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Give LLMs a managed workspace for coding, browsing, documents, and automation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "open-computer-use" yet — see the docs or source repo.
In this managed workspace, clone my Git repository, install dependencies, run tests, identify the failure, fix the code directly, and then give me a summary of changes and reproduction steps.
The tool sets up the environment, runs tests, fixes the issue, and returns a change summary with results.
Use the browser to research 5 competitor websites, extract pricing, core features, and target users, organize them into a structured table, and produce a one-page English summary.
A structured competitor table and concise summary are produced for further analysis and decision-making.
Read the PDFs and Excel files in the workspace, extract key information, clean the data, and generate a summary CSV plus a draft meeting memo.
The tool creates a usable data summary file and document draft, reducing manual processing time.
Build, debug, and manage software tasks with natural language across LLMs.
Control desktop workflows locally with OCR and visible safety overlays.
Let AI assistants use OpenCode CLI and multiple models through one interface.
Manage OpenProject projects, work packages, activities, and wiki pages through AI.
Help AI agents navigate, search, and understand codebases and change history.
Expose OpenAPI endpoints as MCP tools for LLM-driven REST API access.