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Developer shares 3-month Hermes Agents experience, stressing context and optimization

An AI developer shares their three-month experience using Hermes Agents, offering insights into effective agent development. They emphasize the critical role of context, meticulous optimization of agent skills and data formats like Markdown, and the necessity of robust observability and evaluation strategies. The developer also advocates for the use of memory and profiles in multi-agent applications, arguing that issues often stem from engineering practices rather than the tools themselves. AI

IMPACT Provides practical advice for developers working with AI agents, focusing on optimization and effective use of features like memory and context.

RANK_REASON Developer's personal experience and opinion piece on using an AI agent framework.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer shares 3-month Hermes Agents experience, stressing context and optimization

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Commentary
Developer's personal experience and opinion piece on using an AI agent framework.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, opinion
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High
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52 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · threerouter ·

    My 3-Month Hermes Agents Journey: Lessons Learned (and Disagreements)

    <p>I've been using Hermes Agents for 3 months now, and I see a lot of great advice floating around. But after real production use, here's my honest take — what I agree with, and what I respectfully push back on.</p> <p>What I Fully Agree With</p> <ol> <li>Context is still king. P…