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Tracer-Cloud
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Tracer-Cloud/opensre

Build your own AI SRE agents. The open source toolkit for the AI era.

Python ◇ ai-sre Apache-2.0
★11.3KSTARS
⑂1.6KFORKS
!54ISSUES
🏆#1,082GLOBAL RANK
🔥10DAYS TRENDING
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Momentum

+282

STARS · LAST 30 DAYS

9

PER DAY

#172

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+282+810
Per day199
Forks gained+0+33+82

opensre gained 282 stars in the last 30 days, about 9 a day, and now has 11.3K. It is about 1 year old and has averaged roughly 11.3K stars a year. It ranks #172 among Python repositories and #1,082 across all languages on GitHubRepo.

Trending Record

opensre has maintained a continuous presence across global trending indexes, peaking at #2152. Below is the 30-day activity profile:

💡 Overview

opensre is an open-source project written in Python: Build your own AI SRE agents. The open source toolkit for the AI era.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-sre, alerting, datadog. 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 Python 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
$ pip install opensre

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

opensre coordinates its core functionality through a modular Python 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 opensre.

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 opensre using your package manager: `pip install opensre`

2

Initialize your project workspace or configuration file for opensre.

3

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

4

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

👍 Strengths

Active community backing with 11,283 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python 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 Python 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

💡
Open Source Alternative to Datadog Replaces proprietary subscriptions ($15–$23 per host/month + data retention & ingest billing) with self-hosted freedom.
Explore all Datadog alternatives →
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A collective list of free APIs

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H
NousResearch/hermes-agent ★ 250.4K Python

The agent that grows with you

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

Tracer-Cloud/opensre is currently ranked #1,082 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,077 apereo/cas Java ★ 11.4K Compare ↗
#1,078 facebook/hermes JavaScript ★ 11.4K Compare ↗
#1,079 loft-sh/vcluster Go ★ 11.3K Compare ↗
#1,080 google/go-github Go ★ 11.3K Compare ↗
#1,081 siderolabs/talos Go ★ 11.3K Compare ↗
#1,082 Tracer-Cloud/opensre This Project Python ★ 11.3K
#1,083 podman-container-tools/skopeo Go ★ 11.3K Compare ↗
#1,084 wandb/wandb Python ★ 11.3K Compare ↗
#1,085 DmitryBaranovskiy/raphael JavaScript ★ 11.3K Compare ↗
#1,086 dotansimha/graphql-code-generator TypeScript ★ 11.3K Compare ↗
#1,087 tui-cs/Terminal.Gui C# ★ 11.2K Compare ↗

Frequently Asked Questions

What does opensre do? +

Build your own AI SRE agents. The open source toolkit for the AI era.

What language is opensre written in? +

The primary language is Python. Topics include: ai-sre, alerting, datadog, grafana, incident-management.

Is opensre actively maintained? +

Yes, the last recorded push was on Sep 30, 2026 with 54 open issues being tracked.

How many stars does opensre have? +

opensre has 11,283 stars and 1,649 forks on GitHub.

How does opensre rank among GitHub repositories? +

With 11,283 stars, Tracer-Cloud/opensre is ranked #1,082 globally across all repositories tracked on GitHubRepo and #172 among Python projects.

What license is opensre distributed under? +

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

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