@CycleDecoded: Programmers and terminal freebie hunters, look here — someone actually built this. In the past, writing code meant opening a bunch of windows, switching back and forth between the black Terminal, VSCode, browser, and ChatGPT until your hands were worn out. The open-source programmer project Wave Terminal (waveterm) directly combines the command line, ...

X AI KOLs Timeline 08/04/26, 09:34 AM Tools

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Summary

Introducing the open-source AI terminal Wave Terminal, which integrates the command line, editor, browser, and AI into one terminal, with support for inline previews, persistent SSH sessions, and multi-model access. It has received 22k+ Stars on GitHub.

Programmers and terminal freebie hunters, look here — someone actually built this. In the past, writing code meant opening a bunch of windows, switching back and forth between the black Terminal, VSCode, browser, and ChatGPT until your hands were about to fall off. The open-source programmer project Wave Terminal (waveterm) directly combines the command line, file editor, embedded browser, and native AI into one terminal. The craziest part is that even images, Markdown, and CSV tables can be rendered directly in the terminal. The stats are pretty solid: 22k+ Stars on GitHub, open source under Apache-2.0, supports macOS/Windows/Linux. No model restrictions — you can connect GPT-4, Claude, or use Ollama to run local models for free. Core highlights: VSCode editor built into the terminal: view code / edit remote files without switching windows, edit directly in the command line. Inline preview for everything: view CSV as tables, Markdown as rendered output, and even images and JSON directly in the terminal. Native AI agent assistance: Can't remember the parameters when writing a long script? Just have AI generate it natively or explain terminal error output. Network disconnect reconnection: After an SSH remote connection drops or your computer restarts, the previous terminal session and state are directly restored. Project links: GitHub: https://github.com/wavetermdev/waveterm… Website: https://waveterm.dev

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Programmers and free-tier terminal fans, look no further — someone actually built this thing. Back in the day, writing code meant juggling a dozen windows: black-box Terminal, VSCode, browser, ChatGPT, switching back and forth until your hands were worn out. The open-source project Wave Terminal (waveterm) stuffs the command line, a file editor, an embedded browser, and native AI all into one terminal. The wildest part: even images, Markdown, and CSV tables render directly in the terminal.

The numbers are seriously hardcore: 22k+ Stars on GitHub, Apache-2.0 open-source license, supports macOS/Windows/Linux. No model lock-in — you can hook up GPT-4, Claude, or run local models with Ollama for free.

Core selling points:

Built-in VSCode editor: view code / edit remote files without switching windows — edit directly from the command line.
Inline preview for everything: CSV as tables, Markdown rendered, even images and JSON display straight in the terminal.
Native AI agent assistance: can’t remember parameters when writing a long script? Just have the native AI generate it or explain terminal error output.
Reconnect after network drops: after an SSH remote connection drops or your computer restarts, previous terminal sessions and state are restored directly.

Project links: GitHub: https://github.com/wavetermdev/waveterm Official site: https://waveterm.dev

wavetermdev/waveterm Source: https://github.com/wavetermdev/waveterm

Wave Terminal English | 한국어 | 繁體中文

FOSSA Status (https://app.fossa.com/projects/git%2Bgithub.com%2Fwavetermdev%2Fwaveterm?ref=badge_shield)

Wave is an open-source, AI-integrated terminal for macOS, Linux, and Windows. It works with any AI model. Bring your own API keys for OpenAI, Claude, or Gemini, or run local models via Ollama and LM Studio. No accounts required. Wave also supports durable SSH sessions that survive network interruptions and restarts, with automatic reconnection. Edit remote files with a built-in graphical editor and preview files inline without leaving the terminal.

WaveTerm Screenshot

Key Features

Wave AI - Context-aware terminal assistant that reads your terminal output, analyzes widgets, and performs file operations
Durable SSH Sessions - Remote terminal sessions survive connection interruptions, network changes, and Wave restarts with automatic reconnection
Flexible drag & drop interface to organize terminal blocks, editors, web browsers, and AI assistants
Built-in editor for editing remote files with syntax highlighting and modern editor features
Rich file preview system for remote files (markdown, images, video, PDFs, CSVs, directories)
Quick full-screen toggle for any block - expand terminals, editors, and previews for better visibility, then instantly return to multi-block view
AI chat widget with support for multiple models (OpenAI, Claude, Azure, Perplexity, Ollama)
Command Blocks for isolating and monitoring individual commands
One-click remote connections with full terminal and file system access
Secure secret storage using native system backends - store API keys and credentials locally, access them across SSH sessions
Rich customization including tab themes, terminal styles, and background images
Powerful wsh command system for managing your workspace from the CLI and sharing data between terminal sessions
Connected file management with wsh file - seamlessly copy and sync files between local and remote SSH hosts

Wave AI

Wave AI is your context-aware terminal assistant with access to your workspace:

Terminal Context: Reads terminal output and scrollback for debugging and analysis
File Operations: Read, write, and edit files with automatic backups and user approval
CLI Integration: Use wsh ai to pipe output or attach files directly from the command line
BYOK Support: Bring your own API keys for OpenAI, Claude, Gemini, Azure, and other providers
Local Models: Run local models with Ollama, LM Studio, and other OpenAI-compatible providers
Free Beta: Included AI credits while we refine the experience
Coming Soon: Command execution (with approval)

Learn more in our Wave AI documentation (https://docs.waveterm.dev/waveai) and Wave AI Modes documentation (https://docs.waveterm.dev/waveai-modes).

Installation

Wave Terminal works on macOS, Linux, and Windows. Platform-specific installation instructions can be found here (https://docs.waveterm.dev/gettingstarted). You can also install Wave Terminal directly from: www.waveterm.dev/download (https://www.waveterm.dev/download).

Minimum requirements

Wave Terminal runs on the following platforms:

macOS 11 or later (arm64, x64)
Windows 10 1809 or later (x64)
Linux based on glibc-2.28 or later (Debian 10, RHEL 8, Ubuntu 20.04, etc.) (arm64, x64)

The WSH helper runs on the following platforms:

macOS 11 or later (arm64, x64)
Windows 10 or later (x64)
Linux Kernel 2.6.32 or later (x64), Linux Kernel 3.1 or later (arm64)

Roadmap

Wave is constantly improving! Our roadmap will be continuously updated with our goals for each release. You can find it here.

Want to provide input to our future releases? Connect with us on Discord (https://discord.gg/XfvZ334gwU) or open a Feature Request (https://github.com/wavetermdev/waveterm/issues/new/choose)!

Building from Source

See Building Wave Terminal.

Contributing

Wave uses GitHub Issues for issue tracking. Find more information in our Contributions Guide, which includes:

Sponsoring Wave ❤️

If Wave Terminal is useful to you or your company, consider sponsoring development. Sponsorship helps support the time spent building and maintaining the project.

https://github.com/sponsors/wavetermdev

License

Wave Terminal is licensed under the Apache-2.0 License. For more information on our dependencies, see here.