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Dstack-TEE
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Dstack-TEE/dstack

Open framework for confidential AI

Rust ◇ confidential-ai Apache-2.0
★553STARS
⑂97FORKS
!101ISSUES
🏆#3,481GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for Dstack-TEE/dstack
CSV

Momentum

+14

STARS · LAST 30 DAYS

1

PER DAY

#364

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+7+14+90
Per day111
Forks gained+1+3+10

dstack gained 14 stars in the last 30 days, about 1 a day, and now has 553. It is about 2 years old and has averaged roughly 277 stars a year. It ranks #364 among Rust repositories and #3,481 across all languages on GitHubRepo.

Trending Record

dstack has maintained a continuous presence across global trending indexes, peaking at #2050. Below is the 30-day activity profile:

💡 Overview

dstack is an open-source project written in Rust: Open framework for confidential AI.

Engineered for speed, consistency, and developer ease, it solves common hurdles in confidential-ai, confidential-computing, intel-tdx. 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 dstack

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

dstack 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 dstack.

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 dstack using your package manager: `cargo install dstack`

2

Initialize your project workspace or configuration file for dstack.

3

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

4

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

👍 Strengths

Active community backing with 551 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.

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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

Dstack-TEE/dstack is currently ranked #3,481 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#3,474 ancsemi/Haven JavaScript ★ 556 Compare ↗
#3,477 ZQuestClassic/ZQuestClassic C++ ★ 555 Compare ↗
#3,477 readium/swift-toolkit Swift ★ 555 Compare ↗
#3,477 HyperionGameTech/HyperionEngine C++ ★ 555 Compare ↗
#3,477 microsoft/Generative-AI-for-beginners-java Java ★ 555 Compare ↗
#3,481 Dstack-TEE/dstack This Project Rust ★ 553
#3,481 SimonCropp/WinDebloat C# ★ 553 Compare ↗
#3,483 celestiaorg/celestia-core Go ★ 552 Compare ↗
#3,483 thomhurst/ModularPipelines C# ★ 552 Compare ↗
#3,485 jnunemaker/crack Ruby ★ 551 Compare ↗
#3,485 OpenVK/openvk PHP ★ 551 Compare ↗

Frequently Asked Questions

What does dstack do? +

Open framework for confidential AI

What language is dstack written in? +

The primary language is Rust. Topics include: confidential-ai, confidential-computing, intel-tdx, private-ai, safe-ai.

Is dstack actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 101 open issues being tracked.

How many stars does dstack have? +

dstack has 553 stars and 97 forks on GitHub.

How does dstack rank among GitHub repositories? +

With 553 stars, Dstack-TEE/dstack is ranked #3,481 globally across all repositories tracked on GitHubRepo and #364 among Rust projects.

What license is dstack distributed under? +

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

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