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---
title: Central Memory Agent
emoji: 🦀
colorFrom: yellow
colorTo: indigo
sdk: gradio
sdk_version: 6.0.1
app_file: app.py
pinned: false
license: mit
short_description: Storing Memories and Agentic Retrieval with MCP
tags:
- mcp-in-action-track-consumer
---
# Central Memory Agent
Central Memory Agent is a Gradio-based chatbot application designed to store and retrieve information. It provides a user-friendly interface and exposes tools as MCP (Model Context Protocol) endpoints for seamless integration with MCP clients.
---
## Features
- **Chatbot Interface**: Interact with the memory system to store and retrieve information.
- **Memory Storage**: Add content to memory with metadata (category, topic).
- **Memory Retrieval**: Search stored information using agentic retrieval.
- **MCP Endpoints**: Access `populate_memory` and `search_memory` tools via MCP clients.
---
## Usage
1. **Run the Application**:
```bash
uv run main.py
```
2. **Interact with the Chatbot**:
- Use the chatbot interface to store and retrieve memories.
3. **Connect MCP Clients**:
- Access the `populate_memory` and `search_memory` tools via MCP endpoints.
---
## Project Structure
- `main.py`: The main application file that launches the Gradio interface.
- `utility.py`: Contains the `populate_memory` and `search_memory` tools.
- `agent.py`: Manages retrieval states and builds retrieval graphs.
- `clients.py`: Defines the language model and vector store clients.
- `pyproject.toml`: Project configuration and dependencies.
---
## Acknowledgments
- Built with [Gradio](https://gradio.app/).
- Powered by [LangChain](https://langchain.com/) and [Qdrant](https://qdrant.tech/).
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