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Q00/ouroboros

Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.

Python ◇ agent-os MIT
★6.2KSTARS
⑂622FORKS
!88ISSUES
🏆#1,497GLOBAL RANK
🔥5DAYS TRENDING
🚀
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Momentum

+154

STARS · LAST 30 DAYS

5

PER DAY

#236

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+35+154+450
Per day555
Forks gained+3+12+31

ouroboros gained 154 stars in the last 30 days, about 5 a day, and now has 6.2K. It is about 1 year old and has averaged roughly 6.2K stars a year. It ranks #236 among Python repositories and #1,497 across all languages on GitHubRepo.

Trending Record

ouroboros has maintained a continuous presence across global trending indexes, peaking at #1012. Below is the 30-day activity profile:

💡 Overview

ouroboros is an open-source project written in Python: Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-os, agentic-ai, ai-agent. 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 ouroboros

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ouroboros 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 ouroboros.

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 ouroboros using your package manager: `pip install ouroboros`

2

Initialize your project workspace or configuration file for ouroboros.

3

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

4

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

👍 Strengths

Active community backing with 6,169 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

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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

Q00/ouroboros is currently ranked #1,497 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,492 chakra-ui/panda Rust ★ 6.2K Compare ↗
#1,492 TableProApp/TablePro Swift ★ 6.2K Compare ↗
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#1,495 todotxt/todo.txt-cli Shell ★ 6.2K Compare ↗
#1,496 vale-cli/vale Go ★ 6.2K Compare ↗
#1,497 Q00/ouroboros This Project Python ★ 6.2K
#1,498 MinishLab/semble Python ★ 6.2K Compare ↗
#1,499 obsidiandynamics/kafdrop Java ★ 6.2K Compare ↗
#1,500 Azure/Azure-Sentinel Python ★ 6.2K Compare ↗
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Frequently Asked Questions

What does ouroboros do? +

Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.

What language is ouroboros written in? +

The primary language is Python. Topics include: agent-os, agentic-ai, ai-agent, ai-coding-agent, claude-code.

Is ouroboros actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 88 open issues being tracked.

How many stars does ouroboros have? +

ouroboros has 6,169 stars and 622 forks on GitHub.

How does ouroboros rank among GitHub repositories? +

With 6,169 stars, Q00/ouroboros is ranked #1,497 globally across all repositories tracked on GitHubRepo and #236 among Python projects.

What license is ouroboros distributed under? +

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

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