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acoder-ai-infra/agenui-studio

Self-hosted studio for generating, previewing, binding, and shipping executable AGenUI interfaces with AI agents.

Go ◇ agentic-ui Apache-2.0
★79STARS
⑂2FORKS
!24ISSUES
🏆#18,575GLOBAL RANK
🔥19DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,890

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+2+10+90
Per day111
Forks gained+1+3+10

agenui-studio gained 10 stars in the last 30 days, about 1 a day, and now has 79. It is about 1 year old and has averaged roughly 79 stars a year. It ranks #1,890 among Go repositories and #18,575 across all languages on GitHubRepo.

Trending Record

agenui-studio has maintained a continuous presence across global trending indexes, peaking at #716. Below is the 30-day activity profile:

💡 Overview

agenui-studio is an open-source project written in Go: Self-hosted studio for generating, previewing, binding, and shipping executable AGenUI interfaces with AI agents.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-ui, agenui, ai-agents. 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 Go 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
$ go install github.com/acoder-ai-infra/agenui-studio@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

agenui-studio coordinates its core functionality through a modular Go 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 agenui-studio.

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 agenui-studio using your package manager: `go install github.com/acoder-ai-infra/agenui-studio@latest`

2

Initialize your project workspace or configuration file for agenui-studio.

3

Import agenui-studio into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 74 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Go 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 Go 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 Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

acoder-ai-infra/agenui-studio is currently ranked #18,575 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#18,546 capthvnsen/alans-way JavaScript ★ 80 Compare ↗
#18,546 johnzhaors-bit/pixelcrabs TypeScript ★ 80 Compare ↗
#18,546 vmaltarello/whyd Go ★ 80 Compare ↗
#18,546 SpaceDataRig/space-data-rig TypeScript ★ 80 Compare ↗
#18,546 gameboy829/PS5-LZ4-Game-Compressor C++ ★ 80 Compare ↗
#18,575 acoder-ai-infra/agenui-studio This Project Go ★ 79
#18,575 gabriel/capitate Ruby ★ 79 Compare ↗
#18,575 ghewgill/ljdump Python ★ 79 Compare ↗
#18,575 jorgeortiz85/scala-javautils Scala ★ 79 Compare ↗
#18,575 waninkoko/wad-manager C ★ 79 Compare ↗
#18,575 saymedia/python-simpledb Python ★ 79 Compare ↗
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Frequently Asked Questions

What does agenui-studio do? +

Self-hosted studio for generating, previewing, binding, and shipping executable AGenUI interfaces with AI agents.

What language is agenui-studio written in? +

The primary language is Go. Topics include: agentic-ui, agenui, ai-agents, data-binding, developer-tools.

Is agenui-studio actively maintained? +

Yes, the last recorded push was on Oct 8, 2026 with 24 open issues being tracked.

How many stars does agenui-studio have? +

agenui-studio has 79 stars and 2 forks on GitHub.

How does agenui-studio rank among GitHub repositories? +

With 79 stars, acoder-ai-infra/agenui-studio is ranked #18,575 globally across all repositories tracked on GitHubRepo and #1,890 among Go projects.

What license is agenui-studio distributed under? +

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

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