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agentregistry-dev
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agentregistry-dev/agentregistry

Fast-track AI innovation with a centralized, trusted, curated registry

Go ◇ agents Apache-2.0
★507STARS
⑂94FORKS
!26ISSUES
🏆#7,285GLOBAL RANK
🔥5DAYS TRENDING
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Momentum

+13

STARS · LAST 30 DAYS

1

PER DAY

#790

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+7+13+90
Per day111
Forks gained+1+3+10

agentregistry gained 13 stars in the last 30 days, about 1 a day, and now has 507. It is about 1 year old and has averaged roughly 507 stars a year. It ranks #790 among Go repositories and #7,285 across all languages on GitHubRepo.

Trending Record

agentregistry has maintained a continuous presence across global trending indexes, peaking at #6855. Below is the 30-day activity profile:

💡 Overview

agentregistry is an open-source project written in Go: Fast-track AI innovation with a centralized, trusted, curated registry.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, ai, mcp. 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/agentregistry-dev/agentregistry@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

agentregistry 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 agentregistry.

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 agentregistry using your package manager: `go install github.com/agentregistry-dev/agentregistry@latest`

2

Initialize your project workspace or configuration file for agentregistry.

3

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

4

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

👍 Strengths

Active community backing with 507 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

agentregistry-dev/agentregistry is currently ranked #7,285 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#7,275 ExtendDB/extenddb Rust ★ 508 Compare ↗
#7,275 open-mercato/cezar TypeScript ★ 508 Compare ↗
#7,275 echoVic/orca-agent Rust ★ 508 Compare ↗
#7,275 JetBrains/thinkrail TypeScript ★ 508 Compare ↗
#7,275 DavidCarliez/trustmebro Go ★ 508 Compare ↗
#7,285 agentregistry-dev/agentregistry This Project Go ★ 507
#7,285 swiftwasm/WasmKit Swift ★ 507 Compare ↗
#7,285 apache/rocketmq-clients Java ★ 507 Compare ↗
#7,285 OpenGeometry-io/OpenGeometry Rust ★ 507 Compare ↗
#7,289 opencast/opencast Java ★ 506 Compare ↗
#7,289 pliron-org/pliron Rust ★ 506 Compare ↗

Frequently Asked Questions

What does agentregistry do? +

Fast-track AI innovation with a centralized, trusted, curated registry

What language is agentregistry written in? +

The primary language is Go. Topics include: agents, ai, mcp, registry, skills.

Is agentregistry actively maintained? +

Yes, the last recorded push was on Oct 6, 2026 with 26 open issues being tracked.

How many stars does agentregistry have? +

agentregistry has 507 stars and 94 forks on GitHub.

How does agentregistry rank among GitHub repositories? +

With 507 stars, agentregistry-dev/agentregistry is ranked #7,285 globally across all repositories tracked on GitHubRepo and #790 among Go projects.

What license is agentregistry distributed under? +

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

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