This article details how to set up an email triage system using Home Assistant and a local Large Language Model (LLM) to summarize and categorize incoming emails, reducing inbox clutter and improving email management. It covers the setup of a REST command to interface with Ollama, the automation process, and the benefits of using a local LLM for privacy.
A Model Context Protocol (MCP) server that provides tools for interacting with JMAP (JSON Meta Application Protocol) email servers. Built with Deno and using the jmap-jam client library.
Lightweight CLI agent to semantically search and ask your emails. Downloads inbox, generates embeddings using local (or external) LLMs, and stores everything in a vector database on your machine. Supports incremental sync for fast updates.
AI agents can autonomously manage emails, categorize important messages, and reduce the need for constant inbox checking, freeing up time for more meaningful tasks.
