My Hermes agent chose 'post-mortem' unprompted and compared sessions to DNA evolution

2026-05-17 · Source: Machine Learning ML & Generative AI News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Intermediate, quick

Summary

A user working on self-improvement in agentic AI flows tasked their Gemma4-31B Hermes agent with self-revision after each session to identify mistakes, capture solutions, and note triggers for successful problem resolution. The agent autonomously adopted the term "post-mortem" for this analysis, defining it as a structured review after a session's end or failure to understand what occurred and prevent recurrence. It drew a parallel between session failures and "death," log analysis and "autopsy," and skill refinement to an "immune response." The agent further likened successful sessions to retaining "winning DNA" and struggles to extracting lessons for "evolutionary code" updates, suggesting a sophisticated grasp of the concept beyond mere keyword recall.

Key takeaway

For AI Engineers developing agentic systems, consider integrating explicit self-revision mechanisms that encourage metaphorical reasoning. Your agents might autonomously develop sophisticated analytical frameworks, like the "post-mortem" and "DNA evolution" parallels, leading to more robust and adaptive AI behaviors. This approach could significantly enhance an agent's ability to learn from its operational history and improve performance.

Key insights

An agentic AI autonomously applied "post-mortem" analysis and biological evolution metaphors for self-improvement.

Principles

• Structured analysis prevents error recurrence
• Learning from failure drives evolution

Method

The agent performs a "post-mortem" after each session, analyzing logs for "friction" and "waste" to refine its skills and update its "evolutionary code" for future problems.

In practice

• Implement agent self-revision loops
• Encourage metaphorical reasoning in agents

Topics

• Agentic AI
• Self-Improvement
• Meta-Cognition
• Post-Mortem Analysis
• Gemma4-31B Hermes

Best for: Research Scientist, AI Engineer, AI Scientist, Machine Learning Engineer, Prompt Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Machine Learning ML & Generative AI News.