Terminal & CLI Tools

Fast, native terminal emulator

GPU-accelerated terminal emulator written in Zig by Mitchell Hashimoto (HashiCorp co-founder). Native UI rendering on macOS and Linux. Supports ligatures, true color, Kitty graphics protocol, and splits/tabs. Configurable via a simple key-value file with sensible defaults. Open-source with 20K+ GitHub stars and a focus on correctness, speed, and minimal resource usage. Growing as a modern alternative to iTerm2, Alacritty, and WezTerm.

Anthropic's agentic coding CLI

Anthropic's agentic CLI coding tool that delegates complex tasks to Claude directly from the terminal. Understands entire codebases via automatic context gathering, edits multiple files, runs shell commands, and manages Git workflows autonomously. Supports CLAUDE.md for persistent project instructions, integrates with VS Code and JetBrains, and uses Claude Opus/Sonnet with extended thinking for complex architectural decisions. Built for terminal-first developers.

Open-source AI agent framework with persistent memory, reusable skills, tools, and messaging gateways

Hermes Agent is an open-source AI agent framework with persistent memory, reusable skills, 40+ tools, cron jobs, and messaging gateways.

Minimal terminal coding harness

Pi Coding Agent is an MIT-licensed Node.js CLI from earendil-works for building and running coding agents in a local terminal. The current package describes a read/bash/edit/write toolset and session management, while the repo positions Pi as a unified LLM API, agent loop, TUI, and coding-agent CLI. It is best framed as a lean, self-extensible BYO-model toolkit rather than a managed IDE.

Open-source AI coding agent for the terminal

Open-source terminal-based AI coding agent built in Go by the SST team, with a rich TUI (Bubble Tea) supporting 75+ model providers including OpenAI, Anthropic, Gemini, Bedrock, Groq, and OpenRouter. Features vim-like editing, persistent SQLite sessions, and LSP integration for 40+ languages. Fully free with no vendor lock-in, it has rapidly grown to 95k+ GitHub stars.

OpenAI coding agent for app, editor, terminal, and cloud work

Codex is OpenAI's coding agent for software development across the Codex app, editor, terminal, and cloud tasks. It helps write, review, debug, refactor, and automate code, with ChatGPT plan access for managed surfaces and API-key usage for CLI, SDK, and IDE workflows. The open-source CLI and SDK support local repository work, while cloud features add GitHub review, Slack/Linear integrations, worktrees, skills, MCP, and automations.

Open-source desktop AI coworker for browsing and code execution.

Accomplish Coworker is an MIT-licensed open-source AI coworker that runs on the desktop, combining computer-use style browsing with code execution so agents can research, implement, run, and debug workflows in one local environment.

MCP gateway and integration catalog for AI agents

Executor is an MIT-licensed integration layer and MCP gateway for AI agents. It gives Claude Code, Cursor, Codex, and other MCP-speaking clients one endpoint for connected OpenAPI specs, GraphQL APIs, MCP servers, Google Discovery sources, and custom JavaScript tools, with local, cloud, and self-hosted deployment options for teams centralizing tool access.

Session reports for Claude Code and Codex runs

Spotlight by Backplanes turns completed Claude Code and Codex sessions into concise reports for engineering, security, and spend review. The CLI installs on macOS, Linux, or WSL 2, watches sessions after they finish, redacts PII and credentials locally before upload, then summarizes files touched, commands run, external domains reached, scope drift, risky actions, and next-session improvements.

Cross-agent messaging for CLI coding agents

agmsg is an MIT-licensed Bash and SQLite messaging layer for CLI coding agents. It lets Claude Code, Codex, Gemini CLI, GitHub Copilot CLI, Antigravity, OpenCode, Hermes, and other terminal agents exchange messages through a shared local database instead of relying on a human copy-paste relay. It is intentionally not MCP, not a broker, and not a subagent framework.

MCP server for controlling Windows desktops through UIAutomation

Windows-MCP is an open-source MCP server for giving AI agents structured access to Windows desktop automation. It focuses on UIAutomation, snapshots, input control, and Windows-specific app workflows, making it different from general filesystem or shell MCP servers.

DeepSeek-native terminal coding agent with a Go rewrite and MCP support

Reasonix is an open-source terminal coding agent built around DeepSeek workflows, with a newer Go-based 1.0 line, MCP integration, repository-aware code understanding, and BYOK model usage. It fits developers who want a DeepSeek-first CLI agent rather than a Claude- or OpenAI-native workflow.

Google’s open-source Kubernetes assistant that translates natural-language intent into precise cluster operations.

kubectl-ai is an AI-powered Kubernetes assistant from Google Cloud Platform. It acts as an intelligent interface for cluster work, translating operator intent into Kubernetes commands and workflows. The key distinction from reactive diagnosis tools is that kubectl-ai is designed as an interactive natural-language interface for planning and executing Kubernetes operations, with provider configuration and MCP-oriented workflows around the CLI.

Self-hosted proxy API for routing AI CLI accounts into OpenAI-compatible endpoints

CLIProxyAPI is an open-source Go proxy server that wraps Gemini CLI, Claude Code, OpenAI Codex, Grok Build, and related CLI account flows behind OpenAI/Gemini/Claude-compatible API endpoints. Use it carefully: it can touch OAuth sessions, auth files, logs, and provider account policies, so production use needs credential and ToS review.

Community Grok terminal agent for xAI-powered coding and command-line workflows

Grok CLI is a community command-line interface for using xAI/Grok models from a terminal workflow. It fits developers who want a lightweight, scriptable Grok surface for coding help, command-line experiments, and local agent-style interactions without waiting for a heavier IDE integration. For aicoolies, it belongs in the fast-growing AI CLI agents lane beside Grok Build, Claude Code, Codex, Gemini CLI, and Qwen Code.

xAI's terminal coding agent with parallel subagents and worktree-aware automation

Grok Build is xAI's terminal-first coding agent for planning, editing, testing, and reviewing code from a local CLI. The early beta exposes subagent controls, worktree mode, headless JSON output, best-of-N parallel attempts, sandbox profiles, and experimental memory. It fits developers comparing Claude Code, Codex, and Gemini CLI for local agentic workflows with deeper parallel execution.

See where your AI coding tokens actually go

Open-source TUI dashboard and CLI that shows where your AI coding tokens actually go, broken down by task type, tool, model, MCP server, and project. CodeBurn reads local session data directly from Claude Code, Codex, Cursor, OpenCode, Pi, and GitHub Copilot — no wrapper, proxy, or API keys — and layers on one-shot success rates so you can see whether the AI nails work first try or burns budget on edit/test/fix retries. Ships with a macOS menu bar widget and CSV/JSON export.

Fast async link checker written in Rust

Lychee is a fast, asynchronous link checker written in Rust that finds broken URLs and email addresses in Markdown, HTML, reStructuredText, and websites. Available as a CLI tool, Rust library, and GitHub Action, it validates links with configurable concurrency, rate limiting, and retry logic. Supports GitHub token authentication for API rate limit avoidance and can check both internal file links and external HTTP endpoints across entire repositories or websites.

CLI token usage tracker for AI coding agents

Tokscale is a CLI tool that tracks token usage and costs across AI coding agents including Claude Code, Codex, OpenCode, Gemini CLI, Cursor, and more. Built with a native Rust core for high-performance processing, it provides detailed breakdowns of input, output, cache, and reasoning tokens with real-time pricing calculations via LiteLLM data. Features include interactive 2D/3D contribution graphs, web visualization dashboards, global leaderboards, and JSON export for cost analysis.

Build native Node.js addons in Rust via Node-API

napi-rs is a framework for building compiled Node.js native addons in Rust through the Node-API interface, eliminating node-gyp and C++ toolchains. It provides async/await with Promise integration, extensive type mappings between Rust and JavaScript, and cross-compilation to Windows, macOS, Linux, FreeBSD, and Android across x64, ARM, and RISC-V. Used by major JS tooling projects, napi-rs enables Rust-speed performance in Node.js apps.

High-performance Rust JavaScript toolchain

Oxc is a high-performance collection of JavaScript and TypeScript tools written in Rust by the VoidZero team. It includes a parser, linter, formatter, transpiler, minifier, and module resolver that run 50x faster than their JS equivalents. Oxc powers Rolldown and integrates with Vite, forming the backbone of a unified Rust-based toolchain. With 20K+ GitHub stars and MIT license, it provides drop-in replacements for ESLint, Prettier, and Babel with dramatic speed gains.

Modern lodash alternative with TypeScript

es-toolkit is a modern JavaScript utility library by Korean fintech Toss, built as a high-performance Lodash replacement. With TypeScript-first design and full tree-shaking support, it cuts bundle sizes by up to 97 percent. Provides utility functions for arrays, objects, strings, and async operations with 2-3x better runtime performance. Includes an es-toolkit/compat layer for seamless migration from Lodash without rewriting existing codebases.

Instant isolated dev environments powered by Nix

Devbox is an open-source command-line tool that creates instant, reproducible development environments using Nix packages without requiring you to learn Nix. Define your project dependencies in a simple devbox.json file and get isolated shells with access to over 400,000 package versions. It eliminates dependency conflicts between projects and ensures every team member works in an identical environment, with support for devcontainers, Docker, and cloud deployment.

Modular AI prompt framework for everyday tasks

Fabric is an open-source framework that organizes AI prompts into reusable patterns for solving everyday tasks like summarizing content, explaining code, extracting insights from videos, and generating social media posts. Written in Go with support for 20+ AI providers including OpenAI, Claude, Gemini, and Ollama, it runs from the command line and can serve as a REST API. With 40,000+ GitHub stars, Fabric bridges the gap between AI capabilities and practical workflow automation.