OpenWorker OpenWorker
OpenWorker is a local-first, open-source AI desktop coworker that executes multi-step tasks across local files and integrated applications. Rather than just providing chat responses, it delivers finished work like documents, reports, and calendar updates while requiring human approval for consequential actions.
The project recently added specialist security-focused features, including integrated deterministic vulnerability scanning for codebases and dependency analysis.
As of
- 25+ native integrations including Slack, GitHub, Jira, Notion, and Google Calendar
- Model-agnostic architecture supporting various cloud APIs and local Ollama models
- Approval-gated execution for high-risk actions like file writes and network requests
- Automated scheduling for recurring tasks like morning briefs and status reports
- Built-in vulnerability scanning for codebases and dependencies
Knowledge workers and small teams needing to automate repetitive cross-tool workflows while maintaining strict data privacy and local control.
Teams requiring a fully hosted SaaS platform with centralized administration, managed security/compliance programs, or users needing Linux support.
The software itself is free and open-source under the MIT license; users pay for their own third-party model API keys or use local models (e.g., Ollama) at no per-token cost.
A robust, privacy-focused desktop agent that bridges the gap between chat interfaces and finished-work automation, though it remains in beta with some platform-specific limitations.
Is OpenWorker free?
OpenWorker is Freemium. The software itself is free and open-source under the MIT license; users pay for their own third-party model API keys or use local models (e.g., Ollama) at no per-token cost. Check the official site for current plans.
What is OpenWorker best for?
Knowledge workers and small teams needing to automate repetitive cross-tool workflows while maintaining strict data privacy and local control.
Who makes OpenWorker?
OpenWorker is developed by OpenWorker (Andrew Ng). It is listed in the AI-Native IDEs & Editors category on ai.dosa.dev.
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