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omnigent-ai/omnigent

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.

Python ◇ agent-framework Apache-2.0
★10.3KSTARS
⑂1.6KFORKS
!1,502ISSUES
🏆#677GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for omnigent-ai/omnigent
CSV

Momentum

+257

STARS · LAST 30 DAYS

9

PER DAY

#118

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+63+257+810
Per day999
Forks gained+8+33+81

omnigent gained 257 stars in the last 30 days, about 9 a day, and now has 10.3K. It is about 1 year old and has averaged roughly 10.3K stars a year. It ranks #118 among Python repositories and #677 across all languages on GitHubRepo.

Trending Record

omnigent has maintained a continuous presence across global trending indexes, peaking at #159. Below is the 30-day activity profile:

💡 Overview

omnigent is an open-source project written in Python: Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-framework, agent-governance, agent-orchestration. 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 omnigent

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

omnigent 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 omnigent.

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 omnigent using your package manager: `pip install omnigent`

2

Initialize your project workspace or configuration file for omnigent.

3

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

4

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

👍 Strengths

Active community backing with 10,218 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.

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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

omnigent-ai/omnigent is currently ranked #677 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does omnigent do? +

Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.

What language is omnigent written in? +

The primary language is Python. Topics include: agent-framework, agent-governance, agent-orchestration, agents, ai.

Is omnigent actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 1,502 open issues being tracked.

How many stars does omnigent have? +

omnigent has 10,265 stars and 1,628 forks on GitHub.

How does omnigent rank among GitHub repositories? +

With 10,265 stars, omnigent-ai/omnigent is ranked #677 globally across all repositories tracked on GitHubRepo and #118 among Python projects.

What license is omnigent distributed under? +

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

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