Code & Development · GitHub ·12 ★

Langchain-personal-assistant

The personal assistance chatbot integrates appointment creation, Google Calendar event scheduling with Google Meet, and email notifications using the Langchain and Zapier NLA integration.

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Details

Author
sanchukanirupama
Category
Code & Development
Platform
GitHub
Framework
langchain
Language
python
Stars
12
First indexed
2026-05-15
Last active
2024-11-10
Directory sync
2026-05-15
@sanchukanirupama

Overview

The personal assistance chatbot integrates appointment creation, Google Calendar event scheduling with Google Meet, and email notifications using the Langchain and Zapier NLA integration.

Quick start

git

git clone https://github.com/sanchukanirupama/Langchain-personal-assistant

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

What Langchain-personal-assistant can do

emailassistantapicalendarpersonal
  • Email — email task automation.
  • Assistant — Acts as a personal helper for everyday tasks.
  • Api — api task automation.
  • Calendar — calendar task automation.
  • Personal — Remembers your preferences to assist over time.

Frequently asked questions

What is Langchain-personal-assistant?
The personal assistance chatbot integrates appointment creation, Google Calendar event scheduling with Google Meet, and email notifications using the Langchain and Zapier NLA integration.
How do I install Langchain-personal-assistant?
Use git: `git clone https://github.com/sanchukanirupama/Langchain-personal-assistant`. Full setup details on the source page linked above.
Is Langchain-personal-assistant open source?
Langchain-personal-assistant is published on GitHub.
What are alternatives to Langchain-personal-assistant?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for Langchain-personal-assistant is sourced from GitHub, published by sanchukanirupama.

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