finished ai-consultant agent

README.md

@@ -168,6 +168,7 @@ Interested in sponsoring this project? Feel free to reach out!
 - [Job Search Agent](memory_agents/job_search_agent) - Job search agent with memory.
 - [Brand Reputation Monitor](memory_agents/brand_reputation_monitor) - AI-powered brand reputation monitoring with news analysis and sentiment tracking.
 - [Product Launch Agent](memory_agents/product_launch_agent) - Competitive intelligence tool for analyzing competitor product launches.
+- [AI Consultant Agent](memory_agents/ai_consultant_agent/) - An AI-powered consulting agent that uses **Memori v3** as a long-term memory fabric and **ExaAI** for research.
 
 ### 📚 RAG Applications
 

memory_agents/ai_consultant_agent/.streamlit/config.toml

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+[theme]
+base = "light"
+
+# Optional overrides for later:
+# primaryColor = "#0b57d0"
+# backgroundColor = "#ffffff"
+# secondaryBackgroundColor = "#f5f7fb"
+# textColor = "#000000"
+
+

memory_agents/ai_consultant_agent/README.md

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+## AI Consultant Agent with Memori
+
+An AI-powered consulting agent that uses **Memori v3** as a long-term memory fabric and **ExaAI** for research. Built with Streamlit for the UI.
+
+Memori repo: [`GibsonAI/Memori`](https://github.com/GibsonAI/Memori)
+
+## Features
+
+- 🧠 **AI Readiness Assessment**: Analyze a company’s AI maturity, goals, and constraints.
+- 🎯 **Use-Case Recommendations**: Suggest where to integrate AI (workflows, CX, analytics, product, ecosystem).
+- 💵 **Cost Bands**: Provide rough cost bands and complexity for proposed AI initiatives.
+- ⚙️ **Web / Case-Study Research**: Use **ExaAI** to pull in relevant case studies and industry examples.
+- 🧾 **Persistent Memory (Memori v3)**: Store and reuse context across assessments and follow-up questions.
+
+## Prerequisites
+
+- Python 3.11 or higher  
+- [uv](https://github.com/astral-sh/uv) package manager (fast Python package installer)  
+- OpenAI API key (`OPENAI_API_KEY`)  
+- ExaAI API key (`EXA_API_KEY`)  
+- (Optional) `SQLITE_DB_PATH` if you want to override the default `./memori.sqlite` path
+
+## Installation
+
+### 1. Install `uv`
+
+If you don't have `uv` installed:
+
+```bash
+curl -LsSf https://astral.sh/uv/install.sh | sh
+```
+
+Or using pip:
+
+```bash
+pip install uv
+```
+
+### 2. Clone and Navigate
+
+From the root of the main repo:
+
+```bash
+cd memory_agents/ai_consultant_agent
+```
+
+### 3. Install Dependencies with `uv`
+
+Using `uv` (recommended):
+
+```bash
+uv sync
+```
+
+This will:
+
+- Create a virtual environment automatically.
+- Install all dependencies from `pyproject.toml`.
+- Make the project ready to run.
+
+### 4. Set Up Environment Variables
+
+Create a `.env` file in this directory:
+
+```bash
+OPENAI_API_KEY=your_openai_api_key_here
+EXA_API_KEY=your_exa_api_key_here
+# Optional:
+# SQLITE_DB_PATH=./memori.sqlite
+```
+
+## Usage
+
+### Run the Application
+
+Activate the virtual environment created by `uv` and run Streamlit:
+
+```bash
+# Activate the virtual environment (created by uv)
+source .venv/bin/activate  # On macOS/Linux
+# or
+.venv\Scripts\activate     # On Windows
+
+# Run the app
+streamlit run app.py
+```
+
+Or using `uv` directly:
+
+```bash
+uv run streamlit run app.py
+```
+
+The app will create (or use) a local **SQLite database** (default `./memori.sqlite`) for Memori v3.
+
+In the UI you can:
+
+1. **Enter API Keys** in the sidebar (or rely on `.env`).
+2. **Configure a Company Profile** in the **AI Assessment** tab.
+3. **Run an AI Assessment** to get:
+   - Recommendation (adopt AI now / later / not yet),
+   - Priority use cases,
+   - Cost bands & risks,
+   - Next-step plan.
+4. **Use the Memory Tab** to ask about:
+   - Previous recommendations,
+   - Previously suggested cost bands,
+   - How new ideas relate to earlier assessments.
+
+## Project Structure
+
+```text
+ai_consultant_agent/
+├── app.py              # Streamlit interface (assessment + memory tabs)
+├── workflow.py         # ExaAI research + OpenAI-based consulting workflow
+├── pyproject.toml      # Project dependencies (uv format)
+├── README.md           # This file
+├── requirements.txt    # PIP-style dependency list
+├── .streamlit/
+│   └── config.toml     # Streamlit theme (light)
+├── assets/             # Logos (reused from other agents)
+└── memori.sqlite       # Memori database (created automatically)
+```
+
+## License
+
+See the main repository LICENSE file.
+
+## Contributing
+
+Contributions are welcome! Please feel free to submit a Pull Request.
+
+---
+
+Made with ❤️ by [Studio1](https://www.Studio1hq.com) Team
+