My agent kept forgetting what it was doing. A scratchpad fixed it.
The article discusses a solution to improve the performance of a research agent that was repeatedly asking the same questions. The author introduced a structured working memory system called 'agent-scratchpad' to help the agent track its progress. This approach allows the agent to maintain context and avoid redundancy in its inquiries.
- ▪The Hermes research agent was struggling with memory, often repeating questions it had already answered.
- ▪The solution involved creating a scratchpad that serves as a structured working memory for the agent.
- ▪The scratchpad allows the agent to track research progress and avoid asking the same questions multiple times.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3915555) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Mukunda Rao Katta Posted on May 25 My agent kept forgetting what it was doing. A scratchpad fixed it. #hermesagentchallenge #devchallenge #agents #python Hermes Agent Challenge Submission: Build With Hermes Agent This is a submission for the Hermes Agent Challenge. My Hermes research agent was asking the same questions twice. It would identify a paper, start analyzing it, then two turns later ask if anyone had studied the same topic.
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