Deterministic browser control for AI agents (~90% on Mind2Web)
Deterministic browser steps for agent reasoning, but README is just Chromium boilerplate with no substantive implementation details.

Stable DOM references for agents that survive page churn — actual YC submission proof.
AI developers, automation engineers, agent infrastructure builders
Browser Use · LangChain browser tools · MCP browser servers
Deterministic browser steps for agent reasoning, but README is just Chromium boilerplate with no substantive implementation details.
Numbered action refs beat CSS selectors for token-efficient AI browser control.
Numbered action sheets beat CSS selectors, but browser automation for agents is crowded.
Network-layer API discovery beats brittle DOM scraping that Firecrawl uses.
Structured JSON beats screenshot soup for agents hitting real websites.
Browser automation that learns by watching, but Browser Use already exists.