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ohdearquant
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ohdearquant/lionagi

An intelligence orchestra

Python ◇ agents Apache-2.0
★409STARS
⑂83FORKS
!205ISSUES
🏆#6,026GLOBAL RANK
🔥1DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#739

MOST-STARRED Python

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

lionagi gained 10 stars in the last 30 days, about 1 a day, and now has 409. It is about 3 years old and has averaged roughly 136 stars a year. It ranks #739 among Python repositories and #6,026 across all languages on GitHubRepo.

Trending Record

lionagi has maintained a continuous presence across global trending indexes, peaking at #5896. Below is the 30-day activity profile:

💡 Overview

lionagi is an open-source project written in Python: An intelligence orchestra.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, ai, automation. 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 lionagi

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

lionagi 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 lionagi.

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 lionagi using your package manager: `pip install lionagi`

2

Initialize your project workspace or configuration file for lionagi.

3

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

4

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

👍 Strengths

Active community backing with 409 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

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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

ohdearquant/lionagi is currently ranked #6,026 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,018 opentofu/registry Go ★ 410 Compare ↗
#6,018 ViaVersionAddons/ViaBedrock Java ★ 410 Compare ↗
#6,018 ShaftHQ/SHAFT_ENGINE Java ★ 410 Compare ↗
#6,018 hiero-ledger/hiero-consensus-node Java ★ 410 Compare ↗
#6,018 MrAntares/roBrowserLegacy JavaScript ★ 410 Compare ↗
#6,026 ohdearquant/lionagi This Project Python ★ 409
#6,026 toastdriven/itty Python ★ 409 Compare ↗
#6,026 ooc-lang/rock ooc ★ 409 Compare ↗
#6,026 horatio-sans-serif/redis-node-client JavaScript ★ 409 Compare ↗
#6,026 ReactiveMongo/Play-ReactiveMongo Scala ★ 409 Compare ↗
#6,026 agentclientprotocol/registry — ★ 409 Compare ↗

Frequently Asked Questions

What does lionagi do? +

An intelligence orchestra

What language is lionagi written in? +

The primary language is Python. Topics include: agents, ai, automation, data, llm.

Is lionagi actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 205 open issues being tracked.

How many stars does lionagi have? +

lionagi has 409 stars and 83 forks on GitHub.

How does lionagi rank among GitHub repositories? +

With 409 stars, ohdearquant/lionagi is ranked #6,026 globally across all repositories tracked on GitHubRepo and #739 among Python projects.

What license is lionagi distributed under? +

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

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