DeepSenz Personal Agent

Own your agent. Don't rent one.

An agent that works for you around the clock needs a home. Rent one, and it lives in someone else's data center, on someone else's limits. Own one, and it lives on a small Mac in your room, reading your inbox, minding your calendar and working while you sleep, for about the cost of a light bulb.

The cloud still winsThe very newest models, by about four months
Ownership winsPrivate jobs, repeat jobs, and everything that runs all night
Why own it

Six things a subscription can't sell you at any price

Stays on your Mac

Your life stays in your house

When the brain runs on your own Mac, your inbox, calendar and documents stay in the room unless you choose to send a task out. That's the whole point of a local model, and only ownership delivers it by design.

No 5-hour limit · no weekly cap

No "come back later"

Rented plans ration you: a 5-hour window, a weekly allowance, a polite message to try again tomorrow. An agent you own just runs, all day and every day, as much as you need.

≈ $0.53 a month idle

It costs pennies to keep awake

Apple rates the new Mac mini at 4 watts idle and 70 watts flat out. At the average US rate, that's about 53 cents a month idling and about $9 if it worked flat out every hour of the month. Try your own numbers below.

24 / 7 / 365

It works while you sleep

The jobs that matter most to an agent are the boring, repeating ones: triage, reminders, summaries, follow-ups. They happen on a schedule, and an always-on box at home is the natural place to run them.

Paid brain: only when needed

It knows when to call for help

When a job is too hard for the local brain, BrainBridge hands that one task to a paid cloud model, on your account and only if you allow it. You pay for the hard moments, not for the whole day.

Your hardware · your rules

Nobody can change the deal

A rented agent lives under terms that can change overnight: new prices, new limits, a feature removed. The agent you own keeps working the way you set it up, on the model you chose, for as long as you want it.

A night in the life

What an owned agent does between midnight and breakfast

  1. 00:30Files the day's receipts and notes into memory
  2. 02:00Re-reads open threads and drafts follow-ups
  3. 05:00Checks tomorrow's calendar for clashes and travel time
  4. 06:45Hands you a one-page morning brief

Example schedule. Your agent runs the jobs you choose, when you choose.

The open-weight wave

Near-frontier brains you can download and keep

The biggest reason to own your agent arrived this year. Open-weight models from DeepSeek, Z.ai and now Meta publish their weights for anyone to download. They come close to the best rented models, cost a fraction to run, and once the files are on your machine, nobody can take them back.

~4months

How far the best open-weight models trail the closed frontier, on average since January 2026, per Epoch AI. What the most expensive subscription offers today, an open model you can own tends to match within a season.

DeepSeek · China

DeepSeek V4

Size
284B total, about 13B active
License
MIT: use, modify, self-host
Coding
80.6% SWE-bench Verified (V4 Pro)
Rented price
$0.15 in / $0.60 out off peak; $0.30 in / $1.20 out peak per million tokens (V4.1 Flash API)

Small enough per token to be fast, and cheap enough that an agent can think all day for pocket change.

Z.ai (Zhipu) · China

GLM-5.2

Size
753B total, about 40B active
License
MIT, weights on Hugging Face
Context
1M tokens
Standing
Top open model on the Artificial Analysis index (June 2026)

A long-memory workhorse for coding and multi-step agent work.

Meta · United States

Muse Spark Open

Size
816B total, 42B active
License
Muse Model License (attribution, usage policy)
Context
1M tokens; reads text, images, video, audio
Runs on
Two Mac Studios: our Sovereign offering

Meta calls it the most capable US open-weight model to date, and optimized it with Apple's MLX for Mac Studio.

Weights don't get retired

Rented models disappear on the provider's schedule; DeepSeek retired its old API model names in July 2026. A model file on your own drive keeps working.

Switch brains anytime

When a better open model ships, swap it in. Your agent, memory and settings stay put.

Prices only fall

Anyone can host open weights, so they compete on price. DeepSeek's current Flash API prices vary by time of day, and open weights let you choose a host or self-host.

Global models, local data

Run a model built anywhere, in your own room. When it runs locally, your prompts never travel to its maker.

Running cost

What it costs to keep your agent awake

Pick a machine, set your electricity rate, and say how many hours a day it works hard. The rest of the time it idles.

Apple's published figures for the configurations it tested.
US average is about $0.18 (EIA, 2026 forecast).
0 = idles all day · 24 = works flat out nonstop.
$0.00 a month
Energy: 0 kWh a month A full year: $0

Electricity only. Hardware is a one-time purchase; cloud tasks you choose to send are billed by your provider.

Side by side

Renting vs. owning, honestly

Own (DeepSenz on your Mac)Rent (cloud subscription)
Where your data goesStays on your machine winsSent to the provider's servers
Usage limitsNone. Runs all day wins5-hour windows, weekly caps
Monthly running costElectricity: cents to a few dollars wins$20 to $200 a month per seat
Hardest reasoningNear-frontier open models, about 4 months behind; cloud hand-off for the restThe newest frontier models wins
Model choiceAny open model, swapped anytime, never retired winsThe provider's lineup, retired on its schedule
Who sets the rulesYou winsThe provider's terms, which can change
The smart-money move

Before you buy anything, read your own usage

  • Spend one week watching your cloud usage. If you never hit the limit, drop to a cheaper plan today. Same models, more money back.
  • Keep a cloud plan for the genuinely hard work. A small local brain won't beat the biggest models there, and it doesn't need to.
  • Give everything private, repetitive or scheduled to the agent you own.
Choosing the box

Memory decides which brain fits

16 GBSmall models onlyFine for simple, clean jobs.
32 GBThe floor for an agentWhere the bigger, smarter local models start to fit.
64 GB+Faster and roomierMore memory bandwidth, quicker answers, bigger models.
256–512 GBNear-frontier on one Mac StudioBig open models like DeepSeek V4 at 4-bit (our estimate; benchmarked before we sell it).
1 TBDeepSenz SovereignTwo Mac Studios running Muse Spark Open, installed in your home.

Give your agent a home of its own.

DeepSenz sets up your Personal Agent on your own Mac: Hermes and BrainBridge on your Mac, with optional memory modules as they become ready. Deep Recall is a separate, planned life-memory vault.