·
Which terminals have AI assistants built in, and how do they handle your data?
AI in the terminal is no longer novel - it is becoming table stakes. But there is a meaningful difference between terminals that have AI built in and terminals where you just run an AI CLI tool. And among the terminals with built-in AI, the approaches to privacy, provider choice, and integration vary significantly.
First, an important distinction. You can use AI in any terminal by running an AI CLI tool like Claude Code, Codex, or Gemini CLI. These tools run as processes in your shell - the terminal itself is not involved.
A terminal with built-in AI is different. The AI assistant is part of the terminal application. It can see your terminal output, understand the context of what you are doing, and provide help without you copying and pasting output into a separate tool.
Some terminals do both - they have a built-in AI assistant and also integrate well with standalone AI CLI tools.
Yaw's AI assistant lets you pick from 9 providers - including Claude, ChatGPT, Gemini, Grok, Mistral, Ollama, AWS Bedrock, OpenRouter, and HuggingFace - and talk to them with your own API keys. Every request goes straight from your machine to the provider. No relay servers, no data collection, no account signup. You can swap models mid-conversation or go fully offline with Ollama for air-gapped environments.
Where yaw stands out for AI workflows is context. Right-click an error or a block of output, hit Explain This or Fix This, and the AI sees exactly what your terminal saw - no manual copy-paste. Yaw also auto-detects AI CLI tools like Claude Code, Codex, Gemini CLI, and Vibe CLI, then opens a split-pane layout so the agent runs alongside a companion shell. Combined with Tailscale integration for quick connections to remote nodes, it turns the terminal into a single surface for AI-assisted ops across your entire infrastructure.
Providers: 9 (bring your own key) · Privacy: No usage tracking, direct-to-provider routing, keys stored locally · CLI tool support: Auto split pane for Claude Code, Codex, Gemini CLI · Extras: Built-in file editor, Tailscale integration
Warp has its own AI assistant (Warp AI) that helps with command suggestions, error explanations, and natural-language-to-command translation. The AI is well-integrated into the editing experience and works out of the box without any API key setup.
The trade-off is that AI requests go through Warp's infrastructure. You do not choose the model or provider. Warp dropped its blanket account requirement in late 2024 - the core terminal now runs without signing in - but Warp AI still requires an account, and usage telemetry is collected.
Providers: Warp AI (fixed) · Privacy: Account for AI features, telemetry collected, AI proxied · CLI tool support: Standard (no special integration)
iTerm2 includes a stable AI plugin (added in 3.6.9) that supports multiple providers. It is an optional add-on rather than a core feature, but it brings AI assistance to the most popular macOS terminal. You configure your own API keys and choose your provider.
Providers: Multiple (BYOK, via plugin) · Privacy: Direct to provider, no telemetry · CLI tool support: Standard
Wave Terminal is an open-source, cross-platform terminal (macOS, Linux, Windows) with AI built into its block-based interface. Wave AI is context-aware: it can read your terminal output and scrollback for debugging, and perform file operations with user approval. Like yaw, it is bring-your-own-key - OpenAI, Claude, Gemini, and Azure are supported - and it can run fully local models through Ollama or LM Studio. There is no subscription and no account requirement; telemetry is on by default but can be disabled.
Providers: Multiple (BYOK) plus local models · Privacy: No account, opt-out telemetry, keys stored locally · CLI tool support: Standard · Extras: Drag-and-drop blocks, built-in editor and file previews, durable SSH sessions
Microsoft's Windows Terminal now has AI through Terminal Chat, an experimental feature currently in the Windows Terminal Canary channel. It connects to GitHub Copilot, Azure OpenAI, or OpenAI, and suggests and explains commands with awareness of your active shell (PowerShell, CMD, WSL). GitHub Copilot Free accounts get a monthly allowance of chat messages, so you can try it without a paid plan. It is chat-only: no providers beyond those three services, and no local models.
Providers: GitHub Copilot, Azure OpenAI, OpenAI · Privacy: Requests go to the configured service; GitHub sign-in for Copilot · CLI tool support: Standard · Extras: Ships with Windows (Terminal Chat requires the Canary build)
Tabby (formerly Terminus) takes the plugin route: the open-source, Electron-based terminal has no built-in assistant, but community plugins add AI. Command-suggestion plugins let you ask for a command inline and get one back with an explanation, and the Tabby-MCP plugin turns Tabby into an MCP server so external AI agents can drive terminal sessions, tabs, and SSH profiles through the Model Context Protocol. Capability - and where your data goes - depends entirely on which plugin you install.
Providers: Varies by plugin · Privacy: No account; routing depends on plugin · CLI tool support: Standard · Extras: Plugin ecosystem, SSH and serial support, MCP server plugin
When evaluating AI in a terminal, consider:
| Feature | Yaw | Warp | iTerm2 | Wave | Windows Terminal | Tabby |
|---|---|---|---|---|---|---|
| AI providers | 9 (BYOK) | 1 (Warp AI) | Multiple (BYOK, plugin) | Multiple (BYOK) | Copilot / Azure OpenAI / OpenAI | Via plugins |
| Local models | Yes (Ollama) | No | No | Yes (Ollama, LM Studio) | No | Via plugins |
| Data routing | Direct to provider | Through Warp | Direct to provider | Direct to provider | To configured service | Depends on plugin |
| Terminal context | Yes | Yes | Yes | Yes | Yes (active shell) | Depends on plugin |
| CLI tool detection | Auto split pane | No | No | No | No | No |
| Account required | No | AI features only | No | No | GitHub account for Copilot | No |
| Built-in file editor | Yes | No | No | Yes | No | No |
| Usage tracking | None | Yes | None | Opt-out telemetry | Tied to Windows settings | - |
If provider flexibility and data privacy are non-negotiable - pick your model, keep your keys local, send nothing through a middleman - yaw is the strongest fit. If you want AI that works immediately with no setup, Warp's built-in approach is the most frictionless. If open source matters and you like the BYOK model, Wave Terminal is the closest alternative to yaw's approach. Windows-only teams can try Terminal Chat in the Canary channel without leaving Windows Terminal, and Tabby users can bolt AI on through plugins. If you are committed to iTerm2, its AI plugin now offers stable multi-provider support.
And if you rely on standalone AI CLI tools like Claude Code or Codex, any terminal can run them - but yaw is the only one that recognizes them on launch and builds a split-pane workflow around them automatically.
It depends on your constraints. If provider flexibility and privacy matter most, yaw lets you pick from nine providers with your own keys and routes requests directly to them. If you want zero setup, Warp AI works out of the box (with an account). If you want open source with bring-your-own-key, Wave Terminal is the closest alternative. iTerm2's AI plugin is the option if you are committed to iTerm2.
Yes - yaw and Wave Terminal both support Ollama, so prompts never leave your machine; Wave also supports LM Studio. Warp and Windows Terminal's Terminal Chat do not offer local models - their AI runs through hosted services.
It depends on the routing model. BYOK terminals like yaw, Wave Terminal, and iTerm2's plugin send requests directly from your machine to the AI provider you configured. Warp proxies AI requests through its own infrastructure. Windows Terminal's Terminal Chat sends chats to whichever service you connect (GitHub Copilot, Azure OpenAI, or OpenAI). Check the data-routing row in the comparison table before pasting anything sensitive.
Published by Yaw Labs.