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kestra-io
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kestra-io/kestra

Event Driven Orchestration & Scheduling Platform for Mission Critical Applications

Java ◇ ai-agents Apache-2.0
★28.4KSTARS
⑂3.1KFORKS
!693ISSUES
🏆#340GLOBAL RANK
🔥1DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for kestra-io/kestra
CSV

Momentum

+710

STARS · LAST 30 DAYS

24

PER DAY

#13

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+168+710+2.2K
Per day242424
Forks gained+15+61+153

kestra gained 710 stars in the last 30 days, about 24 a day, and now has 28.4K. It is about 7 years old and has averaged roughly 4.1K stars a year. It ranks #13 among Java repositories and #340 across all languages on GitHubRepo.

Trending Record

kestra has maintained a continuous presence across global trending indexes, peaking at #1306. Below is the 30-day activity profile:

💡 Overview

kestra is an open-source project written in Java: Event Driven Orchestration & Scheduling Platform for Mission Critical Applications.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, automation, control-plane. 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 Java 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
$ git clone https://github.com/kestra-io/kestra.git
cd kestra

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

kestra coordinates its core functionality through a modular Java 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 kestra.

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 kestra using your package manager: `git clone https://github.com/kestra-io/kestra.git`

2

Initialize your project workspace or configuration file for kestra.

3

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

4

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

👍 Strengths

Active community backing with 28,389 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Java 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 Java 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

S

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G
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👥 Who Should Use This

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

🏆 Nearby in the Rankings

kestra-io/kestra is currently ranked #340 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#335 Anuken/Mindustry Java ★ 29.1K Compare ↗
#336 envoyproxy/envoy C++ ★ 29K Compare ↗
#337 rohitg00/agentmemory TypeScript ★ 29K Compare ↗
#338 srbhr/Resume-Matcher Python ★ 28.5K Compare ↗
#339 yamadashy/repomix TypeScript ★ 28.5K Compare ↗
#340 kestra-io/kestra This Project Java ★ 28.4K
#341 mobxjs/mobx TypeScript ★ 28.2K Compare ↗
#342 bagisto/bagisto PHP ★ 28.2K Compare ↗
#343 QwenLM/qwen-code TypeScript ★ 28.1K Compare ↗
#344 PrefectHQ/fastmcp Python ★ 27.9K Compare ↗
#345 eslint/eslint JavaScript ★ 27.5K Compare ↗

Frequently Asked Questions

What does kestra do? +

Event Driven Orchestration & Scheduling Platform for Mission Critical Applications

What language is kestra written in? +

The primary language is Java. Topics include: ai-agents, automation, control-plane, data-engineering, data-orchestration.

Is kestra actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 693 open issues being tracked.

How many stars does kestra have? +

kestra has 28,389 stars and 3,058 forks on GitHub.

How does kestra rank among GitHub repositories? +

With 28,389 stars, kestra-io/kestra is ranked #340 globally across all repositories tracked on GitHubRepo and #13 among Java projects.

What license is kestra distributed under? +

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

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