An AI Skill Runtime for knowledge-intensive work which makes everything under your control.
⚡ Executive Summary & Quick Facts
Authoritative SourceLazyMind is LazyMind is an open-source project written in Go: An AI Skill Runtime for knowledge-intensive work which makes everything under your control..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), LazyAGI/LazyMind has accumulated 680 GitHub stars and 77 forks. It is written in Go, licensed under Apache-2.0, and ranks #10,612 globally. It is actively maintained with the latest commit recorded on Nov 12, 2026.”
| Repository | LazyAGI/LazyMind ↗ |
|---|---|
| Primary Category | ai |
| Language & Stack | Go |
| Software License | Apache-2.0 |
| Community Traction | ★ 680 stars · ⑂ 77 forks · #10,612 globally |
| Maintenance | ● Active (Last commit: Nov 12, 2026) · 30 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: 93/100 · Grade A+Yes, LazyMind is actively maintained. Continuous telemetry recorded the last code commit on Nov 12, 2026 (0 days ago). Supported by 680 stars and 77 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/LazyAGI/LazyMind?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/LazyAGI/LazyMind?utm_source=readme_badge) [](https://githubrepo.cloud/repo/LazyAGI/LazyMind?utm_source=readme_badge) [](https://githubrepo.cloud/repo/LazyAGI/LazyMind?utm_source=readme_badge) [](https://githubrepo.cloud/repo/LazyAGI/LazyMind?utm_source=readme_badge) [](https://githubrepo.cloud/repo/LazyAGI/LazyMind?utm_source=readme_badge)Momentum
+17
STARS · LAST 30 DAYS
1
PER DAY
#1,201
MOST-STARRED Go
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +17 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
LazyMind gained 17 stars in the last 30 days, about 1 a day, and now has 680. It is about 2 years old and has averaged roughly 340 stars a year. It ranks #1,201 among Go repositories and #10,612 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#14217
BEST RANK
Nov 12, 2026
FIRST APPEARANCE
Active
STATUS TODAY
LazyMind has maintained a continuous presence across global trending indexes, peaking at #14217. Below is the 30-day activity profile:
💡 Overview
LazyMind is an open-source project written in Go: An AI Skill Runtime for knowledge-intensive work which makes everything under your control.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-agent, ai-agents. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Go for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ go install github.com/LazyAGI/LazyMind@latest⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Go >= 1.21 runtime environment
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
LazyMind 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 LazyMind.
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
Install LazyMind using your package manager: `go install github.com/LazyAGI/LazyMind@latest`
Initialize your project workspace or configuration file for LazyMind.
Import LazyMind into your codebase or invoke it directly from your terminal.
Execute your test suite or run `LazyMind --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
LazyAGI/LazyMind is currently ranked #10,612 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,603 | amatya-aditya/obsidian-rss-dashboard | TypeScript | ★ 681 | Compare ↗ |
| #10,603 | kaushiksrini/parqeye | Rust | ★ 681 | Compare ↗ |
| #10,603 | JayPokale/Chisle | JavaScript | ★ 681 | Compare ↗ |
| #10,603 | MiaAI-Lab/sparkDash | JavaScript | ★ 681 | Compare ↗ |
| #10,603 | AnotiaWang/awesome-decision-models | Python | ★ 681 | Compare ↗ |
| #10,612 | LazyAGI/LazyMind This Project | Go | ★ 680 | |
| #10,612 | johnmichel/Library-Detector-for-Chrome | JavaScript | ★ 680 | Compare ↗ |
| #10,612 | brianlmoon/GearmanManager | PHP | ★ 680 | Compare ↗ |
| #10,612 | wp-cli/php-cli-tools | PHP | ★ 680 | Compare ↗ |
| #10,612 | Implem/Implem.Pleasanter | C# | ★ 680 | Compare ↗ |
| #10,612 | akarnokd/RxJavaExtensions | Java | ★ 680 | Compare ↗ |
Frequently Asked Questions
What does LazyMind do? +
An AI Skill Runtime for knowledge-intensive work which makes everything under your control.
Is LazyMind actively maintained in 2026? +
Yes, LazyMind is actively maintained. The latest code push was recorded on Nov 12, 2026 (0 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 680 stars and 30 open issues.
What language is LazyMind written in? +
The primary language is Go. Topics include: ai, ai-agent, ai-agents, harness, rag.
How many stars does LazyMind have? +
LazyMind has 680 stars and 77 forks on GitHub.
How does LazyMind rank among GitHub repositories? +
With 680 stars, LazyAGI/LazyMind is ranked #10,612 globally across all repositories tracked on GitHubRepo and #1,201 among Go projects.
What license is LazyMind distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
