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.
- arXiv
- Context Engineering
- cron
- Graph Engineering
- Hermes Agents
- JSON
- Markdown
- prompt engineering
- Skills
- SQLite
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →