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microsoft/prompty

Prompty makes it easy to create, manage, debug, and evaluate LLM prompts for your AI applications. Prompty is an asset class and format for LLM prompts designed to enhance observability, understandability, and portability for developers.

★1.3KSTARS
⑂128FORKS
!17ISSUES
🏆#4,175GLOBAL RANK
🔥1DAYS TRENDING
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+32

STARS · LAST 30 DAYS

1

PER DAY

#400

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+7+32+90
Per day111
Forks gained+1+3+10

prompty gained 32 stars in the last 30 days, about 1 a day, and now has 1.3K. It is about 2 years old and has averaged roughly 639 stars a year. It ranks #400 among Rust repositories and #4,175 across all languages on GitHubRepo.

Trending Record

prompty has maintained a continuous presence across global trending indexes, peaking at #5057. Below is the 30-day activity profile:

💡 Overview

prompty is an open-source project written in Rust: Prompty makes it easy to create, manage, debug, and evaluate LLM prompts for your AI applications. Prompty is an asset class and format for LLM prompts designed to enhance observability, understandability, and portability for developers. .

Engineered for speed, consistency, and developer ease, it solves common hurdles in generative-ai, llm-evaluation, llms. 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 prompty

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

prompty 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 prompty.

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 prompty using your package manager: `cargo install prompty`

2

Initialize your project workspace or configuration file for prompty.

3

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

4

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

👍 Strengths

Active community backing with 1,277 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

microsoft/prompty is currently ranked #4,175 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#4,170 appium/java-client Java ★ 1.3K Compare ↗
#4,170 gopher64/gopher64 Rust ★ 1.3K Compare ↗
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#4,172 pullfrog/pullfrog TypeScript ★ 1.3K Compare ↗
#4,174 ntfargo/Relapse-Exploit JavaScript ★ 1.3K Compare ↗
#4,175 microsoft/prompty This Project Rust ★ 1.3K
#4,175 mdn/express-locallibrary-tutorial JavaScript ★ 1.3K Compare ↗
#4,177 davetron5000/gli Ruby ★ 1.3K Compare ↗
#4,177 stasel/WebRTC-iOS Swift ★ 1.3K Compare ↗
#4,179 joshuafuller/ATAK-Maps Python ★ 1.3K Compare ↗
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Frequently Asked Questions

What does prompty do? +

Prompty makes it easy to create, manage, debug, and evaluate LLM prompts for your AI applications. Prompty is an asset class and format for LLM prompts designed to enhance observability, understandability, and portability for developers.

What language is prompty written in? +

The primary language is Rust. Topics include: generative-ai, llm-evaluation, llms, promptengineering, prompty.

Is prompty actively maintained? +

Yes, the last recorded push was on Oct 5, 2026 with 17 open issues being tracked.

How many stars does prompty have? +

prompty has 1,277 stars and 128 forks on GitHub.

How does prompty rank among GitHub repositories? +

With 1,277 stars, microsoft/prompty is ranked #4,175 globally across all repositories tracked on GitHubRepo and #400 among Rust projects.

What license is prompty distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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