AI Meeting Memory Assistant

📰 Dev.to · Sowmya Meenuga

Build an AI Meeting Memory Assistant using Python and a fast LLM to store meeting notes, remember past conversations, and answer questions

intermediate Published 13 Apr 2026

Action Steps

Build a Python application to store meeting notes in a local JSON file
Implement a smart retrieval system to answer user questions using a fast LLM like Groq
Design a user interface to interact with the AI agent
Test the AI Meeting Memory Assistant with sample meeting notes and questions
Integrate the AI agent with a persistent memory system to remember past conversations

Who Needs to Know This

This project is beneficial for teams that struggle with scattered meeting notes, repeated questions, and forgotten tasks. The AI Meeting Memory Assistant can improve real-world productivity by providing a system that remembers and retrieves important information.

Key Insight

💡 AI agents with persistent memory can significantly improve real-world productivity by reducing scattered meeting notes, repeated questions, and forgotten tasks.

Key Takeaways

Build an AI Meeting Memory Assistant using Python and a fast LLM to store meeting notes, remember past conversations, and answer questions

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Title: AI Meeting Memory Assistant

URL Source: https://dev.to/sowmya_meenuga_c8a1d5c2f4/ai-meeting-memory-assistant-23e8

Published Time: 2026-04-13T17:11:17Z

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Posted on Apr 13

# AI Meeting Memory Assistant

[#ai](https://dev.to/t/ai)[#python](https://dev.to/t/python)

**_Introduction:_**

Meetings are powerful — but remembering what was discussed is often a challenge. Important decisions, task assignments, and responsibilities often get lost in chats or notes.

To solve this, I built an AI Meeting Memory Agent that can:

1. Store meeting notes
2. Remember past conversations
3. Answer questions using memory
4. Use a fast LLM (Groq) for intelligent responses

This project demonstrates how AI agents with persistent memory can improve real-world productivity.

_**Problem statement:**_

In most teams:

* Meeting notes are scattered
* People repeatedly ask the same questions
* Tasks get forgotten
* Context is lost over time

**We needed a system that doesn’t just chat — but remembers.**

Solution:

I built an AI agent that combines:

🔹 Persistent Memory

Stores all meeting notes in a local JSON file.

🔹 Smart Retrieval

When a user asks a quest

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AI Meeting Memory Assistant

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