Yambr/open-computer-use

Open-computer-use leverages the Model Context Protocol (MCP) to standardize how LLMs interact with local or remote desktop environments. While it provides a functional 'computer use' bridge, it faces significant competitive headwinds. With 48 stars and 10 forks over 78 days, its adoption trajectory is modest compared to high-velocity projects like 'browser-use' or 'OpenHands'. The project's primary value is the 'pluggable' nature of the MCP implementation, allowing any LLM to use the same Docker-based toolkit. However, the defensibility is low (3) because the 'moat' consists primarily of glue code between existing mature technologies (Docker, Playwright, MCP). Frontier labs like Anthropic (with their native 'Computer Use' API) and OpenAI (with the rumored 'Operator') are building these capabilities directly into their platforms, which poses a high risk of obsolescence. Furthermore, infrastructure startups like E2B and Day.ai are building enterprise-grade versions of these sandboxed execution environments. This project serves as a useful reference implementation or personal tool, but lacks the data gravity or deep technical complexity required to withstand platform-level integration by the major labs.