An AI agent that generates docker compose for applications then saves all of them then executes them and finally provide feedback if failure to AI model.
This repository tries to solve docker compose deployment problems through an AI Agent.
[](https://youtu.be/OU8IXRFpsLk?feature=shared)

# Pre Requisites
## Installation of docker
Install docker from [here](https://docs.docker.com/engine/install/)
## Installation of docker-compose
Install docker compose from [here](https://docs.docker.com/compose/install/)
## Now install requirements.txt
Which ever python installation you are running be it virtual environment or anaconda
install `pip install -r requirements.txt`
## Construct RAG
For generating RAG you need to clone some existing docker repositories
```
mkdir -p repos
cd repos
git clone https://github.com/Haxxnet/Compose-Examples.git
git clone https://github.com/docker/awesome-compose.git
git clone https://github.com/ruanbekker/awesome-docker-compose.git
```
## Select either offline or online model. It could be ollama or online using
## openrouter free key.
## Note
### If you are using github codespaces then it is very easy to try this just use
```
chmod +x setup.sh
./setup.sh
```
# Model selection
## Offline models
### Installation of ollama
install ollama from [here](https://ollama.com/download)
### Install offline models of deep seek
In one terminal keep running the following
```
ollama serve
```
Also download these models
```
ollama pull deepseek-r1:1.5b
ollama pull deepseek-r1:7b
ollama pull deepseek-r1:32b
ollama pull deepcoder:14b
ollama pull llama3.2:3b
ollama pull llama3.2:1b
ollama pull deepcoder:1.5b
ollama pull gemma3:4b
ollama pull gemma3:12b
ollama pull gemma3:4b
```
After downloading test the models using
by first downloading curl and then use
```
curl http://localhost:11434/api/generate -d '{
"model": "deepseek-r1:1.5b",
"prompt": "one word about me just one word",
"stream": false
}'
```
Make sure it works and it keeps on running at `11434`
## Online model (free tier)
1. Go to [openrouter](https://openrouHAL 分层混合模型工作流 — 强模型(Claude)负责理解/拆解/验收,低成本模型(DeepSeek)负责检索/提取/清洗。Hermes Agent skill。
An LLM agent fine-tuned on DeepSeek for spaced repetition, dynamically integrating knowledge points based on the Ebbinghaus forgetting curve.
基于 STM32F103 构建的端到端 AI 智能手表生态。自研“零重定位”原生机器码动态加载引擎与页面栈式 UI 框架;集成生产级 OTA 回滚保护机制与高带宽(921600 baud)串口协议栈。通过 Node.js 中继实现 DeepSeek AI 语义控制及 ASRPRO 语音全双工交互,是一个集成了分布式计算、现代存储管理与 AI Agent 的嵌入式全栈工程。
A Meta-Agent-Driven Self-Evolving Multi-Agent System for UAV Detection and Tracking
One command to run Hermes AI Agent with a browser UI. Zero prerequisites. 一行命令,AI 就位。
网页应用Agent,接入DeepSeek、Mimo等模型