An AI-powered meeting assistant that helps you prepare for meetings by remembering important details from previous conversations.
Instead of starting every meeting from scratch, the agent keeps contact-specific memories such as previous discussions, commitments, concerns, and follow-ups, and uses them to help prepare for future meetings.
Previous Meeting
โ
Meeting Notes
โ
AI extracts important information
โ
Contact-specific Memory
โ
Ask questions / Prepare for next meeting
โ
Personalized Meeting Brief
Suppose you have a contact named Siri.
After a meeting, you save:
Siri mentioned that the team is planning a product launch next month. She will share the updated requirements by Friday. The API integration and project timeline still need to be discussed.
Before the next meeting, you can ask:
โWhat should I discuss with Siri?โ
The agent uses the stored information to generate relevant preparation instead of giving a generic response.
I wanted to explore how LLMs and persistent memory can be combined to build an assistant that becomes more useful over time.
The main idea is simple:
Remember previous conversations โ understand what matters โ prepare better for the next meeting.
Add your demo video or screenshots here.
Sirija Boinapally
Built as an AI/LLM project to explore long-term memory, personalized AI assistants, and meeting preparation.
HTML
48.1%
TypeScript
27.7%
Python
24.1%
An AI-powered meeting assistant that helps you prepare for meetings by remembering important details from previous conversations.
Instead of starting every meeting from scratch, the agent keeps contact-specific memories such as previous discussions, commitments, concerns, and follow-ups, and uses them to help prepare for future meetings.
Previous Meeting
โ
Meeting Notes
โ
AI extracts important information
โ
Contact-specific Memory
โ
Ask questions / Prepare for next meeting
โ
Personalized Meeting Brief
Suppose you have a contact named Siri.
After a meeting, you save:
Siri mentioned that the team is planning a product launch next month. She will share the updated requirements by Friday. The API integration and project timeline still need to be discussed.
Before the next meeting, you can ask:
โWhat should I discuss with Siri?โ
The agent uses the stored information to generate relevant preparation instead of giving a generic response.
I wanted to explore how LLMs and persistent memory can be combined to build an assistant that becomes more useful over time.
The main idea is simple:
Remember previous conversations โ understand what matters โ prepare better for the next meeting.
Add your demo video or screenshots here.
Sirija Boinapally
Built as an AI/LLM project to explore long-term memory, personalized AI assistants, and meeting preparation.
HTML
48.1%
TypeScript
27.7%
Python
24.1%