Your agent's memory might be what's holding it back
This is a vibe coding post classified by AGK Intelligence as Prompts & workflows (a workflow), kept by the Vibe Coding Radar because it carries real work, not commentary.
Your agent's memory might be what's holding it back New paper from UC Berkeley + Stanford: "Scaling Discovery Requires Forgetting" Agents doing long research and optimization loops all hit a wall. History piles up, they anchor on old attempts and their edits get smaller and smaller. The fix: - wipe every session and the candidate history - keep only the best result so far - restart fresh from it Same model, same budget: - up to 39% better than a single agent - up to 15% better than parallel agents If you run long Hermes loops, the lesson is simple. Keep the artifact, drop the transcript.
Posted by Luke The Dev (16.5k followers) 6 days ago · 23 likes · 1.8k views · view the original post on X. Kept by the Vibe Coding Radar as Prompts & workflows.
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