AEGIS is a self-hosted platform where named agents run durable Temporal workflows over your own data - tasks, money, knowledge, homelab alerts - and only ask for a decision when they truly need one. Local-LLM-first, MIT-licensed. Fork it and make it yours.

Hey Product Hunt I'm Arshad. I built AEGIS over the past year to run my own life — tasks, email, money, a knowledge base, and my homelab — and open-sourced it last week (MIT). The idea: not another assistant to check, but a system that handles the boring parts quietly and only interrupts me when a decision is genuinely mine. A small fleet of named agents run durable Temporal workflows over my own data; every human-in-the-loop moment is one primitive (a Postgres row + a chat card + a workflow that waits for my tap). It's local-LLM-first through a LiteLLM proxy, reaching for a hosted model only when a job needs it. What it's not: it's not a SaaS (no hosted version — you bring your own credentials and models), and it's not a framework to build on. It's a complete app you fork and configure for your own life. I'd love feedback from people who've tried to wire agents into their real day — especially on the single-interruption-primitive model and running this on local models. Happy to answer anything.

A solid foundation for anyone who wants durable agents without giving up control of their data. One thing that would make it way more useful for me: a built-in dashboard showing live workflow state and a replay button right from the UI, so I can inspect where a stuck job actually died instead of digging through Temporal logs.

@ayhanyaktqar2 That would be coming in soon.. I'm getting the status from the app by hitting temporal apis. but it gives simple stuff.. you can see the basic status as of now.. you only need to go inside temporal, if you really want to dive deep in logs/steps..

AEGIS

Self-hosted AI agents that interrupt you less

Self-hosted AI agents that interrupt you less