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by contember · Agent Tool · ★ 96
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Okena A fast, native terminal multiplexer built in Rust with GPUI (the UI framework from Zed editor). Tabs, splits, detachable windows, command palette, and automatic workspace restore. Installation macOS Linux Windows The install script includes built-in auto-update support. On macOS and Linux, Okena is installed to . On Windows, it installs to with a Start Menu shortcut. Features Layout & Window Management Split panes - Horizontal and vertical splits with drag-to-resize dividers Tabs - Organize terminals in tabbed containers with reordering support Detachable windows - Pop out any terminal into a separate floating window and reattach later Fullscreen mode - Focus on a single terminal with next/previous cycling Minimize/restore - Collapse terminals to their header to save space Per-terminal zoom - Adjust zoom level (0.5x to 3.0x) independently per terminal Directional focus navigation - Move focus between panes us
| Stars | 96 |
| Forks | 13 |
| Language | Rust |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72.629245463814/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-21 |
| Created | 2026-01-16 |
| Platforms | rust |
| Est. Tokens | ~24k |
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okena is A fast, native terminal multiplexer built in Rust with GPUI (the UI framework from Zed editor). Tabs, splits, detachable windows, command palette, and automatic workspace restore.. It is categorized as a Agent Tool with 96 GitHub stars.
okena is primarily written in Rust. It covers topics such as ai, ai-tools, rust.
You can find installation instructions and usage details in the okena GitHub repository at github.com/contember/okena. The project has 96 stars and 13 forks, indicating an active community.
okena is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to okena on Agent Skills Hub include bridle, toktrack, mcp-ssh. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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