Shubhamsaboo/awesome-llm-apps
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
⚡ Executive Summary & Quick Facts
Authoritative Sourceawesome-llm-apps is awesome-llm-apps is an open-source project written in Python: 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Shubhamsaboo/awesome-llm-apps has accumulated 143,825 GitHub stars and 21,162 forks. It is written in Python, licensed under Apache-2.0, and ranks #46 globally. It is actively maintained with the latest commit recorded on Oct 22, 2026.”
| Repository | Shubhamsaboo/awesome-llm-apps ↗ |
|---|---|
| Primary Category | agents |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 143.8K stars · ⑂ 21.2K forks · #46 globally |
| Maintenance | ● Active (Last commit: Oct 22, 2026) · 26 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 95/100 · Grade A+Yes, awesome-llm-apps is actively maintained. Continuous telemetry recorded the last code commit on Oct 22, 2026 (21 days ago). Supported by 143,825 stars and 21,162 community forks, this repository holds a calculated health index of 95/100, reflecting regular maintenance (21 days ago) and healthy issue cadence.
Star History
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+3.3K
STARS · LAST 30 DAYS
109
PER DAY
#14
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +3.3K | +9.8K |
| Per day | 1 | 109 | 109 |
| Forks gained | +0 | +519 | +1.1K |
awesome-llm-apps gained 3.3K stars in the last 30 days, about 109 a day, and now has 143.8K. It is about 3 years old and has averaged roughly 47.9K stars a year. It ranks #14 among Python repositories and #46 across all languages on GitHubRepo.
Trending Record
45
DAYS ON TRENDING
#43
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
awesome-llm-apps has maintained a continuous presence across global trending indexes, peaking at #43. Below is the 30-day activity profile:
💡 Overview
awesome-llm-apps is an open-source project written in Python: 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, llms, python. 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 Python 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
$ pip install awesome-llm-apps⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
awesome-llm-apps coordinates its core functionality through a modular Python 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 awesome-llm-apps.
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 awesome-llm-apps using your package manager: `pip install awesome-llm-apps`
Initialize your project workspace or configuration file for awesome-llm-apps.
Import awesome-llm-apps into your codebase or invoke it directly from your terminal.
Execute your test suite or run `awesome-llm-apps --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
Shubhamsaboo/awesome-llm-apps is currently ranked #46 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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| #46 | Shubhamsaboo/awesome-llm-apps This Project | Python | ★ 143.8K | |
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Frequently Asked Questions
What does awesome-llm-apps do? +
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
Is awesome-llm-apps actively maintained in 2026? +
Yes, awesome-llm-apps is actively maintained. The latest code push was recorded on Oct 22, 2026 (21 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 143,825 stars and 26 open issues.
What language is awesome-llm-apps written in? +
The primary language is Python. Topics include: agents, llms, python, rag.
How many stars does awesome-llm-apps have? +
awesome-llm-apps has 143,825 stars and 21,162 forks on GitHub.
How does awesome-llm-apps rank among GitHub repositories? +
With 143,825 stars, Shubhamsaboo/awesome-llm-apps is ranked #46 globally across all repositories tracked on GitHubRepo and #14 among Python projects.
What license is awesome-llm-apps distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
