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+# Research Brief Agent
+
+## Description
+A standalone **LangGraph** based agent that generates a concise research brief for a given topic. The workflow:
+
+1. Generates a 4–5 point outline for the topic.
+2. For each outline point performs a single web search using **Tavily** and records a 5–8 sentence note.
+3. Synthesizes all notes into a coherent brief with headings.
+4. Outputs the outline, step notes, and final brief to the console.
+
+The agent is fully configurable via environment variables.
+
+## Environment Variables
+Create a `.env` file in the project root:
+
+```
+TAVILY_API_KEY=your_tavily_api_key
+OPENAI_API_KEY=your_openai_api_key
+```
+
+For local LLMs (e.g., Ollama) replace `ChatOpenAI` with the appropriate client and provide `base_url` and `api_key`.
+
+## Installation
+
+```bash
+# Create virtual environment
+python -m venv .venv
+source .venv/bin/activate   # On Windows use .venv\Scripts\activate
+
+# Install dependencies
+pip install -r requirements.txt
+```
+
+## Usage
+
+```bash
+python agent.py "Your topic here"
+```
+
+If no topic is provided, the default `Artificial Intelligence` will be used.
+
+The script prints:
+
+- Outline
+- Step notes
+- Final brief
+
+## Dependencies
+- `langgraph`
+- `langchain-openai`
+- `langchain-tavily`
+- `tavily-python`
+- `python-dotenv`
+
+All are pinned to the latest stable ranges in `requirements.txt`.