# DeepAgent Implementation

This repository contains a minimal **DeepAgent** that can search the web and create virtual files. The agent uses OpenRouter for LLM calls, DuckDuckGo for web searches, and `deepagents` to manage a hybrid filesystem + shell backend.

## Features
- **Web search**: Uses DuckDuckGo API to fetch up to 5 results per query.
- **Virtual file creation**: The agent writes files into a temporary workspace (`./workspace`).
- **Real‑world file export**: After completing the task, the virtual files are copied to the real filesystem under `./workspace`.

## How it works
1. The agent is instantiated with an OpenRouter LLM and a single web search tool.
2. A backend combines a local shell environment (for executing commands) and a simple in‑memory filesystem.
3. When the user asks for information, the agent calls `web_search`, receives the results, and stores them in `results.txt` inside the virtual workspace.
4. The script then copies that file to the real working directory so it can be committed to Git later.

## Running locally
```bash
pip install -r requirements.txt
python main.py
```
The program will print search results and create a `results.txt` file in the current directory.