Build Your Own AI Meeting Notetaker Agent using Supercog Agentic Framework

In this article, we will learn to build an AI Meeting Notetaker Agent that records and transcribes meetings, generates meeting summaries from the transcription, and saves that into a knowledge base you can interact with, ask for key points, etc. Outline Install Supercog Agentic Framework Set the required API keys Start the Meeting NoteTaker Agent Send bot to Join Meeting Ask for info from meeting Conclusion Install Supercog Agentic Framework Currently, it's probably easiest to run Supercog agentic framework from source. We use uv for package management: Git clone supercog agentic: git clone https://github.com/supercog-ai/agentic.git change directory to agentic cd agentic Install the project in editable mode with all optional and development tools using uv, a faster alternative to pip uv pip install -e ".[all,dev]" Set the required API keys Set the following API keys to use OPENAI llm and Meetings Bots As A Service to for example, join meetings. export OPENAI_API_KEY=your_openai_api_key export MEETING_BAAS_API_KEY=your_meetingbaas_api_key OR Adding them to .env file OPENAI_API_KEY=your_openai_api_key MEETING_BAAS_API_KEY=your_meetingbaas_api_key OR using the agentic secrets set command: agentic secrets set "OPENAI_API_KEY=your_openai_api_key" agentic secrets set "MEETING_BAAS_API_KEY=your_meetingbaas_api_key" You can get your meetingbaas API key from: https://meetingbaas.com/ Start the Meeting NoteTaker Agent Run the following command in the terminal to start the Next.js - based web dashboard interface on http://localhost:3000 (by default) and to simultaneously launch the meeting notetaker agent server (FastAPI) in the background on port 8086 by default (specified by --agent-path examples/meeting_notetaker.py) agentic dashboard start --agent-path examples/meeting_notetaker.py Once you start the web dashboard and the FastAPI web server, you can then go to http://localhost:3000 on your web browser to access the dashboard. Send Bot to Join Meeting You can copy your meeting URL and paste with a prompt like the following to send the bot to join your meeting: Join this meeting: https://meet.google.com/example-url-here=here The bot will join your meeting, record it until it ends, and provide the data as it goes. Supercog agentic will generate a summary from the meeting transcript and index the summary for the RAG process so that you can ask questions to get information from the meeting and get a response based on the meeting. Ask for info from meeting Once the meeting is complete or you leave the meeting, you can go to the chat box to ask questions and get info based on the meeting. For example, in my case, I am finding out what the key points discussed in the meeting were: You can ask more questions about the meeting, and Supercog agentic framework is going to give you responses based on the meeting data. Conclusion You can see more about Supercog Agentic Framework: https://github.com/supercog-ai/agentic You can contribute; it's open source. Docs: https://supercog-ai.github.io/agentic/latest/ Join the Discord: https://discord.gg/EmPGShjmGu

Apr 4, 2025 - 17:55

Build Your Own AI Meeting Notetaker Agent using Supercog Agentic Framework

In this article, we will learn to build an AI Meeting Notetaker Agent that records and transcribes meetings, generates meeting summaries from the transcription, and saves that into a knowledge base you can interact with, ask for key points, etc.

Outline

Install Supercog Agentic Framework
Set the required API keys
Start the Meeting NoteTaker Agent
Send bot to Join Meeting
Ask for info from meeting
Conclusion

Install Supercog Agentic Framework

Currently, it's probably easiest to run Supercog agentic framework from source. We use uv for package management:

Git clone supercog agentic:

git clone https://github.com/supercog-ai/agentic.git

change directory to agentic

cd agentic

Install the project in editable mode with all optional and development tools using uv, a faster alternative to pip

uv pip install -e ".[all,dev]"

Set the required API keys

Set the following API keys to use OPENAI llm and Meetings Bots As A Service to for example, join meetings.

export OPENAI_API_KEY=your_openai_api_key
export MEETING_BAAS_API_KEY=your_meetingbaas_api_key

OR
Adding them to .env file

OPENAI_API_KEY=your_openai_api_key
MEETING_BAAS_API_KEY=your_meetingbaas_api_key

OR
using the agentic secrets set command:

agentic secrets set "OPENAI_API_KEY=your_openai_api_key"
agentic secrets set "MEETING_BAAS_API_KEY=your_meetingbaas_api_key"

You can get your meetingbaas API key from: https://meetingbaas.com/

Start the Meeting NoteTaker Agent

Run the following command in the terminal to start the Next.js - based web dashboard interface on http://localhost:3000 (by default) and to
simultaneously launch the meeting notetaker agent server (FastAPI) in the background on port 8086 by default (specified by --agent-path examples/meeting_notetaker.py)

agentic dashboard start --agent-path examples/meeting_notetaker.py

Once you start the web dashboard and the FastAPI web server, you can then go to http://localhost:3000 on your web browser to access the dashboard.

Send Bot to Join Meeting

You can copy your meeting URL and paste with a prompt like the following to send the bot to join your meeting:

Join this meeting: https://meet.google.com/example-url-here=here

The bot will join your meeting, record it until it ends, and provide the data as it goes. Supercog agentic will generate a summary from the meeting transcript and index the summary for the RAG process so that you can ask questions to get information from the meeting and get a response based on the meeting.

Ask for info from meeting

Once the meeting is complete or you leave the meeting, you can go to the chat box to ask questions and get info based on the meeting. For example, in my case, I am finding out what the key points discussed in the meeting were:

You can ask more questions about the meeting, and Supercog agentic framework is going to give you responses based on the meeting data.

Conclusion

You can see more about Supercog Agentic Framework: https://github.com/supercog-ai/agentic
You can contribute; it's open source.

Docs: https://supercog-ai.github.io/agentic/latest/
Join the Discord: https://discord.gg/EmPGShjmGu