Content & Writing · GitHub ·5 ★

aigenda

Aigenda is an open-source plugin designed to transform OpenAI's GPT into a daily personal assistant. It serves as a main plugin that can be enhanced with subsequent plugins for specific tasks such as manage your agenda, note taking, sending emails, reading GitHub pull requests, etc...

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Details

Author
lusitania-labs
Category
Content & Writing
Platform
GitHub
Framework
openai
Language
kotlin
Stars
5
First indexed
2026-05-15
Last active
2023-05-23
Directory sync
2026-05-15
@lusitania-labs

Overview

Aigenda is an open-source plugin designed to transform OpenAI's GPT into a daily personal assistant. It serves as a main plugin that can be enhanced with subsequent plugins for specific tasks such as manage your agenda, note taking, sending emails, reading GitHub pull requests, etc...

Quick start

git

git clone https://github.com/lusitania-labs/aigenda

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What aigenda can do

assistantpersonalemaildesign
  • Assistant — Acts as a personal helper for everyday tasks.
  • Personal — Remembers your preferences to assist over time.
  • Email — email task automation.
  • Design — design task automation.

Frequently asked questions

What is aigenda?
Aigenda is an open-source plugin designed to transform OpenAI's GPT into a daily personal assistant. It serves as a main plugin that can be enhanced with subsequent plugins for specific tasks such as manage your agenda, note taking, sending emails, reading GitHub pull requests, etc...
How do I install aigenda?
Use git: `git clone https://github.com/lusitania-labs/aigenda`. Full setup details on the source page linked above.
Is aigenda open source?
aigenda is published on GitHub.
What are alternatives to aigenda?
Comparable agents include PaddleOCR, telegraf, ai-notes. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for aigenda is sourced from GitHub, published by lusitania-labs.

Last scraped: · First indexed:

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