s-zx

s-zx / crest

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An open source, AI-native terminal.

44
2
100% credibility
Found Apr 21, 2026 at 44 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

Wave Terminal is an open-source terminal emulator featuring AI assistance, durable SSH connections, inline file editing, and rich previews without requiring accounts.

How It Works

1
🖥️ Discover Wave Terminal

You hear about a smart terminal that works with AI and download it from the website.

2
📥 Install and Launch

Run the installer for your computer and open the app to see a fresh workspace.

3
🤖 Link Your AI Helper

Connect a service like Claude or your local AI model so it can understand your work.

4
💻 Open a Shell or Connect Remotely

Start a local terminal or SSH to a server – sessions stay alive through drops.

5
✏️ Edit Files and Chat with AI

Preview files inline, edit remotely, and ask AI to explain output or fix issues.

🚀 Supercharged Terminal Life

Work faster with AI insights, reliable connections, and everything in one place.

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Star Growth

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AI-Generated Review

What is crest?

Crest is an AI-native terminal built in Go with an Electron frontend, reimagining the CLI experience as a flexible workspace of draggable blocks for terminals, editors, web views, and AI chats. It solves fragmented workflows by integrating durable SSH sessions that auto-reconnect, inline file previews for Markdown/images/PDFs, and a context-aware AI assistant that reads terminal output and handles file ops across any model like OpenAI, Claude, or local Ollama. Developers get a multi-platform (macOS/Linux/Windows) tool with no accounts needed—just bring your API keys.

Why is it gaining traction?

In the ai native terminal space on GitHub, crest stands out with its block-based layout for mixing shells, previews, and AI without tab-switching, plus wsh CLI commands for scripting workspaces across local/remote hosts. The hook is seamless AI integration—pipe output via `wsh ai` for instant analysis—paired with robust SSH durability that survives drops, appealing to devs ditching iTerm/Alacritty for something more visual and intelligent.

Who should use this?

Remote-heavy DevOps engineers managing SSH fleets will love the persistent sessions and file syncing. Full-stack devs debugging across terminals/editors/AI chats benefit from the drag-and-drop blocks. AI-native development GitHub enthusiasts experimenting with local models in a terminal workflow should try it for quick context-aware prompts.

Verdict

Worth a spin for ai native terminal fans, but at 44 stars and 1.0% credibility, it's early-stage—docs are solid via waveterm.dev, but expect rough edges in stability. Test on non-critical setups until it matures.

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