tty7

Name: tty7
Author: l0ng-ai

Verified

A terminal workbench in pure Rust: shells, persistent sessions, SSH, coding agents. GPU-rendered on Zed's gpui, VT core from Alacritty.

736stars

53forks

Rust

Installation

# Add to your Claude Code skills
git clone https://github.com/l0ng-ai/tty7

Getting Started

Guides for using ai agents skills like tty7.

Caveman: Cut Claude Token Use by 65%
How agent-side prompt compression works, when to use it, and when not to.
What is an AI Skills Marketplace?
Definitions, how marketplaces work, and how to choose between them in 2026.
Getting Started with AI Skills

Security ReportVerified

Last scanned: 7/30/2026

{
  "issues": [],
  "status": "PASSED",
  "scannedAt": "2026-07-30T06:26:37.415Z",
  "npmAuditRan": true,
  "pipAuditRan": true,
  "promptInjectionRan": true
}

README.md

Frequently Asked Questions

What is tty7?

tty7 is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by l0ng-ai. A terminal workbench in pure Rust: shells, persistent sessions, SSH, coding agents. GPU-rendered on Zed's gpui, VT core from Alacritty. It has 736 GitHub stars.

Is tty7 safe to use?

Yes. tty7 passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install tty7?

Clone the repository with "git clone https://github.com/l0ng-ai/tty7" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is tty7 written in?

tty7 is primarily written in Rust. It is open-source under l0ng-ai on GitHub, so you can review or fork the full source.

Are there alternatives to tty7?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh tty7 against similar tools.

Agentic AI for Beginners

Build your first AI agent from scratch - tool use, ReAct pattern, memory, deployment

41 minBeginner

Comments (0)

to leave a comment.

No comments yet. Be the first to share your thoughts!

Related Skills

ECC

by affaan-m

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

240,740

Clauge capa

tty7

A terminal workbench: persistent sessions, remote work, agents.

Pure Rust · GPU rendering on Zed's gpui · VT core from Alacritty

English · 简体中文

Why

Performance — ~2× the throughput of Alacritty, Ghostty, or Kitty (benchmarks)
Persistent sessions — quit or reboot; your shells and supported agent sessions keep running, no tmux
Editor-grade input — suggestions, completion, highlighting, history search
Remote development — files, repos, panes, and git data stay on the remote machine
Native SSH — profiles, SFTP, port forwarding, and jump hosts
Agent-aware — Claude Code, Codex & co.: status, notifications, git context
CLI + Skills — agents create panes, run commands, and inspect output

Install

Native builds for macOS, Windows, and Linux on Releases:


macOS	`…-macos-arm64.dmg` · `…-x86_64.dmg`	drag into Applications
Windows	`…-setup.exe` · portable `….zip`
Linux	`…-x86_64.AppImage`	`chmod +x` and run — X11/Wayland libraries bundled

What's inside


Editor-grade input	ghost suggestions from history · explained tab completion · syntax highlighting · multi-line editing · click places the caret · ⌃ R fuzzy history
Window	tabs & splits · ⌘ P palette · ⌘ F scrollback search · nine themes · IME
Agent-aware	per-pane detection (18 CLIs): status dot · notifications · branch + diff · resume after reboot · tray icon when input is needed
Remote workspaces	remote files, repos, changes, diffs, worktrees, tabs, and panes · reconnect from any client and continue where you left off
CLI + Skills	bundled `tty7` CLI · agent skill · pane/workspace control · real PTY commands · output, process, port, and agent status
SSH	native russh stack: profiles with keychain secrets · SFTP panel · port forwarding · jump hosts · one-time, unprivileged `tty7-server` install

Full documentation lives in docs/ — keyboard shortcuts · config.json · CLI reference. The agent-facing CLI interface is also documented in skills/tty7/SKILL.md.

Install the skill with:

npx skills add l0ng-ai/tty7    # install
npx skills update tty7         # update later

Benchmarks

Same machine, same day, same 155×40 grid — Apple M1 Pro, macOS 26.3.1, five-run averages (2026-07-04):

	tty7	Alacritty	Ghostty	Kitty
Plaintext I/O — 11 MB `cat` (lower = better)	95 ms	239 ms	179 ms	185 ms
DOOM-fire frame rate (higher = better)	888 fps	485 fps	552 fps	617 fps
Cold-launch memory	116 MB¹	105 MB	128 MB	130 MB

¹ GUI 105 MB + the persistent server 11 MB.

Methodology and one-command reproduction: scripts/bench/.

Built on gpui and alacritty_terminal · Apache-2.0 · Discord · Changelog