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Kishor Ramanan
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metadata
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

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:

    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