OpenCowork is a local-first desktop runtime designed for teams that require reliable, repeatable execution of AI-driven workflows beyond simple chatbot interactions. It addresses the need for auditable, reusable automation by enabling users to operate browsers and local tools, connect with MCP (Modular Command Protocol) servers and skills, and transform successful task sessions into workflow templates. The platform is particularly tailored for builders, researchers, product teams, and early enterprise pilots seeking local execution, browser-first automation, and workflow reuse within a private deployment boundary.
Key features include browser automation with the ability to navigate, click, type, wait, search, and extract information in a headed browser, supporting workflows that demand real user interaction. OpenCowork integrates hybrid CUA (Custom User Automation) and visual execution fallback, providing approval-aware recovery, takeover paths, and persistent visual traces for robust workflow management. Users can record and preserve task states, results, screenshots, artifacts, and traces, ensuring that all work remains observable and auditable after execution. The system allows for the conversion of completed sessions into reusable workflow templates, which can be rerun, scheduled, or triggered from chat, IM, scheduler, or MCP-oriented flows.
The platform supports integration with local scripts, internal services, and MCP servers, exposing selected capabilities through a standard MCP endpoint. Skills and local outputs can be installed, updated, uninstalled, and executed, allowing for the handling of files, local commands, and asset generation outside chat sessions. OpenCowork also features session management, IM intake, and the ability to process file-driven tasks through Feishu messaging workflows. Its architecture is built on a shared local Agent Runtime baseline, compatible with Electron, Scheduler, IM, MCP, and future clients, all managed through a unified task lifecycle.
0 license. js, npm, Python, and Playwright Chromium, and the desktop application can be launched on macOS, Ubuntu/Debian, or Windows platforms. Its focus on local execution, workflow auditability, and template reuse positions it within the class of desktop AI agent runtimes for business process automation.
In the Autonomous agents & workflows space, OpenCowork takes a focused approach. Enabling teams to run, audit, and reuse complex AI agent workflows locally without relying on cloud services. OpenCowork is an open-source project aimed at AI engineers and automation teams. OpenCowork is open source under the Apache-2.0 license. It ships for the web, the command line, macOS, Windows, and Linux, and it can be self-hosted.
OpenCowork first shipped in 2026. Development happens publicly on GitHub with 428 stars and 141 commits in the last 90 days. Among its 6 catalogued features are workflow templates, local execution, and browser automation. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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