rm -rf'd real directories in my Obsidian vault through a symlink it didn't realize was there: I made a mistake. “Unfortunately the backup of my documentation accidentally hadn’t run for a month. So I b
Security toolkit for AI agents. Scan your machine for dangerous skills and MCP configs, monitor for supply chain attacks, test prompt injection resistance, and audit live MCP servers for tool poisoning.
Vercel AI Provider for running LLMs locally using Ollama
run LLM backends, APIs, frontends, and services with one...
Paperclip CLI — orchestrate AI agent teams to run a business
Intelligent CLI tool with AI-powered model selection that analyzes your hardware and recommends optimal LLM models for your system
Just to clarify the background a bit. This project wasn’t planned as a big standalone release at first. On January 16, Ollama added support for an Anthropic-compatible API, and I was curious how far this could be pushed in practice. I decided to try plugging local Ollama models directly into a Claud
Platform for AI-powered software engineers
Triton Model Analyzer is a tool to profile and analyze the runtime performance of one or more models on the Triton Inference Server
Scaffold AI agent skills quickly with the Build Skill CLI.
Show HN: RAG-chunk – A CLI to test RAG chunking strategies
Search Solana documentation to quickly find concepts, guides, and examples. Inspect on-chain state by fetching balances, accounts, transactions, blocks, and slots. Create and manage wallets, sign messages, and request testnet airdrops to speed up development.
Analyze your project to detect its language and deployment needs. Generate and validate Smithery-ready configuration, with the option to initialize files when you approve. Follow a guided workflow to convert existing setups and deploy with confidence.
The mcp-use CLI is a tool for building and deploying MCP servers with support for ChatGPT Apps, Code Mode, OAuth, Notifications, Sampling, Observability and more.
Run terminal commands on your machine and get immediate output. Automate system tasks, inspect files, and manage processes from one place. Streamline command-line workflows without leaving your current context.
Git for data scientists - manage your code and data together
CLI/MCP tool providing TypeScript code intelligence via the TypeScript Language Service. Analyze exports, imports, resolve symbols, and check type errors.
CLI for OpenTool — the open-source MCP tool server. Connect, manage, and execute tools from your terminal.
Shennian — AI Agent Mobile Console CLI
Hi HN! I’m Ivan, one of the founders of Sourcewizard.It’s a CLI tool that works with AI coding agents (like Cursor and Claude) to install and set up SDKs correctly including middleware, pages, env vars, everything.Similar to the PostHog Install AI Wizard: https://posthog.com/docs/
** - A comprehensive security scanner for Model Context Protocol (MCP) servers that detects vulnerabilities and security issues in your MCP server implementations.
** - A powerful interactive terminal **M**CP **Bro**wser client with tab completion and automatic documentation that allows you to work with multiple MCP servers, manage tools, and create complex workflows using AI assistants.
Campaign link builder & pre-launch validator. Builds UTM links, validates destinations, checks OG tags, Twitter Cards, mobile readiness, and redirects. One preflight command does build + validate + inspect.
What are AI CLI Tools?
AI CLI tools bring AI capabilities directly into the terminal — where developers already work. From coding agents that edit files and run tests (Claude Code, Aider, Codex CLI) to natural-language shell assistants and task automation tools. The best CLI tools understand your project context (codebase, git history, environment) and integrate into existing terminal workflows.
How to Choose
Evaluate CLI tools on three axes: context awareness (does it understand your full project?), autonomy level (does it ask permission before changes?), and workflow integration (does it work with your existing tools?). For coding CLIs, test on a real task in your codebase. Check model support — can you use your preferred model? And check cost transparency — does it show token usage?
Key Capabilities to Evaluate
Common Patterns
Persistent session where you have a conversation with the AI. It remembers context across turns. Claude Code and Aider use this pattern.
Single command → single output. Best for quick tasks like 'explain this error' or 'generate a commit message'.
The CLI autonomously plans and executes multi-step tasks, asking for approval at key decision points.
Works as part of Unix pipelines — accepts stdin, produces stdout. Composes with other CLI tools.
What to Watch Out For
Top Capabilities
Browse all →Analyzes selected code or entire files and generates natural language explanations of what the code does, how it works, and why certain patterns were chosen. The feature can produce documentation in multiple formats (docstrings, comments, markdown) and supports various documentation styles (JSDoc, Sphinx, etc.). Developers can request explanations at different levels of detail (high-level overview, line-by-line breakdown, architectural context) through the chat interface, with responses appearing as formatted text or code comments.
Cody utilizes a context-aware engine that analyzes the current file and project structure to provide relevant code completions. It integrates with the Visual Studio Code API to access the Abstract Syntax Tree (AST) of the code, allowing it to suggest completions that are semantically relevant to the context, rather than relying solely on keyword matching. This approach ensures that the suggestions are not only syntactically correct but also contextually appropriate, enhancing developer productivity.
Converts natural language prompts into executable full-stack web applications by invoking an AI agent that generates React/Next.js frontend code, Node.js backend logic, and database schemas. The agent runs code in-browser via WebContainers to validate syntax and functionality before deployment, iterating on the generated code based on execution feedback. Token consumption scales with project complexity (larger codebases consume more tokens per iteration), and the agent supports design system imports from Figma and GitHub to accelerate UI generation.
Provides six model variants (tiny, base, small, medium, large, turbo) with parameter counts ranging from 39M to 1550M, enabling developers to choose optimal speed-accuracy tradeoffs. Tiny model runs at ~10x speed with 1GB VRAM; large model runs at 1x speed with 10GB VRAM. English-only variants (tiny.en, base.en, small.en) provide higher English accuracy by removing multilingual capacity. Turbo model (809M params) offers 8x speedup over large with minimal accuracy loss but lacks translation support.
Translates non-English speech directly to English text by using a task-specific token in the TextDecoder that signals translation mode, bypassing the need for intermediate transcription-then-translation pipelines. The AudioEncoder processes mel spectrograms identically to transcription, but the decoder generates English tokens directly from audio embeddings, reducing latency and error propagation compared to cascaded systems.
Transcribes audio in 98 languages to text in the original language using a unified Transformer sequence-to-sequence architecture with a shared AudioEncoder that processes mel spectrograms into language-agnostic embeddings, then a TextDecoder that generates tokens autoregressively. The system handles variable-length audio by padding or trimming to 30-second segments and uses task-specific tokens to signal transcription mode, enabling a single model to handle multiple languages without language-specific branches.
Detects the spoken language in audio by processing mel spectrograms through the AudioEncoder and using a language classification head that outputs probability distributions over 98 supported languages. The model leverages 680K hours of multilingual training data to recognize language characteristics from acoustic features alone, without requiring transcription. Language detection occurs as a preliminary step in the transcription pipeline and can be called independently via the language detection task token.
W&B Personal tier (free) and Enterprise tier support self-hosted deployment via Docker, enabling on-premise installation for teams with data residency or security requirements. Self-hosted instances run independently from W&B cloud, with optional integration to W&B cloud for cross-instance features. Supports custom domain configuration, HTTPS, and integration with corporate identity providers (LDAP, SAML, OAuth).
Browse Other Types
Autonomous AI systems that act on your behalf
ModelsFoundation models, fine-tunes, and specialized AI models
MCP ServersModel Context Protocol tools and integrations
RepositoriesOpen-source AI projects on GitHub
APIsProgrammatic endpoints for AI capabilities
ExtensionsBrowser and IDE extensions powered by AI
View all 19 types →Frequently Asked Questions
What is the best AI coding CLI tool?
Claude Code and Aider are leading AI coding CLIs. Claude Code excels at autonomous multi-file edits with project-wide understanding. Aider works with any Git repository and supports multiple LLM providers. Both can run tests, commit changes, and debug issues from the terminal.
Can AI CLI tools work with local models?
Yes. Many AI CLI tools support local models via Ollama or llama.cpp. Aider explicitly supports Ollama, and Claude Code can be configured with custom endpoints. Local models give you full privacy but may have lower capability than cloud APIs.