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mvanhorn
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mvanhorn/agent-tincan

Let your AI agents ask each other for help, over Tailscale. Wherever they run.

★126STARS
⑂9FORKS
!2ISSUES
🏆#6,150GLOBAL RANK
🔥3DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for mvanhorn/agent-tincan
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#608

MOST-STARRED Go

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

agent-tincan gained 10 stars in the last 30 days, about 1 a day, and now has 126. It is about 1 year old and has averaged roughly 126 stars a year. It ranks #608 among Go repositories and #6,150 across all languages on GitHubRepo.

Trending Record

agent-tincan has maintained a continuous presence across global trending indexes, peaking at #230. Below is the 30-day activity profile:

💡 Overview

agent-tincan is an open-source project written in Go: Let your AI agents ask each other for help, over Tailscale. Wherever they run.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Go. 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/mvanhorn/agent-tincan@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

agent-tincan 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

Production System Integration

Embed agent-tincan into Go backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install agent-tincan using your package manager: `go install github.com/mvanhorn/agent-tincan@latest`

2

Initialize your project workspace or configuration file for agent-tincan.

3

Import agent-tincan into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 126 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

mvanhorn/agent-tincan is currently ranked #6,150 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,134 relizaio/rearm Java ★ 127 Compare ↗
#6,134 reshaprio/reshapr Java ★ 127 Compare ↗
#6,134 plannotator/plannotator-tui Rust ★ 127 Compare ↗
#6,134 carlelieser/yuki Kotlin ★ 127 Compare ↗
#6,134 XulongT/CustomDance Python ★ 127 Compare ↗
#6,150 mvanhorn/agent-tincan This Project Go ★ 126
#6,150 linuxfrorg/linuxfr.org SCSS ★ 126 Compare ↗
#6,150 erkyrath/glulxe C ★ 126 Compare ↗
#6,150 eeeeaaii/vodka JavaScript ★ 126 Compare ↗
#6,150 auto-pts/auto-pts Python ★ 126 Compare ↗
#6,150 verbb/image-resizer PHP ★ 126 Compare ↗

Frequently Asked Questions

What does agent-tincan do? +

Let your AI agents ask each other for help, over Tailscale. Wherever they run.

What language is agent-tincan written in? +

The primary language is Go. Topics include: software.

Is agent-tincan actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 2 open issues being tracked.

How many stars does agent-tincan have? +

agent-tincan has 126 stars and 9 forks on GitHub.

How does agent-tincan rank among GitHub repositories? +

With 126 stars, mvanhorn/agent-tincan is ranked #6,150 globally across all repositories tracked on GitHubRepo and #608 among Go projects.

What license is agent-tincan distributed under? +

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

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