OpenAI Dots vs OpenClaw
Quick Answer
This is not really a feature-by-feature contest. OpenAI Dots is a managed product: OpenAI runs the model, the cloud computer, the security layers, and the updates, and you pay through a premium ChatGPT plan. OpenClaw is infrastructure you run yourself: free, open source, model-agnostic, and reachable through the messaging apps you already use, but you own the setup, the security configuration, and the maintenance.
Dots is better suited to ongoing work inside OpenAI’s cloud agent environment with little setup. OpenClaw appeals more to people who want control over where the agent runs and how its models, memory, and integrations are configured, and who are prepared to do the work that control requires.
At a Glance
| OpenAI Dots | OpenClaw | |
|---|---|---|
| Type | Managed agent inside ChatGPT | Open-source, self-hosted agent harness |
| Cost | ChatGPT Pro or Business Premium | Free software; you pay for hardware and models |
| Models | GPT-6 Astra | Any: OpenAI, Anthropic, Google, open models, local models |
| Where it runs | OpenAI’s cloud computer | Your machine, server, or cloud workers you choose |
| Where you talk to it | ChatGPT, Slack, Teams | Telegram, WhatsApp, iMessage, Slack, Discord, web and native apps |
| Setup | Minutes | Guided in 2.0, but you administer it |
| Approvals | Custom Rules, Auto-review on by default | Detailed approvals available; off by default |
| Sandboxing | Managed by OpenAI | Docker or Podman; off by default |
| Team features | Business plans, admin controls | Shared sessions, roles; Enterprise in pilot |
| Updates | Automatic | You upgrade (roughly weekly releases) |
Setup and Maintenance
Dots takes minutes: create your primary dot in the ChatGPT desktop app or web, connect apps, and set rules. OpenAI handles updates, scaling, and the cloud environment.
OpenClaw 2.0 made setup much easier. It can start from your existing ChatGPT, Codex, or Claude CLI sign-in, an API key, or a local model, and checks the model works before saving. But you still run it: you choose the hardware, keep it online, back up its SQLite storage before upgrades, and apply releases that shipped roughly weekly after 2.0.
Model Choice
Dots runs on GPT-6 Astra and you cannot change that. OpenClaw lets you pick any model, mix hosted and local models, and switch providers whenever prices or quality change, which also makes model routing possible. That flexibility is one of the main reasons people choose it.
Memory, Skills, and Integrations
Dots inherits ChatGPT memory and uses ChatGPT plugins, which OpenAI puts at more than 4,000 apps. It can also delegate to ChatGPT Work and Codex.
OpenClaw 2.0 rebuilt memory on a local SQLite engine that can recall context from other private conversations. Skills follow one creation and installation path with review history, admins can install curated ClawHub skills and vetted MCP connectors, and scheduled jobs are now called Automations. Memory lives on your storage, so deleting it and backing it up are your responsibility, which is a real privacy advantage if you manage it well.
Security: Managed Defaults vs Your Configuration
This is the most important practical difference.
Dots ships with protections switched on: proactive research is read-only, Auto-review checks account-affecting actions, and tasks like password changes always stay with you. You tune the rest with an approval policy.
OpenClaw ships with a trusted single operator in mind. Sandboxing and execution approvals are off by default, Secret Store values are not encrypted at rest, and shared-session permissions are not a security boundary between users. The controls exist and are good, including approvals tied to the exact request and person and credential injection that keeps secrets out of model-visible text, but you have to turn them on. For real separation between teams, OpenClaw recommends separate Gateways (“cells”). Read AI permission hygiene before connecting important accounts.
Collaboration
Dots fits teams already on ChatGPT Business Premium or Enterprise, with admin controls and channel access in Slack and Teams. OpenClaw 2.0 added genuinely useful multiplayer sessions where colleagues can join running work or take it over, plus roles from read-only to full access. Its multi-tenant OpenClaw Enterprise control plane, announced September 29, 2026, is still in pilot.
Privacy and Cost
With OpenClaw, everything except the model call stays on infrastructure you control, and with a local model even that stays home. With Dots, data lives in OpenAI’s cloud under your ChatGPT data controls, with business content excluded from training by default.
On cost, Dots is a premium subscription with included compute. OpenClaw is free software plus your hardware and model bills; a capable hosted model used heavily can cost as much as a subscription, while local models trade cost for capability.
Choose OpenAI Dots If
You want a working agent today without administering anything, you are already on ChatGPT Pro or Business Premium, you need strong defaults out of the box, or your team works in Slack and Teams.
Choose OpenClaw If
You want to choose and switch models, keep data on your own hardware, reach the agent through WhatsApp, Telegram, or iMessage, avoid a premium subscription, or customize the harness itself, and you are comfortable configuring security properly.
When Neither Is Ideal
If you want managed convenience in Anthropic’s or Meta’s ecosystem, see Claude Duet or Meta Muse. If you want self-hosting with stricter policy enforcement around the agent, pair an agent with NVIDIA OpenShell. If you are building agents for your own users, a platform like Omnara is closer to what you need.
Final Recommendation
Choose Dots for convenience and safe defaults; choose OpenClaw for control and flexibility. The deciding question is whether you, or someone on your team, will own the security configuration. If not, the managed option is the safer one.
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Frequently Asked Questions
Is OpenClaw a free alternative to OpenAI Dots?
OpenClaw is free and open source, but not free to run. You supply the hardware and pay for whichever model provider you connect, unless you use local models. Dots requires ChatGPT Pro or Business Premium but includes the model, cloud computer, and maintenance.
Can OpenClaw use OpenAI models?
Yes. OpenClaw's setup can start from an existing ChatGPT or Codex sign-in, an API key, or local models through Ollama or LM Studio. It is model-agnostic, so you can also use Claude, Gemini, or open models.
Which is more private?
OpenClaw can be more private, because everything except the model call stays on your infrastructure, and with a local model nothing has to leave it. But that depends on configuring it well: sandboxing and approvals are off by default. Dots keeps data in OpenAI's cloud under ChatGPT's privacy settings.
Which is better for a team?
Dots is easier for a team on Business Premium or Enterprise, with admin controls and Slack and Teams access. OpenClaw 2.0 added shared sessions and role-based permissions, but a single OpenClaw Gateway is not a security boundary between users, and its multi-tenant Enterprise control plane is still in pilot.
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