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ai-agent

Run AI Agent Apps with awesome-llm-apps

Get 100+ customizable AI apps for founders, clone and ship with ease, built with Python.
intermediateโฑ 30 minutes๐Ÿ’ต Free
134,389 stars19,754 forksPythonHealth Score 9/10Updated 8/22/2026100% free ยท open source
What it is

Allows you to run hundreds of pre-built AI apps and clone/customize/ship your own.

What you can make with it

Apps like custom chatbots, automated customer service tools, and data scraping scripts that run on popular platforms like Amazon, Zapier, and Slack.

How it helps

Saves you time and costs associated with building custom AI solutions from scratch, and gives you access to a wide range of pre-built apps that can be easily customized.

Real use case example

"A founder with an e-commerce platform wants to automate email follow-ups after a customer places an order. She uses the Awesome LLM Apps skill to find a pre-built script, clones it, customizes the email content, and sets up a Zapier integration. After publishing the app, she notices a significant decrease in customer complaints about missing emails."

If you're new

Choose this skill when you're new to AI development but want to quickly build simple apps or automate tasks with pre-built templates.

If you're senior

Reach for this skill when you need to rapidly deploy custom AI solutions or integrate multiple systems, and want access to a wide range of pre-built apps that can be customized to fit specific use cases.

Common confusion cleared up

Note that while Awesome LLM Apps offers a wide range of pre-built apps, some may require additional setup or configuration to work with your specific use case.

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Pairs with
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Why we list it on WorkflowStacks: To provide a marketplace for easily discoverable, open-source, and free AI tools that can be quickly cloned and customized.
What it does

Awesome-llm-apps provides a collection of 100+ AI agent and RAG apps that can be cloned, customized, and shipped, allowing founders to quickly develop and deploy AI-powered applications

Install / run
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
When to use it
  • โ€ขYou need to prototype an AI-powered chatbot or conversational interface
  • โ€ขYou want to explore different AI agent and RAG architectures for your startup
  • โ€ขYou need to quickly develop a proof-of-concept for an AI-driven project
Quick start
  1. 1Navigate to the cloned repository: cd awesome-llm-apps
  2. 2Explore the available apps: ls apps
  3. 3Clone a specific app: git clone https://github.com/Shubhamsaboo/awesome-llm-apps/apps/<app-name>.git
  4. 4Customize the app by modifying the configuration files: nano apps/<app-name>/config.py
  5. 5Run the app: python apps/<app-name>/main.py
Ready-to-paste prompt
python apps/conversational-ai/main.py --model_name 't5-small' --prompt 'Tell me a joke'
Heads up: Make sure you have Python 3.8 or later installed and have the necessary dependencies, including transformers and torch, which can be installed using pip: pip install transformers torch
Saves to your device

Topics

agents
llms
python
rag
How Run AI Agent Apps with awesome-llm-apps works
Codeflow
Free to inspect

Run AI Agent Apps with awesome-llm-apps is a very large Python project (~143k lines across 929 code files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size
Very large codebase
~143k lines ยท 929 code files ยท days to read โ€” use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Docker
Needs API keys (.env)
Python 56%TypeScript 21%JavaScript 16%HTML 4%CSS 2%
Where to start reading
  1. 1
    README.md
    Start here โ€” what it does and how to install it
What's in each folder
generative_ui_agents/Folder547 files
advanced_ai_agents/Folder517 files
advanced_llm_apps/Folder191 files
rag_tutorials/Folder105 files
agent_skills/Folder65 files
starter_ai_agents/Folder54 files
voice_ai_agents/Folder25 files
READMEHas testsDocumentedCI checksDocker readyApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
Shubhamsaboo
Language
Python
Category
ai-agent
Published
4/29/2024

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