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lordmathis
Home / Go / llamactl

lordmathis/llamactl

Unified management and routing for llama.cpp, MLX and vLLM models with web dashboard.

Go ◇ llama-cpp MIT
★156STARS
⑂33FORKS
!2ISSUES
🏆#19,020GLOBAL RANK
🔥16DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

llamactl is llamactl is an open-source project written in Go: Unified management and routing for llama.cpp, MLX and vLLM models with web dashboard..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), lordmathis/llamactl has accumulated 156 GitHub stars and 33 forks. It is written in Go, licensed under MIT, and ranks #19,020 globally. It is actively maintained with the latest commit recorded on Oct 15, 2026.”
Repository lordmathis/llamactl ↗
Primary Category llama cpp
Language & Stack Go
Software License MIT
Community Traction ★ 156 stars · ⑂ 33 forks · #19,020 globally
Maintenance ● Active (Last commit: Oct 15, 2026) · 2 open issues
Target Audience Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 88/100 · Grade A
✅
Is llamactl actively maintained in 2026?
Verdict: Actively Maintained

Yes, llamactl is actively maintained. Continuous telemetry recorded the last code commit on Oct 15, 2026 (18 days ago). Supported by 156 stars and 33 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (18 days ago) and healthy issue cadence.

Commit Recency
Oct 15, 2026
18 days since last push
Issue Backlog
2 Open Issues
Healthy Issue Cadence
Community Backing
33 Forks
156 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for lordmathis/llamactl
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,044

MOST-STARRED Go

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

llamactl gained 10 stars in the last 30 days, about 1 a day, and now has 156. It is about 1 year old and has averaged roughly 156 stars a year. It ranks #2,044 among Go repositories and #19,020 across all languages on GitHubRepo.

Trending Record

llamactl has maintained a continuous presence across global trending indexes, peaking at #13675. Below is the 30-day activity profile:

💡 Overview

llamactl is an open-source project written in Go: Unified management and routing for llama.cpp, MLX and vLLM models with web dashboard.

Engineered for speed, consistency, and developer ease, it solves common hurdles in llama-cpp, llama-server, llamacpp. 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/lordmathis/llamactl@latest

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

llamactl 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 llamactl.

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 llamactl using your package manager: `go install github.com/lordmathis/llamactl@latest`

2

Initialize your project workspace or configuration file for llamactl.

3

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

4

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

👍 Strengths

Active community backing with 156 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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avelino/awesome-go ★ 187.2K Go

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ollama/ollama ★ 185.4K Go

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G
golang/go ★ 139.4K Go

The Go programming language

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K
kubernetes/kubernetes ★ 128.2K Go

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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

lordmathis/llamactl is currently ranked #19,020 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#18,960 skydoves/nowinandroid-kmp Kotlin ★ 157 Compare ↗
#18,960 SamGu-NRX/Caret Swift ★ 157 Compare ↗
#18,960 allebee/jevk5 Python ★ 157 Compare ↗
#18,960 solongate/agent-security Go ★ 157 Compare ↗
#18,960 AgenticsWorks/AgentPeerChat JavaScript ★ 157 Compare ↗
#19,020 lordmathis/llamactl This Project Go ★ 156
#19,020 tenderlove/namecase Ruby ★ 156 Compare ↗
#19,020 rick/linode Ruby ★ 156 Compare ↗
#19,020 SableCC/sablecc Java ★ 156 Compare ↗
#19,020 mazenharake/cecho Erlang ★ 156 Compare ↗
#19,020 quirkey/soca JavaScript ★ 156 Compare ↗
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Frequently Asked Questions

What does llamactl do? +

Unified management and routing for llama.cpp, MLX and vLLM models with web dashboard.

Is llamactl actively maintained in 2026? +

Yes, llamactl is actively maintained. The latest code push was recorded on Oct 15, 2026 (18 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 156 stars and 2 open issues.

What language is llamactl written in? +

The primary language is Go. Topics include: llama-cpp, llama-server, llamacpp, llm, llm-inference.

How many stars does llamactl have? +

llamactl has 156 stars and 33 forks on GitHub.

How does llamactl rank among GitHub repositories? +

With 156 stars, lordmathis/llamactl is ranked #19,020 globally across all repositories tracked on GitHubRepo and #2,044 among Go projects.

What license is llamactl distributed under? +

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

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