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l0ng-ai/tty7

The terminal that outlives its window. Shells survive quitting the app, agents can drive other agents, and remote machines work the same way. Pure Rust, GPU-rendered.

Rust ◇ ai-agents Apache-2.0
★1.3KSTARS
⑂101FORKS
!57ISSUES
🏆#5,538GLOBAL RANK
🔥4DAYS TRENDING
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Momentum

+31

STARS · LAST 30 DAYS

1

PER DAY

#553

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+7+31+90
Per day111
Forks gained+1+3+10

tty7 gained 31 stars in the last 30 days, about 1 a day, and now has 1.3K. It is about 1 year old and has averaged roughly 1.3K stars a year. It ranks #553 among Rust repositories and #5,538 across all languages on GitHubRepo.

Trending Record

tty7 has maintained a continuous presence across global trending indexes, peaking at #6951. Below is the 30-day activity profile:

💡 Overview

tty7 is an open-source project written in Rust: The terminal that outlives its window. Shells survive quitting the app, agents can drive other agents, and remote machines work the same way. Pure Rust, GPU-rendered.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, alacritty, claude-code. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Rust for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ cargo install tty7

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

tty7 coordinates its core functionality through a modular Rust pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with tty7.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install tty7 using your package manager: `cargo install tty7`

2

Initialize your project workspace or configuration file for tty7.

3

Import tty7 into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `tty7 --help` to verify successful setup.

👍 Strengths

Active community backing with 1,259 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Rust for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Rust and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

l0ng-ai/tty7 is currently ranked #5,538 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,533 facebook/mariana-trench C++ ★ 1.3K Compare ↗
#5,533 jdx/hk Rust ★ 1.3K Compare ↗
#5,533 autonomous-ai/openharness TypeScript ★ 1.3K Compare ↗
#5,536 shopperlabs/shopper PHP ★ 1.3K Compare ↗
#5,536 mongodb/kingfisher Rust ★ 1.3K Compare ↗
#5,538 l0ng-ai/tty7 This Project Rust ★ 1.3K
#5,538 sebastianbergmann/complexity PHP ★ 1.3K Compare ↗
#5,538 ChesterRa/cccc Rust ★ 1.3K Compare ↗
#5,541 HearthSim/HSTracker Swift ★ 1.3K Compare ↗
#5,541 unstablebuild/rune Go ★ 1.3K Compare ↗
#5,543 meta-pytorch/attention-gym Python ★ 1.3K Compare ↗
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Frequently Asked Questions

What does tty7 do? +

The terminal that outlives its window. Shells survive quitting the app, agents can drive other agents, and remote machines work the same way. Pure Rust, GPU-rendered.

What language is tty7 written in? +

The primary language is Rust. Topics include: ai-agents, alacritty, claude-code, coding-agent, cross-platform.

Is tty7 actively maintained? +

Yes, the last recorded push was on Oct 15, 2026 with 57 open issues being tracked.

How many stars does tty7 have? +

tty7 has 1,259 stars and 101 forks on GitHub.

How does tty7 rank among GitHub repositories? +

With 1,259 stars, l0ng-ai/tty7 is ranked #5,538 globally across all repositories tracked on GitHubRepo and #553 among Rust projects.

What license is tty7 distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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