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Shubhamsaboo/awesome-llm-apps

100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.

Python ◇ agents Apache-2.0

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★139.8KSTARS

⑂20.5KFORKS

!13ISSUES

🏆#42GLOBAL RANK

🔥6DAYS TRENDING

🚀

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Star History

Continuous Observations

Interactive star growth chart for Shubhamsaboo/awesome-llm-apps

Momentum

+3.5K

STARS · LAST 30 DAYS

117

PER DAY

#13

MOST-STARRED Python

Window	7 days	30 days	90 days
Stars gained	+819	+3.5K	+10.5K
Per day	117	117	117
Forks gained	+103	+411	+1K

awesome-llm-apps gained 3.5K stars in the last 30 days, about 117 a day, and now has 139.8K. It is about 2 years old and has averaged roughly 69.9K stars a year. It ranks #13 among Python repositories and #42 across all languages on GitHubRepo.

Trending Record

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

terminal

$ pip install awesome-llm-apps

$ pip install awesome-llm-apps # or: brew install awesome-llm-apps

> 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

Active community backing with 139,538 GitHub stars and verified adoption.

Permissive open-source distribution under the Apache-2.0 license.

Built in Python 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 Python 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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A collective list of free APIs

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👥 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 #42 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

Rank	Repository	Language	Stars	Action
#37	langchain-ai/langchain	Python	★ 147.2K	Compare ↗
#38	DietrichGebert/ponytail	JavaScript	★ 146.9K	Compare ↗
#39	x1xhlol/system-prompts-and-models-of-ai-tools	—	★ 143.9K	Compare ↗
#40	yangshun/tech-interview-handbook	TypeScript	★ 143K	Compare ↗
#41	ytdl-org/youtube-dl	Python	★ 141.4K	Compare ↗
#42	Shubhamsaboo/awesome-llm-apps This Project	Python	★ 139.8K
#43	iptv-org/iptv	TypeScript	★ 139.7K	Compare ↗
#44	github/spec-kit	Python	★ 139.1K	Compare ↗
#45	golang/go	Go	★ 139.1K	Compare ↗
#46	farion1231/cc-switch	Rust	★ 137.5K	Compare ↗
#47	Comfy-Org/ComfyUI	Python	★ 135K	Compare ↗

Frequently Asked Questions

What does awesome-llm-apps do? +

100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.

What language is awesome-llm-apps written in? +

The primary language is Python. Topics include: agents, llms, python, rag.

Is awesome-llm-apps actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 13 open issues being tracked.

How many stars does awesome-llm-apps have? +

awesome-llm-apps has 139,804 stars and 20,539 forks on GitHub.

How does awesome-llm-apps rank among GitHub repositories? +

With 139,804 stars, Shubhamsaboo/awesome-llm-apps is ranked #42 globally across all repositories tracked on GitHubRepo and #13 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.

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LinkedIn

Why awesome-llm-apps is replacing paid subscriptions for engineering teams

Stop paying $50+/month for locked SaaS tools.

Over 139,804 developers have starred Shubhamsaboo/awesome-llm-apps, an impressive Python open-source project designed to 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.

Key Engineering Advantages:
• 100% Local-First: Complete data privacy with zero tracking or telemetry.
• Zero Subscription Costs: No paywalls, per-seat fees, or API markups.
• Complete Customization: Native open-source architecture you can fork, inspect, and deploy anywhere.
• Proven Adoption: 139,804 GitHub stars and 20,539 forks.

If you're looking to streamline your engineering workflows without ballooning software expenses, this is worth checking out.

👉 Full star velocity and architectural report: https://githubrepo.cloud/repo/Shubhamsaboo/awesome-llm-apps
⭐ GitHub Repository: https://github.com/Shubhamsaboo/awesome-llm-apps

#OpenSource #SoftwareEngineering #DeveloperTools #Tech #Programming #Python

🤖

Reddit (r/opensource, r/webdev, r/selfhosted)

Show r/opensource: awesome-llm-apps – A free, self-hosted tool that lets you 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source

Hey everyone,

I wanted to share an interesting open-source project called **awesome-llm-apps** (https://github.com/Shubhamsaboo/awesome-llm-apps) that has been picking up heavy momentum lately (139,804 stars).

### What problem does it solve?
Many existing tools in this domain require expensive cloud plans or store your data on third-party servers. awesome-llm-apps was built with a local-first philosophy, allowing developers to 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source without recurring subscription costs or privacy compromises.

### Tech Stack & Details:
- **Language:** Python
- **License:** Apache-2.0
- **GitHub:** [Shubhamsaboo/awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps)
- **Live Star Momentum Tracker:** [https://githubrepo.cloud/repo/Shubhamsaboo/awesome-llm-apps](https://githubrepo.cloud/repo/Shubhamsaboo/awesome-llm-apps)

Has anyone here tested this in production or integrated it into existing pipelines? Would love to hear your experience and feedback!

🟧

Hacker News (Show HN)

Show HN: awesome-llm-apps – 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source

Hi HN,

awesome-llm-apps is an open-source Python project designed to 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.

Rather than relying on closed cloud endpoints, it executes locally on your own machine, providing predictable latency, total privacy, and full control.

Repository: https://github.com/Shubhamsaboo/awesome-llm-apps
Documentation & Metrics: https://githubrepo.cloud/repo/Shubhamsaboo/awesome-llm-apps

Feedback and PRs are welcome.

✍️

Dev.to / Hashnode Tags: opensource, python, devtools, webdev

This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet awesome-llm-apps (139,804 GitHub Stars)

---
title: This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet awesome-llm-apps
published: true
tags: opensource, python, devtools, programming
---

## Stop Paying Software Subscriptions For This

Finding high-quality, production-ready open source alternatives to expensive proprietary software can save engineering teams thousands of dollars every year.

Today, we're looking at **[Shubhamsaboo/awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps)**, a rapidly rising repository with **139,804 GitHub stars** and **20,539 forks**.

### What is awesome-llm-apps?

> 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source

Written in **Python**, awesome-llm-apps runs directly on your local workstation or private server, keeping your data secure and eliminating recurring license fees.

### Key Highlights
- **High Performance:** Lightweight, reliable, and built in Python.
- **Privacy & Security:** Complete ownership of your environment and data.
- **Growing Momentum:** Ranked **#42** globally across tracked repositories on [GitHubRepo](https://githubrepo.cloud/repo/Shubhamsaboo/awesome-llm-apps).

### Quick Start
To get started locally:

```bash
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
cd awesome-llm-apps
```

Check out the full repository and star history analytics here:
- **GitHub:** [Shubhamsaboo/awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps)
- **Star Velocity Tracker:** [awesome-llm-apps on GitHubRepo.cloud](https://githubrepo.cloud/repo/Shubhamsaboo/awesome-llm-apps)

𝕏

X / Twitter Communities

Thread / Community Post for awesome-llm-apps

Developers are sleeping on this GitHub repo 👇

Shubhamsaboo/awesome-llm-apps (139,804 ⭐) replaces expensive monthly software subscriptions with 100% free open source code.

⚡ What it does: 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source
💻 Built with: Python
🔒 100% local execution & privacy

Check live star velocity and benchmarks:
https://githubrepo.cloud/repo/Shubhamsaboo/awesome-llm-apps

#opensource #developer #coding #tech #programming

🧵

Threads Topics

Topic Discussion: Open Source & Developer Tools

This GitHub repo replaces a $50/month tool! 🚀

If you want to save hours of manual work and stop paying subscriptions, check out Shubhamsaboo/awesome-llm-apps.

It already has over 139,804 stars and lets you 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.

Drop a comment if you've tried it, or check the full star momentum report:
https://githubrepo.cloud/repo/Shubhamsaboo/awesome-llm-apps

From our network

Shubhamsaboo/awesome-llm-apps

Star History

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Trending Record

💡 Overview

⚡ Key Features

📥 Installation

⚙ System Requirements

Platforms

Runtime & Dependencies

Architecture

🧠 How It Works

🎯 Production Use Cases

Autonomous AI Agents

Model Inference & Prompting

Context Memory & RAG

Developer Productivity

🚀 Getting Started

👍 Strengths

⚠️ Considerations

⇄ Alternatives & Direct Competitors

👥 Who Should Use This

🏆 Nearby in the Rankings

Frequently Asked Questions

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