⬢github Python · 999 ★ +3 since we first saw it · pushed 13 h ago · MIT
awlevin/typesafe-computer-use
Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.
typesafe-computer-use (jev) is a macOS (Windows experimental) computer-use agent that drives your real mouse and keyboard toward a goal typed in plain English. Instead of asking a frontier model at every step, it OCRs the screen and lets a small TypeSafe classifier pick the next action, reserving a writing model only for free text. README claims ~$0.0002 per decision, with facts computed in code, not by the model.
Why now: It's trending as a newly most-starred repo making a bold cost/speed comparison: the README benchmarks its classifier loop against a frontier model (Claude Opus 5) at 130x–390x cheaper and 3.7x faster per step, while candidly noting reasoning must be rebuilt as deterministic code.
Who it is for: Developers on macOS who want cheap, fast GUI automation agents and are willing to handle beta rough edges and API keys.
ai-agentsautomationcomputer-usemacosocrtypesafe
Stars over our 9 snapshots: 996 to 999, since 1 h ago.
Where people talked about it
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