OpenClaw is impressive.
But it wasn't built for your business.
You've seen the demos. You want that power.
But OpenClaw assumes you're a developer with weekends to burn.
The demos are real
OpenClaw has 230,000+ GitHub stars. People are using it to make money while they sleep, ship apps to the App Store, and rebuild websites from their phone. The results are genuine.
Nat Eliason
@nateliason
"Yeah this was 1,000% worth it... autonomously running tests... capturing errors... opening PRs... The agent generated over $14,000 in about three weeks."
Dave Kiss
@davekiss
"I rebuilt my entire website via Telegram while watching Netflix in bed. Never opened my laptop."
CopyKatCapital
@CopyKatCapital
"Submitted my first app to the Apple App Store, iterating mostly through Telegram, including parts of the TestFlight workflow I didn't even know existed."
Dhruval Golakiya
@DhruvalGolakiya
"Set up a daily loop where my agent reads unread emails every morning, sends a summary, and auto-creates todos that sync to a team CRM."
The 90-second clips on X show the output, but not the weekend you'll spend getting there.
The cost nobody's demoing
OpenClaw assumes a specific kind of user: someone who thinks in systems, enjoys debugging, and doesn't mind spending evenings iterating on tooling.
If that's you, OpenClaw is extraordinary. But many founders don't want to become AI platform operators. They want outcomes, and to spend their time working on their business.
OpenClaw
Terminal setup
$ brew install openclaw
$ openclaw daemon start
$ export OPENAI_API_KEY=sk-...
$ openclaw config set model gpt-4o
$ openclaw gateway --port 3000
$ ssh -R 80:localhost:3000 ...
TOYO
Your Toyo Agent
Here's how it usually goes: you clear a Saturday. You make progress. Something breaks. You debug for two hours. By Sunday evening you have something running, but you've spent your weekend on infrastructure instead of your business. And now you need to maintain it.
21,000+
instances exposed to the public internet
$3,600/mo
documented API bills
500+
rogue messages sent to contacts
200+
emails deleted by a runaway agent
When it goes wrong
These aren't edge cases from careless users. These are engineers and AI safety researchers.
Summer Yue
@summeryue0
"My agent deleted 200+ emails from my primary inbox after weeks of it working perfectly on a test inbox. Context compaction dropped my 'confirm before acting' instruction. I had to physically run to my machine to kill the process."
Swyx
@swyx
"Founders are running agents for inbox triage, and the friction is very real. The gap between the demo and the daily driver is where the pain lives."
"My wife called from the couch: 'DID YOU GET HACKED?' The agent treated my recent contacts list as a target list and fired off over 500 unsolicited messages before I could pull the power cord."
Chris Boyd
Software engineer
Nat Friedman
@natfriedman
"Experimenting with persistent agents. The complexity of keeping them running, in-context, and not going off the rails is genuinely hard. We're early."
Agents need access to be useful. That's also the problem.
A high-severity 1-click exploit chain (CVE-2026-25253) was disclosed that could exfiltrate auth tokens through a single malicious link. The ClawHub skills marketplace has been used for malware distribution. And internet scans tracked exposed OpenClaw instances growing from 1,000 to over 21,000 in under a week.
Prompt injection doesn't require someone to DM your bot. It can arrive through anything the agent reads: web pages, emails, docs, attachments. One compromised email, and the chain reaction reaches everything the agent can touch.
Brave
@brave
"Clawdbot is a powerful tool, but using an always-on AI with such broad capabilities can be a security risk. Here are some tips to minimize the danger."
Rahul Sood
@rahulsood
"Clawdbot Is Incredible. The Security Model Scares the shit out of me."
Daniel Miessler
@DanielMiessler
"As a Security / 98% AI YOLO Maximalist with Guardrails guy, I'm asking you to please listen to this. Here are some of the top security issues with clawd.bot that you all should be avoiding. Don't avoid the project. It's great. But please be safe with it!"
James South
@James_M_South
"Clawdbot feels like something you would explicitly warn elderly relatives not to install. Have we, as an industry, genuinely forgotten basic security principles like trust boundaries, least privilege, and untrusted input?"
Toyo doesn't have these problems:
- Runs in the cloud, not on your machine. Toyo operates in isolated Cloudflare Workers. It has no access to your local files, credentials, or browser data.
- Every task runs in a sandbox. Even if Toyo encounters a malicious prompt, it can't touch your real systems. The blast radius is contained.
- You control what Toyo can access. Grant permissions explicitly. Revoke them anytime. No ambient authority to your entire digital life.
| Security Risk | OpenClaw | Toyo |
|---|---|---|
| File access | All your files | Isolated sandbox |
| Credentials | Can read .env, SSH keys | No access to your machine |
| Browser data | Cookies, history, passwords | Separate browser instance |
| Prompt injection | Your machine at risk | Sandboxed environment |
OpenClaw is single-player by design
The security model of OpenClaw is that it's your PERSONAL assistant (one user - 1...many agents).
There's no concept of user-level context versus organization-level context. An agent can't know that certain information belongs to your head of sales and other information is shared across the company. No permission scoping per team member. If multiple people interact with the same agent gateway, their conversations can bleed into each other.
People have tried running separate OpenClaw instances per person. That works, technically. But now you're managing multiple servers, each with its own credentials, its own memory, its own configuration. You've become an AI platform team, which is the opposite of the leverage you were looking for.
You wanted an AI that does real work. Not a new infrastructure project.
Prospecting
Find leads matching your ICP from LinkedIn, Reddit, funding news, and job postings.
Outreach
Draft personalized messages based on what I learn about each prospect.
Research
Company intel, market analysis, and competitive insights on demand.
CRM
Build and maintain your customer database. No more copying between tools.
Campaigns
Create landing pages, track results, and figure out what's working.
Operations
Data cleanup, follow-up reminders, report generation, competitor monitoring.
Plain language, not code
Same result, no terminal required.
Side-by-side comparison
Still thinking about it? Here's a quick breakdown.
| OpenClaw | Toyo | |
|---|---|---|
| Setup time | Hours to days | Minutes |
| Technical skill | High | None |
| Infrastructure | Self-hosted | Cloud |
| Maintenance | You | Us |
| Security model | Your machine, your risk | Cloud sandbox |
| Team support | Single-player | Multi-user |
| Memory management | Manual | Managed |
| Cost predictability | Variable API bills | Subscription |
You were looking for OpenClaw for your business. This is it.
No installation. No infrastructure. No debugging.
Just sign up, and start giving me work to do.
Questions from OpenClaw users
OpenClaw is an open-source AI agent framework with over 230,000 GitHub stars, created by Peter Steinberger. It lets you run a personal AI assistant on your own hardware that can control your computer, browse the web, manage files, and connect to messaging platforms like Telegram and Discord. It requires technical setup including terminal access, Docker, and API configuration.
OpenClaw itself is free and open-source, but running it requires paying for AI model API calls, which typically cost $50 to $150+ per month for regular business use. Complex workflows can push costs much higher. You also need to factor in hosting costs if you run it on a VPS, and the time you spend on setup, maintenance, and debugging.
OpenClaw's own security documentation describes the project as "both a product and an experiment" and states there is no perfectly secure setup. Known risks include prompt injection through emails and web pages, exposed instances on the public internet, and supply chain attacks through the ClawHub skills marketplace. OpenClaw recommends starting with minimal access and widening carefully.
Yes. OpenClaw requires working in the terminal, configuring Docker containers, managing API keys, and debugging when things break. While coding assistants can help with setup, you are still responsible for infrastructure decisions around hosting, security, model selection, and token budgets. It was built as a developer tool for technical users.
For work operations, yes. Toyo has its own computer and browser, takes real actions, and builds tools on the fly. The difference is that Toyo is specialized for work tasks and runs without any setup on your end. You get the agent capabilities without managing the infrastructure.
OpenClaw is a self-hosted, open-source framework where you manage all infrastructure, security, and maintenance yourself. Toyo is a managed AI agent platform that handles the infrastructure for you. OpenClaw is single-player by design. Toyo is built for teams with user-level permissions, shared context, and private workspaces.
You can run both. Many early Toyo users started with OpenClaw and switched once they realized they were spending more time maintaining the agent than using it. Toyo handles the infrastructure so you can focus on the work itself.
Yes. Toyo is built for teams from day one with user-level permissions, shared context, and private workspaces. OpenClaw is designed as a personal assistant for a single user. Running it for a team means managing separate instances per person, each with its own credentials, memory, and configuration.
Subscription plus usage-based pricing for compute. This is typically less than the combined API bills, hosting costs, and time you spend maintaining OpenClaw yourself.