Analyze Hermes session logs, patch detected failures, and evolve skills automatically.
npx skills add https://github.com/Yonkoo11/hermes-dojo --skill hermes-dojo
Please help me install this Agent Skill. Skill: hermes-dojo Source: https://github.com/Yonkoo11/hermes-dojo/tree/main Command: npx skills add https://github.com/Yonkoo11/hermes-dojo --skill hermes-dojo
It streamlines the process of analyzing agent performance, identifying weaknesses, and automatically creating or patching skills to improve success rates.
Clone the repository, install the dependencies, then execute the demo script to seed data, analyze, fix issues, and view reports in one command.
High-intent search queries and answers about installing and using this skill.
Automate AI agent self-improvement by analyzing session logs to detect recurring failures and skill gaps, then automatically patching or creating skills to fix identified issues and enhance reliability over time.
The best way to monitor Hermes AI agent performance is by reading session logs to detect recurring failures and skill gaps, generating reports, and maintaining a learning curve for ongoing progress assessment.
Yes, python3 and sqlite3 are required dependencies, alongside Hermes session data, skill management, and self-evolution modules, to operate the automated skill patching and DSPy-based optimization workflows fully.
Yes, you can use DSPy-based optimization (GEPA) on weak skills to enhance reliability in a continuous training setup, suitable for deployment overnight to improve your Hermes Agent with minimal manual intervention.
Patch and generate AI skills automatically by using Hermes skill management tools to update or create new skills based on issues identified during session log analysis, streamlining the enhancement of success rates.
Automated self-evolution for AI monitoring requires Hermes session data, skill management, and self-evolution modules to operate fully, making it dependent on these specific external components to function correctly.
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