Andrew Ng has introduced OpenWorker, an open-source desktop agent that produces completed work quite than dialog. OpenWorker asks the person for an consequence, not a immediate: a cultured doc, a Slack reply containing the precise numbers, an up to date calendar, a triaged inbox. It then breaks that consequence into steps, works throughout native information and linked apps, and checks in earlier than something consequential.
The structure is 4 layers, and all of them run in your machine
The repository comprises 119 Python information (~32,400 strains) underneath coworker/, 149 TypeScript/TSX information underneath surfaces/gui/, and 78 backend take a look at modules.
The stack breaks down as follows:
- Desktop shell — a Tauri 2 native window wrapping a React 18 UI. The bundle identifier is
com.openworker.desktop, and the shell supervises the Python server itself. - Native agent server — Python 3.10+ on FastAPI and uvicorn, binding to
127.0.0.1:8765by default. The instance config caps a flip at 12 mannequin↔instrument iterations. - Functionality and connector layer — vetted native instruments (information, git, ripgrep-backed search, shell, todo) plus hosted integrations plus MCP.
- Mannequin router — one interface over native, OpenAI-compatible, reseller and native suppliers.
The engine is constructed on aisuite, Andrew Ng’s provider-agnostic LLM library.
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