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hermes-dojo

Self-improvement system that monitors agent performance, identifies weak skills, and iterates on them automatically.

Upstream ↗Seed list ↗Role: workflow-framework
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Self-improvement system that monitors agent performance, identifies weak skills, and iterates on them automatically.

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Listed in the awesome-hermes-agent README

Sources: 2 / Surfaces: 1

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Your agent, getting better while you sleep.

Hermes Dojo is a self-improvement system for Hermes Agent that watches how your agent performs, finds its weakest skills, fixes them with self-evolution, and shows you the results.

Your AI agent makes the same mistakes every day. You correct it, it forgets next session. Skills exist but nobody knows which ones work well and which ones silently fail. Self-evolution exists but nobody uses it because there's no signal about WHAT to evolve.

Hermes DojoThe ProblemThe SolutionHow It Works1. Performance Monitor2. Weakness Analyzer3. Auto-Fixer4. Reports
  • "web_extract fails 100% of the time. Root cause: no retry logic for timeouts"
  • "No skill exists for CSV parsing, but user asked for it 5 times"
  • Skill exists but fails → patch it with targeted error handling
  • No skill exists → create one based on session patterns
  • Run self-evolution (GEPA) on weak skills for measurable improvement
  • Hermes Agent v0.2.0+
  • Python 3.10+
  • hermes-agent-self-evolution (for GEPA)