Compare/Head to head

Coworker vs OpenClaw

Same facts, side by side: starting price, free tier, MCP, API and what each one is actually built for.

Coworker

Free Free tier

Free, open-source desktop app for running a small team of AI coworkers on your own computer, with reviewed memory, skills, plain-language schedules and approval gates, reachable from Telegram or Discord. No subscription; you only pay for a cloud model if you choose one. Best for recruiters and agency owners who want a private desktop assistant without self-hosting a server.

Where Coworker fits

  • Recruiters who want a private desktop AI assistant
  • Agency owners testing AI coworkers without a monthly seat fee
  • Teams that want local models so data stays on the machine

OpenClaw

Quote Free tier

OpenClaw is the best-known open-source personal AI agent: it runs on your own machine, lives in WhatsApp, Slack or Telegram and remembers your work between chats. Free under the MIT license; you pay only for the AI model you plug in.

Where OpenClaw fits

  • Technical recruiters and agency owners happy to self-host
  • Teams that want an agent in Slack or WhatsApp without a monthly seat fee
  • Builders creating their own recruiting desk assistant

At a glance

DetailCoworkerOpenClaw
Starting priceFreeQuote
Free tier✓Yes✓Yes
MCP server–No–No
Public API–No–No
Listed underAI assistantsAI assistants

Where they pull apart

Coworker

Stands out: It is a normal desktop app rather than a server you have to host, and it runs entirely on local models through Ollama or LM Studio if you want candidate data to stay on your machine. Every memory change, browser task and consequential action waits for your approval.

Watch out: It is a young one-developer project at version 0.7 with a small user base, the installers are not code-signed so Mac and Windows warn on first launch, and you install updates by hand. Recruiting skills are not built in, so you add or write your own.

Not the right fit for

  • Teams that need a supported, code-signed app
  • Anyone wanting ready-made recruiting workflows
  • Shared team use across many machines without setup

OpenClaw

Stands out: Nothing is locked to one vendor. You choose the model, keep the agent's memory as files on your own hardware, and extend it with community skills. Recruiters already build desk assistants on it, RecruiterClaw being one example.

Watch out: You install and secure it yourself. Researchers found tens of thousands of OpenClaw instances exposed on the public internet, so keep it off open ports, review third-party skills and think hard before giving it candidate data.

Not the right fit for

  • Non-technical users who want a hosted app
  • Teams without anyone to own security and updates

Pros and cons

Coworker

  • Free and open source with no subscription
  • Runs fully on local models if you want
  • Approval gates on memory, browser and actions
  • Young one-developer project
  • Installers are not code-signed
  • No built-in recruiting skills

OpenClaw

  • Free and open source under MIT
  • Works with any hosted or local model
  • Huge community and skill library
  • You install, host and secure it yourself
  • Exposed instances are a known security risk
  • Model usage costs vary with how hard you work it

What each one costs

Coworker

Free

Coworker is free and open source under the Apache 2.0 license, with no subscription. Your cost is any cloud model you connect with your own key; local models through Ollama or LM Studio cost nothing to run. The developer offers paid setup and customisation for teams. Confirm current terms on the vendor site.

Checked 23 Oct 2026

OpenClaw

Quote

OpenClaw is free and open source under the MIT license. Your cost is the AI model you connect (your own API key or a local model) plus any server you run it on. Confirm current terms on the vendor site.

Checked 16 Oct 2026

Common questions

Can you try Coworker or OpenClaw for free?
Coworker and OpenClaw carry a free tier on our listing.

Not the pair you wanted?

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Editorial listings, never paid rankings. Prices checked 23 Oct 2026. Confirm current terms on the vendor site. Spot an error?