Tappi Browser – Fastest AI browser, 3-10x fewer tokens, zero telemetry
Referenced element indexing cuts token spend 3-10x versus DOM-dumping AI browsers.

Token efficiency beats Stagehand — 2-5k vs 29-51k per action with cached selectors.
QA engineers, automation developers, data scraping teams
Stagehand · BrowserUse · AutoGPT
Referenced element indexing cuts token spend 3-10x versus DOM-dumping AI browsers.
Self-benchmark shows Sentinel uses 57x fewer tokens than browser-use on hard tasks.
JSON recovery fixes malformed LLM output when Firecrawl and JinaAI fail on nested schemas.
MAKO compresses what matters into a HEAD-friendly payload — frontmatter, declared actions and semantic links — so agents can find relevance without downloading 181KB of navigation, ads and scripts. The project ships a spec plus real tooling (typed SDK, Express middleware, an analyzer/score and edge-friendly /md conversion), which is a rare combo of protocol thinking and usable developer ergonomics. Whether it becomes a standard depends on buy-in from CMS/plugin authors and agent platforms, but technically it's a smart, practical swing at an obvious pain point.
The write-up zeroes in on a concrete, painful failure mode: MCP setups streaming full DOMs and logs into models and burning token budgets. It shows how playwright-cli keeps browser state external and emits compact element references and YAML flows you can replay into npx playwright test — a realistic pattern for long agent sessions. Valuable practical guidance for teams already on Playwright, but it's an explainer, not a new system you can drop in without plumbing.
TOON format cuts LLM token costs 40-50%, but this is just Java support for an existing format.