I run an personal AI agent locally (hermes), and use a combination of local models and whatever model I can get for a reasonable price (usually deepseek).

After using it for a couple months, I'm converted. They're so good, the more you use it, the more useful it is; you internalise more of what it could be used for. It runs so many boring parts of my life, leaving me with more time to spend with my family.

I liken it to release of the first iPhone; it didn't invent any new technology, but packaged different bits of tech together in a way that was consumer friendly. I think we'll look back at OpenClaw/Hermes/Muse/Instinct in the same way.

I do worry about using purely cloud based offerings like Muse, I reckon there is a market for someone to package an consumer AI agent that lives on your home network.

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ad_fontes 3 hours ago | parent | next [-]

Whenever this comes up, all I ever see are hand-wavy responses like this. "It does everything", "it changes your life." But how exactly? Because I can only see this being true for the terminally online.

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sksksk 2 hours ago | parent [-]

That's fair, I'll give a couple of example of things that I've used it for...

I built an app (in codex), that goes through my emails, pulls out any receipts, and adds the purchases to a sqlite database. I do all my grocery shopping online (through my supermarket), so our weekly shop is stored in the database.

Hermes uses that to predict what items will need restocking (based on how often I buy it, and when I last bought it).

Every week, it logs into the supermarket website on my behalf, books a delivery slot, and adds all the items that need restocking to the shop.

Throughout the week, if I run out of something, I take a photo of the barcode and send it to hermes, it adds it to the shop for me.

I built a similar app for travel; if I have any upcoming travel, hermes will send me updates (delays, platform changes etc...). I do a lot of train travel for work, if my train is delayed, it will automatically apply for the compensation on my behalf.

It reads my emails, and pulls any actionable items out, and adds it to an Asana list. I can either do the tasks myself, or assign it to Hermes and it will do it for me. As an example, I had an task to book swimming lessons for my son, hermes monitors the swimming lesson availability and automatically booked it when a suitable one becomes available.

Shopping is a good use case, I have a clock that needed a new battery, it wasn't a standard battery, and required a screwdriver to open the compartment. I took a photo of the clock, sent it to hermes, and it found out what battery took and ordered it of Amazon for me.

I wanted to buy some smart thermostats for our radiators, but wanted to be compatiable with our current smart heating system. Hermes is connected to my home assistant, so it figured out what heating system we have and found a compatiable set of eBay (this is slightly more involved than it sounds, as there is a new version of the heating system with a new set of completely incompatiable accesories).

I don't think "it does everything" or that it has "changed my life", but all of those examples are chores, things that I don't particularly enjoy doing; and if something can take it off my plate, then it's useful for me.

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gherkinnn 2 hours ago | parent | next [-]

Your thermostat and non-standard battery are examples of LLMs being helpful.

As for the rest, that is a lot of tokens burned to keep a fridge stocked.

	▲	sksksk an hour ago \| parent [-]
		It doesn't burn that many tokens, as most of the code is deterministic. Receipt emails are in a predictable format, so codex built scripts to parse the emails. If there is a receipt email it doesn't recognise, it will use an LLM to build a parser for that kind of email once. The agent also "self improves", so after asking once to get items to restock, it wrote a skill with the query it used in, so it doesn't burn tokens figuring it out again. I was impressed that after it logged into my supermarket account, it inspected the network traffic and discovered a GraphQL API, and used that (instead of screen scraping); much more economic. I've averaged 2.6 cents a day in token costs over the last month.

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convict an hour ago | parent | prev [-]

When i run out of something to buy from the store, i type it in the notes app on my phone

	▲	sksksk an hour ago \| parent [-]
		When I need to change the channel, I just get up and walk over to the television.

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skohan an hour ago | parent | prev | next [-]

I think the promise of personal AI agents is incredible, and they can already be super useful. But we haven't even begun to figure out the safety side for a mass audience.

Even as an experienced developer, sandboxing an agent is not trivial. The idea of my aunt, who has her passwords on a post-it-note on her monitor and forwards me scam emails using these things is terrifying.

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ctolsen 2 hours ago | parent | prev | next [-]

I am the opposite. I work with LLMs all the time but don’t use them much at all personally. Not for lack of trying, I’ve tried several times with different frameworks and I just can’t find a use case that is remotely worth it.

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sreejithr 3 hours ago | parent | prev | next [-]

That's pretty much what Openpod.live is doing

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ulfw 3 hours ago | parent | prev [-]

Oh I convinced now!

I'll use personal agents for my laundry now. Thanks mate for the samples given

	▲	sksksk 2 hours ago \| parent [-]
		no need to be rude, see my reply to a sibling comment for examples