Dejo Replays Website Tasks From Memory
Dejo is an open-source MCP browser automation server that learns website workflows once, then replays them in one call with zero model calls. Its latest write-up reports 89K-token replays, targeted repairs when sites change, and safeguards against running the wrong task or account.
Dejo’s compelling idea is turning browser automation from repeated rediscovery into a tested, stateful program—but its token savings are workload-specific, not universal.
- –Replays still consume roughly 89K tokens, largely from the agent’s own instructions and tool context rather than Dejo’s browser execution.
- –Every step is verified, fallback locators handle modest redesigns, and only the broken step needs relearning.
- –Task and identity checks reduce the risk of replaying an old workflow against the wrong account, subject, or action.
- –Dejo reports 19/19 correct answers, 78% fewer replay tokens than Playwright MCP, and one-call replays on 17 of 19 tasks.
- –The strongest fit is recurring workflows; one-off page lookups do not benefit much.
DISCOVERED
2h ago
2026-11-10
PUBLISHED
4h ago
2026-11-10
RELEVANCE
AUTHOR
rohit_jsfreaky