ClawdBot vs OpenClaw: What's the Difference?

The naming in the OpenClaw ecosystem is genuinely confusing. OpenClaw, ClawdBot, MoltBot — people use them interchangeably, but they're different things. Here's the clean breakdown.

OpenClaw is the core AI agent framework built by Anthropic. It's the open-source CLI tool that reads files, writes code, runs commands, and executes multi-step tasks autonomously.

ClawdBot is a third-party deployment wrapper built on top of OpenClaw. It adds a web interface, messaging integrations (WhatsApp, Telegram, Discord, Slack), a setup wizard, and persistent storage. Think of it as a "hosting layer" for OpenClaw.

They solve different problems for different users.

The History

The naming confusion has a reason. OpenClaw launched in early 2025 as Anthropic's agent framework. The community immediately started building wrappers and deployment tools around it.

ClawdBot started as "MoltBot" — a project that packaged OpenClaw into a deployable bot with messaging integrations. It rebranded to ClawdBot in late 2025 to align more closely with the ecosystem naming. Some documentation and older blog posts still reference MoltBot.

The key thing: ClawdBot runs OpenClaw underneath. It's not an alternative agent framework. It's a layer on top.

Feature Comparison

| Feature | OpenClaw | ClawdBot | | --------- | ---------- | ---------- | | What it is | AI agent framework (CLI) | Deployment wrapper with UI | | Built by | Anthropic | Community (open source) | | Interface | Terminal / command line | Web dashboard + messaging bots | | Installation | npm install -g @anthropic/openclaw | Docker Compose or one-click deploy | | Messaging | None | WhatsApp, Telegram, Discord, Slack | | Web UI | None (CLI only) | Built-in admin dashboard | | Setup complexity | Low (one command) | Medium (Docker + environment config) | | Persistent storage | Session-based | SQLite / PostgreSQL | | Multi-user | No | Yes (via messaging channels) | | Customization | Full (config files, skills, MCP) | Limited to ClawdBot's abstraction layer | | Model support | Any (Claude, GPT, local models) | Primarily Claude (others via config) | | File access | Full local filesystem | Sandboxed within container | | Cost | Free + API costs | Free + API costs + hosting costs | | Target user | Developers | Teams wanting a hosted bot |

When to Use OpenClaw

OpenClaw is the right choice when:

You're a developer working locally. OpenClaw excels at reading your codebase, making changes, running tests, and iterating. It has full access to your filesystem, shell, and development tools.

You need maximum flexibility. OpenClaw supports any model provider, any MCP server, custom skills, and arbitrary tool configurations. ClawdBot abstracts some of this away.

You want the latest features. OpenClaw gets updates directly from Anthropic. ClawdBot depends on the wrapper being updated to support new OpenClaw features, which can lag.

You're automating development workflows. Code generation, refactoring, debugging, CI/CD integration — OpenClaw's native tooling is purpose-built for this.

# Typical OpenClaw usage
openclaw "refactor the authentication module to use JWT instead of sessions"
openclaw "write integration tests for the payment API"
openclaw "find all TODO comments in the codebase and create GitHub issues for each"

When to Use ClawdBot

ClawdBot is the right choice when:

You want to deploy an AI assistant for your team. ClawdBot turns OpenClaw into a chatbot that your team can interact with via Slack, WhatsApp, or Telegram. No terminal required.

You need a web interface. ClawdBot's admin dashboard shows conversation history, usage stats, and configuration options without touching config files.

You're deploying to a server. ClawdBot is designed to run as a persistent service. It handles process management, restarts, message queuing, and connection management.

Non-technical users need access. If your marketing team or operations team wants to use AI agents, ClawdBot's messaging integrations are far more accessible than a CLI.

# Typical ClawdBot deployment
git clone https://github.com/clawdbot/clawdbot
cd clawdbot
cp .env.example .env
# Edit .env with your API keys and bot tokens
docker compose up -d

Once deployed, team members interact via their preferred messaging platform:

• Slack: @clawdbot analyze last week's marketing metrics and create a summary

• WhatsApp: Send a message to the bot number with your request

• Discord: Use the bot in a designated channel

• Telegram: Direct message or group chat with the bot

Architecture Differences

OpenClaw

User → Terminal → OpenClaw CLI → Claude API → Local tools (files, shell, browser)

Everything runs locally. The only network calls are to the model provider API. Your files never leave your machine.

ClawdBot

User → Messaging Platform → ClawdBot Server → OpenClaw Runtime → Claude API → Sandboxed tools

ClawdBot adds a server layer that:

• Receives messages from platform APIs (Slack webhooks, WhatsApp Business API, etc.)

• Manages conversation sessions and history

• Dispatches tasks to an embedded OpenClaw runtime

• Stores results in persistent storage

• Sends responses back through the messaging platform

Cost Comparison

Both are free software. The costs come from infrastructure and API usage.

| Cost Category | OpenClaw | ClawdBot | | -------------- | ---------- | ---------- | | Software | Free | Free | | AI model API | $5-50/month typical | $5-50/month typical | | Hosting | None (runs locally) | $5-20/month (VPS or cloud) | | Messaging platform | N/A | Free (most platforms) | | Total | $5-50/month | $10-70/month |

ClawdBot's hosting cost is the main difference. You need a server running 24/7 to keep the bot responsive. A $5/month DigitalOcean droplet or Hetzner VPS handles light usage fine.

Can You Use Both?

Yes, and many teams do. A common setup:

• Developers use OpenClaw directly in their terminals for coding tasks

• Non-dev team members interact with ClawdBot via Slack for research, content creation, and data analysis

• Automation scripts call OpenClaw programmatically for scheduled tasks

The only overlap is API costs — both hit the same Claude API, so you're paying for token usage regardless of which interface you use.

The Bigger Picture

Both OpenClaw and ClawdBot solve the "running one agent" problem. But as teams scale to multiple agents with different tasks, models, and configurations, you need a management layer on top.

That's what RunAgents is building — a mission control dashboard where you deploy, monitor, and coordinate multiple agents. Think of it as the layer above both OpenClaw and ClawdBot: task assignment, cost tracking, execution logs, and team collaboration in one place.

Frequently Asked Questions

Is ClawdBot made by Anthropic?

No. OpenClaw is the official Anthropic project. ClawdBot is a community-built open-source wrapper that uses OpenClaw under the hood. Anthropic doesn't maintain or endorse ClawdBot.

Can ClawdBot use OpenAI models instead of Claude?

ClawdBot primarily supports Claude since it wraps OpenClaw, which defaults to Anthropic's models. Some forks have added OpenAI support, but it's not a first-class feature. For multi-model support, configure the underlying OpenClaw runtime directly.

What was MoltBot?

MoltBot was ClawdBot's original name before it rebranded. If you see references to MoltBot in documentation, tutorials, or GitHub repos, it's the same project. The codebase was renamed, but some community forks still use the old name.

Do I need to install OpenClaw separately to use ClawdBot?

No. ClawdBot bundles OpenClaw as a dependency. When you deploy ClawdBot via Docker, it includes the OpenClaw runtime inside the container. You don't need a separate installation.

Which one is more secure?

OpenClaw runs locally with full filesystem access — it's as secure as your local machine. ClawdBot runs on a server and sandboxes its operations, which adds isolation but also adds attack surface (the messaging platform integration, the web dashboard, the server itself). For sensitive work, OpenClaw's local-only approach has a smaller attack surface.

Can I migrate from ClawdBot to OpenClaw (or vice versa)?

There's no formal migration path since they serve different purposes. Your ClawdBot conversation history lives in its database. Your OpenClaw skills and config files are just files on disk. Moving between them is more about changing how your team interacts with the agent than migrating data.

Want the best of both without the tradeoffs? RunAgents gives you managed OpenClaw hosting with task management, team collaboration, and agent debugging built in. Get started free

Related Guides

• What Is OpenClaw? -- Deep dive into the framework

• What Is ClawdBot? -- Deep dive into ClawdBot

• ClawdBot Alternatives in 2026 -- Beyond OpenClaw and ClawdBot