Jev speeds up Computer Use with LLM memory and Jev element selection
The LLM holds context and uses agent-desktop to take snapshots, then Jev picks the right element to interact with, running headless with opencode to make Computer Use faster.
Computer Use is now faster with jev > LLM holds the memory/context > LLM uses agent-desktop to take snapshots and sends them to Jev to take action > Jev takes action by selecting the right element to interact with Cursor enabled, headless with @opencode and agent-desktop
This is without Jev at 3x speed (Took longer to finish the task). This is what I've seen: With Jev: Jev did a good job of picking the right element/command to click to get the job done in a few calls Without Jev: The Agent did some round trips to do the task. Finally, it reverted what it did and restarted again with a faster approach. With Jev, the faster and correct approach is achieved in the first run. Same harness, model, and skill btw