ToolExperimental

crewai-gmail-automation

Name: crewai-gmail-automation
Rating: 3.0 (194 reviews)
Author: tonykipkemboi

by tonykipkemboi

CrewAI-based multi-agent Gmail automation for labeling and contextual replies

Python

Updated Mar 7, 2025

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Summary

Automates Gmail inbox workflows using a multi-agent CrewAI setup to categorize emails, apply labels, and draft contextual responses. Agents specialize in classification, labeling, and response generation, coordinating via CrewAI-driven messaging and rules. Includes IMAP integration and example flows for routing, retrying, and simple decision logic. This setup demonstrates the Agent-to-Agent Protocol (A2A) for cross-agent coordination and can illustrate how Handoff Pattern informs task routing and handoffs in automation.

Why It Matters

As agents autonomously handle user communication, knowing which agent produced which action becomes important for trust and auditability. This repo shows a practical place to observe agent delegation patterns, failure modes, and output quality in a live task (email handling). It therefore serves as a useful sandbox for tracing agent behavior and developing lightweight agent-to-agent evaluation or reputation signals before production adoption. See the Supervisor Pattern as a reference for managing delegation and accountability in multi-agent flows.

Ideal For

Developers prototyping agent delegation and inbox automation who want a concrete Market-Based Coordination Pattern to study interaction and failure patterns.