Is your OpenClaw Ai agents Burning tokens like hell?

One thing feels extremely inefficient in current browser agents: They repeatedly “rediscover” the same websites. Every run: - parse the page - inspect the DOM - locate buttons - reason about layout - decide actions again Even when another agent already solved that workflow perfectly before. I’ve been experimenting with a different model: Agents should reuse proven interaction paths instead of reprocessing entire pages from scratch. Think of it like cached operational intelligence for browser automation. The potential impact is interesting: - lower token consumption - faster execution - reduced latency - less unnecessary reasoning But it also creates a hard systems problem: How do you verify that shared workflows are still valid, trustworthy, and not malicious? I suspect future agent infrastructure will need: - workflow reputation - path verification - deterministic matching - shared execution memory Not just bigger models. Curious if others are exploring similar ideas around reusable agent workflows or interaction-memory systems.