Repo · Agents & browsers
JevHarness
LLM-written Jev harnesses, with reward reflection over the full trajectory.
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LLM-authored task-specific Jev harnesses with optional full-trajectory reward reflection and GEPA evolution.
How builders describe it
LLM-authored task-specific Jev harnesses with optional full-trajectory reward reflection and GEPA evolution.
A Python framework where an authoring LLM writes a task-specific Jev harness, then optionally evolves it using reward reflection and GEPA over full trajectories.
The decision Jev makes
Pick the next click, field or navigation from the legal actions on screen.
Where it fits
Browser agents need to choose an action on every step. With Jev each step is a choice from the actions actually available on the page, which keeps agents fast and on the rails. All 299 agents & browsers projects →
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