[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-4809":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":23,"hasPages":25,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":35,"readmeContent":36,"aiSummary":37,"trendingCount":16,"starSnapshotCount":16,"syncStatus":38,"lastSyncTime":39,"discoverSource":40},4809,"waveterm","wavetermdev\u002Fwaveterm","wavetermdev","An open-source, AI-integrated, cross-platform terminal for seamless workflows","https:\u002F\u002Fwww.waveterm.dev",null,"Go",21184,1033,77,409,0,50,165,860,204,44.04,"Apache License 2.0",false,"main",true,[27,28,29,30,31,32,33,34],"command-line","developer-tools","linux","macos","productivity","terminal","terminal-emulators","windows","2026-06-12 02:01:04","\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fwww.waveterm.dev\">\n\t\u003Cpicture>\n\t\t\u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\".\u002Fassets\u002Fwave-dark.png\">\n\t\t\u003Csource media=\"(prefers-color-scheme: light)\" srcset=\".\u002Fassets\u002Fwave-light.png\">\n\t\t\u003Cimg alt=\"Wave Terminal Logo\" src=\".\u002Fassets\u002Fwave-light.png\" width=\"240\">\n\t\u003C\u002Fpicture>\n  \u003C\u002Fa>\n  \u003Cbr\u002F>\n\u003C\u002Fp>\n\n# Wave Terminal\n\n\u003Cdiv align=\"center\">\n\n[English](README.md) | [한국어](README.ko.md) | [繁體中文](README.zh-TW.md)\n\n\u003C\u002Fdiv>\n\n[![FOSSA Status](https:\u002F\u002Fapp.fossa.com\u002Fapi\u002Fprojects\u002Fgit%2Bgithub.com%2Fwavetermdev%2Fwaveterm.svg?type=shield)](https:\u002F\u002Fapp.fossa.com\u002Fprojects\u002Fgit%2Bgithub.com%2Fwavetermdev%2Fwaveterm?ref=badge_shield)\n\nWave 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.\n\nWave 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.\n\n![WaveTerm Screenshot](.\u002Fassets\u002Fwave-screenshot.webp)\n\n## Key Features\n\n- Wave AI - Context-aware terminal assistant that reads your terminal output, analyzes widgets, and performs file operations\n- Durable SSH Sessions - Remote terminal sessions survive connection interruptions, network changes, and Wave restarts with automatic reconnection\n- Flexible drag & drop interface to organize terminal blocks, editors, web browsers, and AI assistants\n- Built-in editor for editing remote files with syntax highlighting and modern editor features\n- Rich file preview system for remote files (markdown, images, video, PDFs, CSVs, directories)\n- Quick full-screen toggle for any block - expand terminals, editors, and previews for better visibility, then instantly return to multi-block view\n- AI chat widget with support for multiple models (OpenAI, Claude, Azure, Perplexity, Ollama)\n- Command Blocks for isolating and monitoring individual commands\n- One-click remote connections with full terminal and file system access\n- Secure secret storage using native system backends - store API keys and credentials locally, access them across SSH sessions\n- Rich customization including tab themes, terminal styles, and background images\n- Powerful `wsh` command system for managing your workspace from the CLI and sharing data between terminal sessions\n- Connected file management with `wsh file` - seamlessly copy and sync files between local and remote SSH hosts\n\n## Wave AI\n\nWave AI is your context-aware terminal assistant with access to your workspace:\n\n- **Terminal Context**: Reads terminal output and scrollback for debugging and analysis\n- **File Operations**: Read, write, and edit files with automatic backups and user approval\n- **CLI Integration**: Use `wsh ai` to pipe output or attach files directly from the command line\n- **BYOK Support**: Bring your own API keys for OpenAI, Claude, Gemini, Azure, and other providers\n- **Local Models**: Run local models with Ollama, LM Studio, and other OpenAI-compatible providers\n- **Free Beta**: Included AI credits while we refine the experience\n- **Coming Soon**: Command execution (with approval)\n\nLearn more in our [Wave AI documentation](https:\u002F\u002Fdocs.waveterm.dev\u002Fwaveai) and [Wave AI Modes documentation](https:\u002F\u002Fdocs.waveterm.dev\u002Fwaveai-modes).\n\n## Installation\n\nWave Terminal works on macOS, Linux, and Windows.\n\nPlatform-specific installation instructions can be found [here](https:\u002F\u002Fdocs.waveterm.dev\u002Fgettingstarted).\n\nYou can also install Wave Terminal directly from: [www.waveterm.dev\u002Fdownload](https:\u002F\u002Fwww.waveterm.dev\u002Fdownload).\n\n### Minimum requirements\n\nWave Terminal runs on the following platforms:\n\n- macOS 11 or later (arm64, x64)\n- Windows 10 1809 or later (x64)\n- Linux based on glibc-2.28 or later (Debian 10, RHEL 8, Ubuntu 20.04, etc.) (arm64, x64)\n\nThe WSH helper runs on the following platforms:\n\n- macOS 11 or later (arm64, x64)\n- Windows 10 or later (x64)\n- Linux Kernel 2.6.32 or later (x64), Linux Kernel 3.1 or later (arm64)\n\n## Roadmap\n\nWave is constantly improving! Our roadmap will be continuously updated with our goals for each release. You can find it [here](.\u002FROADMAP.md).\n\nWant to provide input to our future releases? Connect with us on [Discord](https:\u002F\u002Fdiscord.gg\u002FXfvZ334gwU) or open a [Feature Request](https:\u002F\u002Fgithub.com\u002Fwavetermdev\u002Fwaveterm\u002Fissues\u002Fnew\u002Fchoose)!\n\n## Links\n\n- Homepage — https:\u002F\u002Fwww.waveterm.dev\n- Download Page — https:\u002F\u002Fwww.waveterm.dev\u002Fdownload\n- Documentation — https:\u002F\u002Fdocs.waveterm.dev\n- X — https:\u002F\u002Fx.com\u002Fwavetermdev\n- Discord Community — https:\u002F\u002Fdiscord.gg\u002FXfvZ334gwU\n\n## Building from Source\n\nSee [Building Wave Terminal](BUILD.md).\n\n## Contributing\n\nWave uses GitHub Issues for issue tracking.\n\nFind more information in our [Contributions Guide](CONTRIBUTING.md), which includes:\n\n- [Ways to contribute](CONTRIBUTING.md#contributing-to-wave-terminal)\n- [Contribution guidelines](CONTRIBUTING.md#before-you-start)\n\n### Sponsoring Wave ❤️\n\nIf Wave Terminal is useful to you or your company, consider sponsoring development.\n\nSponsorship helps support the time spent building and maintaining the project.\n\n- https:\u002F\u002Fgithub.com\u002Fsponsors\u002Fwavetermdev\n\n## License\n\nWave Terminal is licensed under the Apache-2.0 License. For more information on our dependencies, see [here](.\u002FACKNOWLEDGEMENTS.md).\n","Wave Terminal 是一个开源的、集成AI的跨平台终端工具，旨在为用户提供无缝的工作流体验。它支持macOS、Linux和Windows操作系统，并允许用户使用自定义的AI模型（如OpenAI、Claude等）来增强功能。核心功能包括持久化的SSH会话管理，即使在网络中断后也能自动重新连接；内置图形化文件编辑器及丰富的文件预览系统，使远程文件操作更加直观便捷；以及灵活的界面布局，支持拖拽式组织终端块、编辑器、网页浏览器和AI助手。此外，Wave还提供了强大的命令行工具`wsh`，用于工作区管理和数据共享。此项目非常适合需要高效远程开发环境或希望通过AI辅助提高生产力的专业开发者。",2,"2026-06-11 03:00:35","top_language"]