Terminal & CLI Tools

The modern terminal with AI

GPU-accelerated terminal built in Rust, now evolved into an Agentic Development Environment (ADE) used by 700K+ developers. Features block-based output navigation, AI command suggestions via the Oz orchestration engine, multi-line editing with syntax highlighting, and a built-in code editor with LSP support. Available on macOS, Linux, and Windows. Includes Warp Drive for sharing workflows, real-time session collaboration, and BYOK support for OpenAI, Anthropic, and Google API keys.

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.

Minimal terminal coding harness

Pi is an open-source minimalist coding agent built by Mario Zechner that runs in the terminal with an intentionally lean design — just four core tools (read, write, edit, bash) and a ~300-word system prompt. It treats the context window as scarce, omits sub-agents and MCP by default, and pushes extensibility to TypeScript extensions, skills, and prompt templates developers build for their own needs. A radical counterpoint to bloated AI coding tools.

Enterprise-grade AI coding agent system by Factory

System of specialized AI Droids — Code, Knowledge, Reliability, and Product — each optimized for specific development tasks. Ranked #1 on Terminal-Bench with 58.75% score. BYOK model with support for Anthropic and OpenAI models. Enterprise-focused approach that treats AI coding as a team of specialized agents rather than a single general-purpose assistant.

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.

Agentic coding tool by Sourcegraph (formerly Cody)

Frontier coding agent from Sourcegraph that runs in the terminal and as IDE extensions for VS Code, Cursor, Windsurf, and JetBrains. Amp wields the strongest available models — Claude, GPT, and Gemini frontier tiers — with no token caps or context window throttling. Built around full-fidelity tool use, multi-file edits, oracle-style planning subagents, and team-shared threads. Token-based pricing with no subscription tier; pay only for the model usage you trigger.

OpenAI's agentic coding CLI and cloud sandbox

OpenAI's cloud-based AI coding agent powered by codex-1 (a version of o3 optimized for software engineering). Autonomously writes features, fixes bugs, and proposes pull requests, with each task running in its own sandboxed environment preloaded with your repository. Teams can deploy multiple agents in parallel to work on independent tasks, with MCP integration and AGENTS.md for repo-specific instructions.

MCP, ACP and Skills support for building production coding agents — interactive or automated.

fast-agent is an Apache-licensed Python framework for building and running LLM agents with full MCP (Model Context Protocol) and ACP support. It ships with an interactive shell mode, Skills management, and multi-model routing — making it a practical platform for coding agents, workflow automation, and agent evaluation across Claude, Codex, HuggingFace, and local models.

Cut Claude Code token costs by up to 50% with a local plugin that never uploads your code.

WOZCODE is a Claude Code plugin that reduces token consumption by 25–55% using smarter context reads, batched file edits, AST truncation, and Haiku subagents. It installs in seconds with two CLI commands, runs entirely locally with no code upload, and requires no account sign-up. Developers report finishing the same tasks in fewer tokens without changing their existing editor or workflow.

Self-evolving local computer agent with a reusable skill tree

GenericAgent is a minimal, self-evolving autonomous agent in roughly 3K lines of Python that gives LLMs system-level control of a local computer. It writes files, runs shell commands, and browses the web, but its defining feature is skill crystallization: successful task runs are saved as reusable skills inside a growing skill tree that cuts token cost on repeats.

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.

Personal AI agent in your terminal with local tool access

gptme is one of the earliest terminal-based AI agent CLIs, launched in spring 2023. It equips a personal AI agent with local tools to run shell commands, write and edit code, browse the web via Playwright, and use vision capabilities. Supports MCP integration and an extensible plugin system for building persistent autonomous agents. The reference agent Bob has completed over 1700 sessions.

Persistent structured memory layer for AI coding agents

ByteRover CLI provides a persistent, structured memory layer for AI coding agents. It lets you curate project knowledge into a context tree that syncs to the cloud and shares across tools and teammates. Supports 20+ LLM providers with 24 built-in agent tools for code execution, file operations, and memory management. Achieves 96.1% accuracy on the LoCoMo benchmark. SOC 2 Type II certified.

Hot-swap between local LLM models via OpenAI-compatible API

llama-swap is an open-source tool that manages multiple local LLM models behind a single OpenAI-compatible API endpoint. It automatically loads and unloads models on demand, letting developers hot-swap between different models without restarting services. With 3.1K+ GitHub stars, it solves the common pain point of running multiple specialized models on limited hardware.

Fastest file search toolkit for AI agents and Neovim

fff.nvim (freakin fast fuzzy) is a high-performance file search toolkit for AI agents, Neovim, Rust, C, and NodeJS. Hybrid architecture with Lua frontend and Rust backend delivers sub-10ms search across 50K+ file codebases. Uses frecency memory combining frequency, recency, git status, and definition matches to surface the most relevant files for AI coding workflows.

Self-hosted SSH and server management platform

Termix is a self-hosted SSH and server management platform that provides a modern web-based terminal, connection management, SFTP file transfer, and multi-device sync without subscription fees. It serves as an open-source alternative to Termius, offering team collaboration features, connection sharing, and a clean interface for managing SSH connections across servers, all deployable via Docker.

Cross-machine dotfile manager with template support and encryption

Chezmoi manages dotfiles across multiple machines with template support for machine-specific configuration, secret encryption, and integration with password managers. It handles the complexity of maintaining consistent development environments across work laptops, personal machines, and servers. Over 15,000 GitHub stars with support for 1Password, Bitwarden, LastPass, and gpg encryption.