Working Memory

1st Place Grand Prize at HackUTD 2025
Devpost: https://devpost.com/software/working-memory

Working Memory is an agentic workflow that passively observes your coding sessions, summarizes your progress, and reconstructs context from your history, enabling seamless re-entry into any project.

How It Works

1. Start a session: Initialize a coding session directly within the web dashboard.
2. Code as usual: Any modified or newly created files are tracked.
3. Stop the session: The changelog is gathered and fed into an AI data-processing pipeline, producing:
   • A natural-language summary containing a high-level overview and actionable insights.
   • Structured metadata containing the git status output.
4. View History: The results appear in the web dashboard under Past Workflows, complete with a search engine for re-entering context later.

Architecture

Frontend UI

• Built with TypeScript, React, and Tailwind CSS.
• Employs elegant glassmorphism UI components (GlassCard, Pill) and minimalist design.
• Handles session creation, workflow history, and theme preferences.
• Implements vector search for instant retrieval of past sessions.

Model Context Protocol (MCP) Server

• Built with TypeScript in the form of a VS Code extension.
• Exposes an HTTP endpoint to return the active project path.

Backend Agent

• Built with Python, FastAPI, and GitPython.
• Calls MCP server to retrieve active project path
• Scans the file tree and structures the changelog
• Feeds changelog into GPT-4.1 mini (fast, general-purpose reasoning model with large context window)