Update README.md

README.md

@@ -1,42 +1,29 @@
-# Deep Agent – Search + Virtual Files
+# Deep Agent from Scratch
 
-This repository contains a minimal **deep agent** implementation based on the
-"Deep Agents from Scratch" course.  The agent can:
+This repository contains a minimal implementation of a deep agent that can:
 
-1. Search the web (simple Bing wrapper).
-2. Create and modify files in an **in‑memory virtual file system**.
-3. Read those virtual files.
-4. Dump the virtual file system to the real disk at the end of the run.
+1. Search the web using DuckDuckGo.
+2. Create virtual files in memory.
+3. Export the virtual files to the real file system.
 
-## Setup
+The agent is built using the new LangChain 1.x and LangGraph 1.x APIs.
 
-```bash
-# Create a virtual environment (optional but recommended)
-python -m venv venv
-source venv/bin/activate  # Windows: venv\Scripts\activate
+## Prerequisites
 
-# Install dependencies
-pip install -r requirements.txt
-```
+- Python 3.11 or newer
+- Ollama running locally with a model such as `llama3.1`
+- `pip install -r requirements.txt`
 
-> **Prerequisite** – An Ollama server must be running locally with a model
-> such as `llama3.1` available.
-
-## Usage
+## Running the Agent
 
 ```bash
 python agent.py
 ```
 
-You will be prompted to type questions.  The agent will decide which tool to
-use.  When you are finished, type `exit`.
+The script will run the agent with a sample prompt, create a virtual file `report.txt`, and export it to the `exported_files` directory.
 
-The virtual files are stored in memory.  To persist them, use the `DumpVirtualFS`
-tool or call `dump_virtual_fs_tool("output")` from within the agent.
+## File Structure
 
-## Files
-
-- `agent.py` – Main agent implementation.
-- `virtual_fs.py` – Simple in‑memory file system.
+- `agent.py` – Main implementation.
 - `requirements.txt` – Python dependencies.
-- `README.md` – This documentation.
+- `README.md` – This file.