OpenClaw vs Manus: Two Philosophies of AI Agents

AI agents are evolving from chatbots that answer questions into autonomous systems that execute tasks. Instead of just telling you how to order food, an AI agent can actually order it for you.

But not all AI agents are built the same way. Two distinct philosophies have emerged: OpenClaw (an open-source agent you run on your own hardware) and Manus (a cloud-based assistant accessed through an app or chat). The choice between them comes down to a fundamental question: how much control are you willing to give up — and how much technical risk are you willing to take on?

Key Takeaway: AI agents are powerful tools that can automate your digital life — but they also create new security risks. OpenClaw puts you in control of your data, but only if you configure it correctly; thousands of users who didn't have already been exposed. Manus offers convenience at the cost of data ownership. Neither should ever be trusted with banking, passwords, or sensitive document editing.

What Is OpenClaw? The Open-Source AI Agent

OpenClaw is an open-source AI agent framework that runs on your own hardware. It was built by Austrian developer Peter Steinberger in November 2025 as a side project — originally called Clawdbot, then Moltbot, before settling on the name OpenClaw. Within weeks it became one of the fastest-growing open-source AI projects ever, reaching hundreds of thousands of GitHub stars.

In February 2026, Steinberger himself joined OpenAI to work on "next-generation personal agents." Importantly, OpenClaw the project did not become an OpenAI product — it moved into an independent foundation that OpenAI agreed to sponsor, and remains open-source under its existing license.

Core Capabilities

  • Browser automation: Control any website, fill forms, click buttons, scrape data
  • Local app control: Open applications, read files, execute commands (with your permission)
  • Cross-platform messaging: Works with WhatsApp, Telegram, Discord, Slack, and even iMessage
  • Task scheduling: Run automated workflows daily, hourly, or on any schedule
  • Custom skills: Extend functionality through a modular skill system

Who Is It For?

OpenClaw is designed for developers, tech enthusiasts, and anyone who prioritizes privacy and control over convenience. You'll need to be comfortable with the command line, Docker, API keys, and configuration files — and, as the next section explains, with locking the whole thing down properly.

Cost: The software itself is free, but you pay for the AI models that power it (API calls). Running it can be expensive — Steinberger himself reported spending between $10,000 and $20,000 per month at the project's peak. Set spending limits before you start.

The OpenClaw Security Scandal: 200,000 Exposed Agents

OpenClaw's explosive growth came with a serious downside. Shortly before Steinberger's move to OpenAI, security researchers discovered that more than 200,000 OpenClaw instances were exposed on the open internet — running with default credentials, no authentication, and direct access to users' files, passwords, and API keys.

Security analysts at the time called this an "unacceptable cybersecurity risk." The default configuration that made OpenClaw so easy to get running in minutes — a server listening on every network interface with no login required — was the same configuration that left it wide open to anyone who knew where to look.

Why this matters for you: If you self-host OpenClaw (or any similar agent), the default "it just works" setup is very likely not safe to expose to the internet. The convenience that makes these tools popular is the same thing that makes them dangerous when left unconfigured. Treat the security checklist in this article as mandatory, not optional.

The upside: because OpenClaw is open-source and now backed by a foundation, security issues are visible and patchable by the community — unlike a closed cloud service where you have to simply trust the provider's internal practices.


What Is Manus? The 'Plug-and-Play' AI Assistant

Manus is a general-purpose AI agent, accessible via Telegram and a desktop app, that can browse the web, manage tasks, and execute multi-step workflows. Scan a QR code, and you're ready to go — no servers, no configuration, no technical knowledge required.

Manus was originally developed by Butterfly Effect, a startup founded in China and later based in Singapore. In April 2026, Meta announced a roughly $2 billion acquisition of Manus. However, the deal quickly ran into trouble: Chinese regulators objected to the acquisition, and by May 2026 reports emerged that Manus was exploring a buyback to unwind the Meta deal. As of publication, Manus's corporate ownership remains unsettled — readers should treat any "Manus is owned by X" claim as a moving target and check current reporting before relying on it.

Core Capabilities

  • Pre-built task templates: Business analysis, technical development, marketing, content creation
  • Asynchronous task execution: Start a task, close your device, get notified when it's complete
  • Multimodal input: Voice messages, images, documents — all supported
  • Multiple model tiers: A faster/lighter tier for simple tasks and a more powerful tier for complex reasoning

Who Is It For?

Manus targets everyday users who want AI assistance without technical complexity. If you've never used the command line and don't want to learn, Manus-style services are the obvious choice — the trade-off is that your data and tasks live on someone else's servers, under ownership that may change.

Cost: Typically a monthly subscription in the $20-40 range depending on usage tier. No surprise API bills, but you're locked into the provider's ecosystem and pricing — and potentially its corporate ownership changes.

Side-by-Side Comparison

DimensionOpenClawManus
Nature Open-source, self-hosted, foundation-backed Commercial, cloud-hosted
Data Location Your own hardware Provider's cloud servers
Deployment Difficulty High (needs Docker, API keys, config — and security hardening) Low (scan QR code, start chatting)
Price Free + API costs (variable, can be significant) $20-40/month fixed
Data Control Complete user control, if configured correctly Provider controls access and policy
Known Security Issues 200,000+ instances found exposed with no authentication (Feb 2026) No comparable mass-exposure incident reported
Best For Developers and privacy-conscious users willing to secure their setup General consumers who want convenience without setup

The Security Red Line: What AI Agents Should NEVER Do

Regardless of which agent you choose, certain tasks should be permanently off-limits. These are not technical limitations — they're security principles.

DomainOpenClaw Can?Manus Can?Should You Allow?
View bank balance Theoretically yes No NEVER
Execute money transfers Theoretically yes No NEVER
Manage subscriptions Theoretically yes No NEVER
Access SSH keys / passwords Yes, if given path No NEVER
Edit sensitive documents Yes, if given path Via upload Read-only only
Send work emails Yes Yes Non-sensitive only
Manage calendar Yes Yes Safe
Summarize emails Yes Yes Safe
The Golden Rule: Never give any AI agent — local or cloud — access to your banking, passwords, or ability to modify sensitive documents. AI agents are tools, not trustees. The moment you delegate financial authority to an automated system, you lose the ability to audit and control what happens to your money.

How to Deploy OpenClaw Safely

If you choose to self-host OpenClaw, here are practical security measures you should implement — especially given the 200,000-instance exposure incident covered earlier.

1. Never Expose the Default Setup to the Internet

Do not bind OpenClaw (or any agent server) to a public network interface without authentication. Use a firewall, VPN, or SSH tunnel to access it remotely — never expose the raw service port directly to the internet.

2. File System Permissions

Configuration example:
Read-only paths: ~/Documents/readonly/
Read-write paths: ~/Desktop/ai-workspace/
Forbidden paths: ~/Documents/banking/, ~/.ssh/, ~/Library/Keychains/

3. Browser Access Control

  • Allow: Office websites (email, CRM, project management tools)
  • Block: Banking, payment, and cryptocurrency sites
  • Use a dedicated browser profile for AI agent operations

4. System API Restrictions

  • Disable dangerous shell commands (rm -rf, chmod, sudo)
  • Maintain an allowlist of permitted commands
  • Log all command executions for audit

5. Monitor API Usage

OpenClaw users have reported large surprise bills when agents run uncontrolled loops. Set spending limits on your API keys and enable usage alerts.


A Note on Cloud-Based AI Agents

Manus-style cloud agents are convenient precisely because the heavy lifting happens on someone else's servers. That convenience comes with a general trade-off worth keeping in mind for any cloud-based AI agent, not just Manus.

Data Ownership Questions

When you upload a document or start a task on a cloud AI agent, your data resides on the provider's servers. Corporate ownership of AI companies can also change quickly — as the ongoing Meta-Manus acquisition dispute shows — and with it, the policies governing your data.

General Best Practices for Any Cloud AI Agent

  • Treat sensitive documents (financial statements, contracts, ID documents, trade secrets) the same way you would treat a public forum post — assume they could be seen or retained
  • Calendar management, scheduling, content generation, and research on public topics are generally low-risk uses
  • Read the provider's data retention and training policy before relying on it for anything work-related
Pro Tip: Even with a "trusted" cloud provider, assume your data may be used for model training unless explicitly stated otherwise. If you wouldn't post it publicly, don't upload it to a cloud AI agent.

Key Takeaways

#Key Takeaway
1 Local vs cloud is the fundamental choice — OpenClaw keeps data on your hardware but requires technical skill and security hardening; Manus offers convenience but gives up data control.
2 OpenClaw remains open-source despite its creator joining OpenAI — the project moved to an independent, OpenAI-sponsored foundation rather than becoming a closed product.
3 200,000+ OpenClaw instances were found exposed online — with no authentication and access to files, passwords, and API keys. Never run the default setup on a public network.
4 Manus's corporate ownership is unsettled — Meta's $2B acquisition has faced regulatory pushback and a possible unwind. Check current ownership before trusting it with sensitive data.
5 Never delegate banking or password tasks to AI agents — this is a hard security boundary. No exceptions.
6 Sensitive documents should be read-only only — agents can summarize and search, but should never modify them.
7 Monitor usage costs — OpenClaw's API bills can spiral into thousands per month; set spending limits. Manus's fixed subscription is predictable but less flexible.
8 Start small, then expand — test your AI agent with low-risk tasks before granting broader permissions.
Final Thought: AI agents are among the most powerful productivity tools ever created — but they're also among the most dangerous if misconfigured or over-trusted. The difference between a helpful assistant and a security disaster is boundaries. Set them early. Review them often. And never forget: the AI works for you, not the other way around.
Sources (June 14, 2026):
  • CNBC, TechCrunch, Silicon Republic — OpenClaw creator Peter Steinberger joining OpenAI, foundation structure
  • Threatroad / security researchers — 200,000+ exposed OpenClaw instances, default credential risk
  • OpenClawHQ — OpenClaw project history and open-source foundation status
  • TechRadar, AI Magazine — Meta's acquisition of Manus
  • Tracxn, The Business Times — Manus / Meta acquisition dispute and potential buyback
  • Wikipedia — Manus (AI agent) origin and Butterfly Effect background
Published: June 14, 2026. Corporate ownership of Manus was unsettled at the time of writing and may have changed by the time you read this — verify current ownership before relying on any provider's data policies.

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