OpenWorker
OpenWorker is a local-first, open-source AI desktop coworker that executes real-world tasks across your files and applications to deliver finished outcomes. Instead of providing chat responses, it automates workflows like drafting documents, managing calendars, and triaging emails by breaking goals into steps and requiring human approval for consequential actions.
Launched in July 2026, the tool recently added built-in security agents for vulnerability scanning, dependency analysis, and cloud configuration audits.
As of
- Local-first architecture for privacy with data and keys stored on-device
- 25+ native connectors including Slack, Jira, GitHub, Gmail, and Google Calendar
- Approval-gated execution for safe automation of writes, shell commands, and external messages
- Model-agnostic design supporting cloud providers and local models via Ollama
- Support for scheduled automations and bidirectional Slack integration
Knowledge workers, developers, and teams needing secure, autonomous agents for repetitive tasks like report generation, inbox triage, and project management.
Teams requiring a managed, enterprise-governed SaaS platform with centralized audit logs, SSO, or vendor-supported SLAs.
Open-source and free to use; users pay their own model providers directly for API usage, or use local models via Ollama at no cost.
A robust, privacy-conscious choice for users who want to automate desktop workflows without sacrificing data control, though it remains in beta with some polishing needed for Windows and general stability.
Is OpenWorker free?
Yes - OpenWorker is Free. Open-source and free to use; users pay their own model providers directly for API usage, or use local models via Ollama at no cost.
What is OpenWorker best for?
Knowledge workers, developers, and teams needing secure, autonomous agents for repetitive tasks like report generation, inbox triage, and project management.
Who makes OpenWorker?
OpenWorker is developed by Andrew Ng / OpenWorker. It is listed in the AI-Native IDEs & Editors category on ai.dosa.dev.
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