Runwork
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Runwork vs

Runwork vs OpenClaw

Runs on your machine. Runwork is the team layer you would otherwise build under it.

Quick Verdict

OpenClaw is a strong personal agent. Local, open source, deep system access, thousands of community skills, and it is yours. What it does not have is the team half, and that half is exactly what you end up building yourself: shared storage, credentials for more than one person, permissions on what agents can touch, an audit trail, and something that keeps running while your machine sleeps. Runwork is that layer, and OpenClaw connects to it over MCP. They are not competing.

Overview

OpenClaw runs locally, reaches your files and your shell, works through the messaging apps you already use, and remembers context between conversations. For one person automating their own work that is a lot of power in one place, and none of your data leaves the machine. It stops at the edge of your laptop. The moment someone else needs the same thing, you start building the layer underneath: shared storage, credentials the whole team can use, permissions, an audit trail, something always on, and a way for everyone's agent to reach it instead of only yours. That is what Runwork is. Every Runwork app exposes an MCP server, so OpenClaw, Claude, Cursor, or anything else that speaks MCP can work with your team's data and take action on it. Additive, not a replacement.

OpenClaw is a AI Agent Framework.

Runwork Strengths

  • Shared by default. What one person's agent works out, every teammate's agent can use.
  • Always on. Schedules and workflows keep running while your machine sleeps.
  • Your own agent builds against the workspace, and what it makes deploys for the whole team.
  • Entities and file storage, so the data has a real place to live instead of a local folder.
  • Every app auto-generates an MCP server. Point OpenClaw or any MCP client at it.
  • 3,300+ integrations with credentials managed once for the team, not per laptop.
  • Roles, permissions, and audit logs on everything agents can touch.
  • Managed hosting with custom domains, SSL, versioning, and backups.

OpenClaw Strengths

  • Runs locally. Your data never leaves your machine.
  • Thousands of community skills for personal automation.
  • Works through messaging apps you already use (WhatsApp, Telegram, Slack).
  • Deep system access: files, shell, browser automation.
  • Persistent memory across conversations.
  • Open source, with a large and fast-moving community.

Feature Comparison

Core Approach

Feature Runwork OpenClaw
Built for A team One person
Runs locally -
Keeps running when your machine sleeps -
Primary interface Your own AI tools (MCP), desktop, web, CLI Chat / messaging apps
Multi-user / team support Single user

Building & Creating

Feature Runwork OpenClaw
Apps your agent builds and deploys for the team -
Built-in database (entities) -
UI components (tables, forms, charts) -
Custom domains & SSL -
Shell & file system access -

AI & Automation

Feature Runwork OpenClaw
Skills every teammate's AI picks up -
MCP server support As client
MCP client support
Scheduled automations Via skills
Workflow engine -
Community skill library skills.sh + MCP Registry Thousands of skills

Data & Integrations

Feature Runwork OpenClaw
Entity database -
Pre-built integrations 3,300+ Via skills
File storage Managed cloud Local filesystem
API exposure Auto-generated REST + MCP -

Team & Security

Feature Runwork OpenClaw
Multi-user workspaces -
Role-based access control -
Audit logs -
Managed infrastructure Self-hosted
Local-first privacy -

Which Tool is Right for You?

Choose Runwork if you need...

  • * The team half you would otherwise build: shared storage, credentials, permissions, audit
  • * Work that has to keep running when the laptop is closed
  • * What one person works out reaching every teammate's agent, not only their own
  • * Exposing your team's data and actions to any MCP client, including OpenClaw
  • * Managed hosting with custom domains, SSL, versioning, and backups

Choose OpenClaw if you need...

  • * Personal automation on your local machine
  • * Local-first privacy where data never leaves your device
  • * Power-user shell scripting and browser automation
  • * Messaging-based task delegation via WhatsApp, Telegram, or Slack
  • * Building and sharing open-source AI skills

How to Migrate from OpenClaw

There is no migration. Keep OpenClaw exactly as it is. Put the shared parts in Runwork, expose them over MCP, and let OpenClaw (or any MCP client) use them. This is additive.

1

Ask your own agent for the tool you need

Claude, Cursor, Codex, or OpenClaw itself builds it against your workspace. Runwork holds the data, the permissions, and the hosting, so it runs for the team rather than on one machine.

2

Runwork auto-generates an MCP server

Every Runwork app automatically exposes its entities, endpoints, and workflows as an MCP server. No extra setup needed.

3

Connect OpenClaw to your Runwork MCP server

Point OpenClaw at your Runwork app's MCP endpoint. OpenClaw can now see your business data and available actions.

4

Ask OpenClaw to work with your business data

Query your CRM from Telegram. Trigger a workflow from WhatsApp. Update records via chat. OpenClaw becomes the conversational interface to your Runwork apps.

Frequently Asked Questions

Can I use OpenClaw with Runwork?
Yes, that's the whole point of this page. Runwork apps auto-generate MCP servers. OpenClaw connects as an MCP client. You get OpenClaw's conversational interface working with Runwork's business infrastructure.
How does MCP connect them?
MCP (Model Context Protocol) is a standard for AI tools to communicate. Runwork apps expose MCP servers with your entities, endpoints, and workflows. OpenClaw (or Claude Desktop, Cursor, or any MCP-compatible tool) connects as a client and can query data, trigger actions, and interact with your apps.
Is Runwork a replacement for OpenClaw?
No. They sit at different layers. OpenClaw is a personal agent that runs locally and works through chat. Runwork is the layer underneath a team: shared data, integrations, permissions, audit, and a runtime that does not stop when a laptop closes. Run both and you get OpenClaw at the front with a real team layer behind it.
What about security?
Different approaches for different needs. OpenClaw runs locally, so your data stays on your machine, which is great for personal privacy. Runwork provides managed infrastructure with role-based access, audit logs, encryption, and authentication, built for team and business use. When connected via MCP, Runwork's auth layer controls what OpenClaw can access.
Do I need to be a developer to use these tools?
OpenClaw asks for some technical comfort, since it runs locally and uses shell commands. Runwork does not, because you never work in Runwork directly. You talk to the AI tool you already use, it builds against your workspace, and the result lands somewhere the team can run it. Runwork itself never chats with you and never generates anything on its own.

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