AI-native from day one

Ecosystems built for AI agents. A control tower to govern them.

One command builds the ecosystem your agents work in — role repos, a shared knowledge base, and starter specialist agents wired to your roles. Start with a project, grow it to a company, and as the team grows, teammates join hubs that show only what they should see. Then the same app governs every agent: safe moves auto-approved, risky ones held for you. No cloud — it runs on your machine.

brew tap actower/brew && brew trust actower/brew && brew install actower

Free tier includes up to 5 monitored agents. No credit card required.

See how it works →
Desktop appThe ACTower desktop app — the Monitor showing agents live across your CLIs
The ACTower desktop app — your agents, live across every CLI. Captured 2026-06-03.

An ecosystem is any size of work — one project, or a whole company with sales and marketing role repos. Same structure, scaled to fit.

From a blank machine to a working setup your whole team runs on.

Step 1Live today
You build the ecosystem

Give your company one short name in the app and preview the whole workspace as a dry-run before it exists — then confirm, and it’s live. You walk away with a founder hub that sees everything, starter specialist-agent templates wired to your roles, a knowledge base in Obsidian, and slash commands for daily work. The environment your agents work in, built in five minutes, not five weeks. You extend the agents. (Developers can run the same headless with actower ecosystem init.)

The ACTower desktop app creating a company — one name, a dry-run preview, then a live workspace
One name → dry-run preview → live workspace. ACTower v1.1.3.
Step 2Live today
You scope your first hire

You bring on someone for sales. You pick the Sales profile, press Invite, and get back a short message to send them. No onboarding doc. No credentials in a DM. No “here’s which agents to install.”

# what they run
actower ecosystem join <invite>
→ scoped hub, sales only
Or they open the actower://join link in the desktop app.
Step 3Live today
They work in a hub that shows only what they should see

They paste the one-liner, confirm the eight-word phrase you read them, and they’re working in their own hub — sales, shared docs, and nothing else. Their agents come pre-wired. They never touched a command that felt scary.

# their first session
CLI → sales specialist ready
hub → sales + shared docs only
Their copies and hub are set up for them on join.

That’s the product: the AI-native workspace, and the controls to run it — in one app, on your machine.

Build the ecosystem. Do the work. Govern every agent.

Your AI workspace, in one app — spin up specialist agents in seconds, scale to a team in minutes, monitor everything in one place.

Create
Build the ecosystem

Name your company once in the app and preview the whole workspace before anything is created — role repos, a founder hub, a shared knowledge base, slash commands, and starter specialist-agent templates wired to your roles. Confirm the dry-run and it’s live. You extend the agents. Start with one project; grow it to a whole company — the same ecosystem, scaled to fit. (It’s how we run ACTower and BOSOPT.)

The ACTower desktop app Ecosystems page — companies created, adopted, and managed in the app
The Ecosystems page — where the one-name quick-create lands. ACTower v1.1.3.
Work
Every CLI, one backend

Run your agents at full speed across every tool — Claude Code, Codex CLI (beta), Google Antigravity CLI (beta), and Cursor (beta) — all in one place. One desktop app, one local web app, one backend: no double-approvals, and a click on any alert jumps straight to the agent that needs you.

The ACTower desktop Monitor showing agents working across the same backend
Every agent, one Monitor. Captured 2026-06-24.
Govern
Your agents’ control tower

Every agent action passes through one control tower: safe moves auto-approved, risky ones held for you, a full audit trail of every decision. Oversight isn’t a bolt-on — it’s how the whole thing stays trustworthy as your team grows. (It’s in the name.)

A native notification: a risky agent action held for a human to approve
A risky action, held for a human. Captured 2026-05-23.

What it does every day.

Last 7 days on our own machines — week ending July 15, 2026.

The ACTower Activity page, Last 7 days — total actions, auto-approved, high-risk, and time saved
The ACTower Activity page — the 7 days ending Jul 15, 2026: 9,945 actions, 3,622 auto-approved, 242 high-risk (1 denied, the rest held for a human), ~37h 55m saved.

High-risk actions — all human-gated.

More than a third of all agent actions are clearly safe and get auto-approved. Everything with risk is surfaced for a human, and every action is logged.

We run our own companies on it.
BOSOPT
last-mile optimization — 18 specialist agents · 10 role repos
ACTower
dogfooded by the team building it

The last release was built by autopilot agents under ACTower's own supervision — every commit dual-reviewed, full audit trail.

“The product rebuilt itself, under its own oversight.”

No cloud, no SaaS shell, runs locally.

ACTower is your company’s AI-native infrastructure — the workspaces your agents work in, and the controls that govern them.

Your CLIs, your accounts, your machine. ACTower reads your terminal the way you do and answers the way you would — nothing proxied or pooled. The agents are the vendors’. The oversight is yours.

No cloud lock-inNo hosted shellLocal audit trailYour keys, your machine

For developers

Headless and scriptable, all the way down

The whole control layer runs from the terminal too. Watch every agent with actower monitor, auto-approve safe actions headless with actower responder --auto, and pipe its classifications into CI or your own tooling. The desktop app and the CLI are the same backend — run it whichever way fits.

Monitor, headless
Classify & respond, headless

Twenty minutes to a working ecosystem

Install, then build your first company. Requires tmux and Python 3.11+ — works on macOS and Linux.

brew tap actower/brew && brew trust actower/brew && brew install actower

Free tier includes up to 5 monitored agents. No credit card required.

Next step
Create your company
actower desktop

Open the app and give your company one short name — preview the whole workspace as a dry-run, then confirm and it’s live: a founder hub, starter specialist agents, a knowledge base, and slash commands. Developers can do the same headless in the terminal:

Simple, transparent pricing

Start free. Upgrade when you need more.

Every plan includes multi-CLI support, auto-approve, the audit trail, the desktop and local web app — and Ecosystems. Plus adds unlimited agents and Custom Safe Rules; Premium adds Autopilot.

Free

$0forever

Auto-approve safe actions with up to 5 agents. No credit card.

  • ✓Up to 5 monitored agents
  • ✓Auto-approve safe actions
  • ✓Desktop app + local web app included
  • ✓Local audit logs
  • ✓Ecosystems — an AI-native workspace: shared knowledge base, specialist agents you define, join by invite
Install Free

Plus

$16/month

Unlimited agents, and auto-approve under your control: teach ACTower your team's own safe commands.

  • ✓Everything in Free
  • ✓Unlimited panes
  • ✓JSON log export
  • ✓Custom Safe Rules
  • ✓Risky actions still held for you
  • ✓Priority support
Get Plus

Premium

Most Popular
$25/month

First 3 months free with code ACTOWER-WEB3

Delegate to agents with oversight. Agents build, agents review — ACTower governs the loop.

  • ✓Everything in Plus
  • ✓Autopilot — automated build/review loop
  • ✓Review-revise mode for your own changes
  • ✓Priority support
Get Premium

Business

Custom

Volume licensing and centralized billing for teams and organizations.

  • ✓Everything in Premium
  • ✓Volume licensing (10+ seats)
  • ✓Centralized invoicing
  • ✓Bulk license keys
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