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Show HN: Hermes-agentmemory, pull-model episodic memory with real deletes

Github.com1 min read
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Show HN: Hermes-agentmemory, pull-model episodic memory with real deletes

Original Article Summary

Article URL: https://github.com/MukundaKatta/hermes-agentmemory Comments URL: https://news.ycombinator.com/item?id=48162360 Points: 3 # Comments: 0

Read full article at Github.com

Our Analysis

MukundaKatta's release of Hermes-agentmemory, a pull-model episodic memory with real deletes, marks a significant development in AI agent technology. This development means that website owners may soon see more advanced AI bots that can learn from interactions and adapt to their environment, potentially leading to increased AI bot traffic on their sites. As AI agents become more sophisticated, they may be able to navigate and engage with website content in more human-like ways, which could impact website analytics and user experience. To prepare for this shift, website owners can take several steps: first, review their llms.txt files to ensure they are up-to-date and accurately reflect their desired AI bot policies; second, monitor their website analytics for signs of increased AI bot traffic; and third, consider implementing AI bot detection and management tools to help mitigate any potential issues that may arise from more advanced AI agents interacting with their site.

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