New framework · Agent OS · $0 / month

The Free Agent OS Engine™.

Run a whole operating system of AI agents for $0 a month — forever. Free local models, free APIs, the CLIs you already pay for, token optimization, and free memory. Here's the exact stack I run every day.

See the 5 free power sources ↓ Get it done-for-you
A glowing golden engine core powered by flowing rivers of free light, no meter, in a refined dark workshop — the Free Agent OS Engine
cost $0 / mo local model 100% offline free APIs plug in your CLI already paid memory free (Obsidian)
The 5 free power sources — open them yourself ↓
My story · why this matters

I was scared to run my agents. Now they run all day for free.

Before

Every time an agent ran, a meter started ticking.

I'd watch the token bill climb on the big jobs and feel it in my chest.

So I rationed my own AI — short prompts, fewer agents, "don't loop it overnight."

I was paying for ChatGPT, paying for Claude, and STILL paying again per token to run anything on top.

The whole point of an Agent OS is to let it run. And I was too scared of the bill to let it.

Then I rebuilt the whole engine to run on free power.

After

Now a free model on my own Mac does the everyday 90% — offline, nothing leaving the machine.

Free APIs handle the rest, and the frontier work runs through the Claude CLI I already pay for — so I'm never paying twice.

My agents loop all night and the bill at the end of the month is the same: zero.

I stopped rationing. The OS finally runs the way an OS is supposed to.

You can run yours the same way. Same free parts. Same Mac you're reading this on.

The receipts

Why listen to me on running AI for free.

I run an operating system of AI agents every single day — across a seven-figure agency and a community of thousands — and I test every free part of this stack on my own machine before I tell anyone to use it.

3,900+Founders in AIPB
400kYouTube subscribers
163kX followers
38Countries · live members
29kUdemy students

I'm not going to paste invented quotes here. The wins are real and written by the members themselves — agency owners, ecom founders, course creators, solo operators across 38 countries. Read them in their own words.

Read the 158-page wins doc →
Before you scroll on —

Commit to unplugging the meter today.

You've seen the before and after. The whole point of this guide is that you stop renting the AI you could be running for free.

So here's the deal. If you're reading this, promise yourself one thing right now — you're going to wire in one free power source before you sleep tonight. Just one. One free model, one free API, or one CLI you already pay for.

Because the moment you do, something flips in your head. AI stops being a meter that's running and starts being an engine you own.

The people still sending every job to a paid API are paying a tax they don't need to pay. The people who own their engine are the ones who'll look back in six months and say "that was the moment I stopped renting."

Be one of those people. Unplug one meter today — this changes how you run AI for good.

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The framework · The Free Agent OS Engine™

Five free power sources. One engine.

An Agent OS that costs nothing to run isn't one trick — it's five free power sources feeding the same engine. Each one is a plain thing you switch on. Together, the meter never starts.

i.

Free local models

A capable model lives on your own Mac through Ollama and does the everyday 90% — drafts, builds, classifying, routing — offline, private, and free no matter how many times you run it. You stop paying for the easy work.

ii.

Free APIs

When you want cloud scale, free-tier models slot in as profiles — at $0. You get bigger-model quality for the jobs that need it without a per-token bill, and swap them out the day a better free one drops.

iii.

The CLIs you already pay for

Your Claude subscription already includes the Claude Code CLI. Agent OS plugs straight into it — so for frontier work you use what you've already bought instead of paying a second time per token. Same for any paid CLI you own.

iv.

Token optimization

A token-optimization layer trims what each job actually sends, so even the paid calls cost a fraction — and you stay inside the free tiers far longer. Less waste in means a smaller bill out, every single run.

v.

Free memory

Your business context lives in a free Obsidian vault wired into the OS. Every agent reads your goals, your clients, your voice — for free — so you never burn tokens re-explaining who you are. The memory that makes agents smart costs nothing.

FIVE FREE POWER SOURCES · ONE ENGINE · MANY AGENTS Free local model Free APIs CLI you already pay for Token optimization Free memory Agent OS $0 / month build agent research agent loop · all night five free inputs · the meter never starts · the agents never stop
The whole engine — fed by five free sources, running as many agents as you want, for $0
The shift

How most people run AI vs how the engine runs it.

The rented way

~$200+/mo
  • Every agent run starts a per-token meter
  • Pay for ChatGPT, pay for Claude, THEN pay again per token to build on top
  • Ration your own AI — short prompts, fewer agents, "don't loop it"
  • Private client data leaves your machine to get worked on
  • Hit a rate limit mid-build and stop
  • Result: an Agent OS you're too scared of the bill to actually run

The Free Agent OS Engine

$0/mo
  • A free local model does the everyday 90% — offline, nothing leaves the Mac
  • Free APIs plug in for cloud scale at zero cost
  • Frontier work runs through the Claude CLI you ALREADY pay for — never twice
  • Token optimization trims every job so even paid calls cost a fraction
  • Free Obsidian memory means agents never burn tokens re-learning your business
  • Result: let it loop all night — the month-end bill is still zero
So I just never use Claude or the paid models again?

No — you still use them, for the hard 10% where they're the sharpest tool in the box. The point isn't "never pay." It's "stop paying for the 90% you don't need to." Local handles the everyday work for free, free APIs cover the middle, and when you reach for the frontier you go through the subscription CLI you already bought — not a second meter. You keep the power. You drop the tax.

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Power source i · free local models

A frontier-class coder on your own Mac. Offline. Free.

Start here, because this is the one that kills most of the bill. Inside Agent OS there's a Local Hermes Engine — it runs a capable open model on your own machine through Ollama, gives it a workspace, and previews whatever it builds, live. Nothing leaves the Mac. Nothing costs a cent.

I run real open coders here — Ornith 1.0, Qwythos 9B, Gemma-4 — and I benchmark them on their own local leaderboard so you can see exactly what a free laptop model can do. The everyday 90% of agent work never touches a paid API again.

The Local engine in Agent OS — a model running 100% on the Mac, offline and free, with a build-and-preview workspace
My real Agent OS · the Local engine — "100% on your Mac · offline · free", build by voice, preview live
Won't a local model be too weak to be useful?

For the everyday 90%, no. The open coders I run on a laptop now score next to models many times their size — I test them head-to-head on my own local bench. They draft, build, classify, and route just fine for free. You keep a frontier model for the hard 10% — but you stop renting it for the easy work it was overkill for anyway.

Power source ii · free APIs

Cloud-scale models, wired in for free.

When a job wants more muscle than the laptop, free-tier cloud models slot straight in as Agent OS profiles — at $0. There are strong free coders on OpenRouter, and I run a fast cloud build engine on a coding plan that doesn't bill per token. You point one setting at a free model and the whole OS uses it.

The best part: when a better free model drops next week, you swap one line and the whole engine upgrades — no new bill, no migration. Free is a moving target, and the OS rides it for you.

A free cloud model wired into Agent OS as its own tab, streaming output at zero per-token cost
My real Agent OS · a cloud model wired in as its own engine — pointed at a no-per-token-bill plan
Free models always rate-limit me right when I need them.

That's exactly why the engine has FIVE power sources, not one. If a free API throttles, the OS falls back to your local model — which has no limits at all — or another free profile. You're never stuck waiting on a single free tier, because there's always a free fallback already wired in. One throttles, the next picks up.

EVERY JOB ROUTES TO THE CHEAPEST CAPABLE SOURCE A job comes in how hard is it? Everyday 90% → free local model offline · unlimited · $0 The middle → free API cloud scale · free tier · $0 Hard 10% → the CLI you already pay for your Claude sub · no second meter
The router sends easy work to free local, the middle to free APIs, and only the hard 10% to a CLI you've already bought
Power source iii · the subscriptions you already own

Stop paying twice. Use the CLI in the sub you already bought.

This is the one almost everyone misses. You're probably already paying for a Claude subscription. That subscription already includes the Claude Code CLI. Agent OS plugs straight into it with a one-time sign-in — so when an agent needs frontier muscle, it runs through the plan you've already paid for, not a separate per-token bill.

You sign in once. From then on, the OS drives the CLIs you own — Claude, and any other paid CLI you have — as part of the same engine. It's not a new cost. It's finally getting full use out of a cost you already carry.

Wait — my Claude plan already includes the CLI?

Yes. The Claude Code CLI comes with the Claude subscription you may already be paying for. Most people use it only inside a terminal for coding. Agent OS connects it to the whole operating system — so the same plan that you bought for chatting now powers your research agent, your build agent, your overnight loop. You sign in once and you're done. No extra spend, ever.

Power source iv · token optimization

Trim the waste. Pay a fraction for the same result.

Most token bills are mostly waste — the same context shoved into every prompt, whole files sent when a snippet would do, agents re-reading things they already know. A token-optimization layer (think Headroom) sits in front of your calls and trims what each job actually sends.

Less waste in means a smaller bill out, every run. It also means your free tiers last far longer before they throttle — so the free parts of the engine carry even more of the load. You get the same output for a fraction of the tokens.

Isn't shrinking the context going to make the answers worse?

It makes them better, usually. A bloated prompt buries the actual task under noise the model has to wade through. Trimming to what matters means the model spends its attention on your real ask, not on re-reading the same boilerplate for the hundredth time. You send less, you pay less, and the answer is sharper — not weaker.

Tokens sent per job · before vs after trimming · lower is cheaper
Raw (no trim)
100%
Trimmed context
~42%
+ free local first
~8%

Illustrative: trimming alone cuts most of the waste; routing the easy work to the free local model first means only a sliver of jobs ever hits a paid token at all.

Power source v · free memory

The memory that makes agents smart — for free.

An agent with no memory of your business is a stranger you re-train every session — and re-training burns tokens every time. The fix costs nothing: a free Obsidian vault wired into Agent OS as shared memory. Your goals, your clients, your offers, your voice — all in plain notes the whole OS reads.

Now every agent already knows who you are before you say a word. You stop spending 20% of every prompt re-explaining context, and the answers come back grounded in your real business instead of generic. Free memory is the quiet multiplier on every other power source.

The Memory surface in Agent OS — a free Obsidian vault wired in as shared memory every agent reads
My real Agent OS · the Memory surface — a free Obsidian vault every agent reads, so nobody re-learns my business
THE FREE MEMORY LOOP · IT ONLY GETS SMARTER Obsidian vault goals · clients · voice · free build agent research agent outreach agent every agent writes back what it learns — the memory compounds, free, forever
Read your business → do the work → write back what's new. The free vault makes every agent smarter over time.
want my exact engine, already wired?

Get the Free Agent OS Engine done-for-you.

You can build every piece of this yourself — that's the whole point, and this guide shows you how. But if you'd rather skip the wiring and run my exact setup, it's all done-for-you inside the AI Profit Boardroom.

The full Agent OS — the dashboard that runs all five free power sources as one engine
The Local Hermes Engine — free offline models (Ornith, Qwythos, Gemma) wired and ready
Free API profiles — cloud-scale models plugged in at $0, swap-in-one-line
Your CLI, connected — the Claude Code CLI from the sub you already pay for, one sign-in
Token optimization — the trimming layer + the playbooks to cut usage to the bone
Free Obsidian memory — the vault setup so every agent knows your business
The zip + every prompt — the whole build, copy-paste ready
4 coaching calls a week — set it up together, live, step by step

You're not buying a tool. You're getting the whole free operating system I run a seven-figure business on — and a room of 3,900+ founders across 38 countries building with it right now.

Get the Agent OS →
Inside the AI Profit Boardroom · skool.com/ai-profit-lab
Set up in an afternoon · used in 38 countries · new free models added the week they ship
✦
The mindset shift

Three beliefs to drop.

Wrong: "Running an Agent OS costs a fortune in tokens."

Right: It runs on free power. A free local model does the 90%, free APIs cover the middle, and the hard 10% uses the CLI you already pay for. The meter barely starts.

Wrong: "Free means weak — I'll get worse results."

Right: Free local coders now score next to models many times their size, and free APIs give you cloud scale. You keep a frontier model for the hard part — you just stop renting it for the easy 90%.

Wrong: "Setting this up is too technical for me."

Right: Most of it is sign in once and point one setting. Inside the Boardroom it comes done-for-you, with coaching calls where we wire it together. If you can install an app, you can run this.

Don't take my word for it

158 pages of members who already stopped renting their AI and started running their own engine — real businesses, real wins, written in their own words.

Read the 158-page testimonials doc →
The objection everyone has

"Doesn't Agent OS burn a fortune in tokens?"

Doesn't running Agent OS burn a fortune in tokens?

No — that's the biggest myth about it, and this whole guide is the answer. Agent OS runs the everyday 90% on a free local model (on your own machine, $0, nothing leaving it), free APIs slot in for more, and for the frontier work it drives the CLIs you already pay for — your Claude subscription already includes the Claude Code CLI, and Agent OS plugs straight into it, so you're not paying twice. It's a layer on top of what you already own, not a new meter. And inside the AI Profit Boardroom there are full token-optimisation and token-efficiency tutorials, so you learn to cut usage to the bone and never think about it again.

Agent OS Mission Control — every agent, every memory, every signal in one dashboard, running free
My real Agent OS · Mission Control — every agent and every free power source on one screen
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The recap

What you just unplugged.

i.

You stopped paying for the 90%

A free local model does the everyday work — offline, unlimited, $0. The bulk of the bill is just gone.

ii.

You got cloud scale for free

Free-tier APIs plug in for the middle jobs, and swap in one line when a better free one drops.

iii.

You stopped paying twice

Frontier work runs through the Claude CLI in the sub you already bought — not a second per-token meter.

iv.

You cut the waste

Token optimization trims every job, so even the paid calls cost a fraction and free tiers last longer.

v.

You got free memory

A free Obsidian vault means agents know your business cold — no tokens burned re-learning who you are.

vi.

You can finally let it run

Loop it all night. The month-end bill is still zero. That's the whole point of an OS — and now you can afford it.

Stop renting your AI. Run your own engine — free, forever.
your move

Build it free. Or get mine, done-for-you.

Here's the honest truth: every piece of the Free Agent OS Engine is something you can wire yourself, for free — Ollama for the local model, a free API profile, your existing Claude CLI, a token-trim layer, and an Obsidian vault. This guide is your map. Go build it.

But if you'd rather not lose a weekend to wiring — if you want my exact engine running by tonight — that's what the AI Profit Boardroom is for. You get the full Agent OS with all five free power sources already connected, the zip file, every prompt, the Obsidian memory setup, the token-optimisation playbooks, and four coaching calls a week where we set it up together. Every new free model that drops, I wire in and you get it the same week.

It's not another subscription stacked on your pile. It's the system that lets you cancel the per-token tax for good — the whole operating system I run a seven-figure business on, in a room of 3,900+ founders across 38 countries.

Get the Agent OS →
Inside the AI Profit Boardroom · skool.com/ai-profit-lab
Set up in an afternoon · 4 coaching calls a week · used in 38 countries