Hermes Dojo

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.

The Problem

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.

The Solution

Dojo closes the feedback loop:

measure → identify weakness → evolve → measure again → report

It turns "the agent that grows with you" from a tagline into reality.

How It Works

1. Performance Monitor

Reads your agent's session logs from state.db. Identifies failures: tool errors, retry loops, user corrections ("no, I meant..."), explicit complaints. Tracks per-skill success rates.

2. Weakness Analyzer

Categorizes root causes and ranks improvement opportunities:

• "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"

3. Auto-Fixer

For each weakness:

• 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

4. Reports

Generates reports for CLI or Telegram delivery with deltas, sparklines, and actionable summaries.

5. Learning Curve

Stores daily metrics. Shows improvement over days/weeks. Proof that the agent is actually growing.

Quick Start

# Install as a Hermes skill
git clone https://github.com/Yonkoo11/hermes-dojo.git
cd hermes-dojo
./install.sh

# Seed demo data (optional, for testing)
cd ~/.hermes/skills/hermes-dojo/scripts
python3 seed_demo_data.py --days 7

# Run the full pipeline
python3 demo.py --reset

Commands (via Hermes Agent)

Command	What it does
/dojo analyze	Analyze recent sessions for failures
/dojo improve	Fix weakest skills + run self-evolution
/dojo report	Generate improvement report
/dojo history	Show learning curve over time
/dojo auto	Set up overnight cron (analyze + improve + report)

Architecture

hermes-dojo/
├── SKILL.md              # Main orchestrator (Hermes skill format)
├── scripts/
│   ├── monitor.py        # Reads session SQLite, computes metrics
│   ├── analyzer.py       # Categorizes failures, ranks weaknesses
│   ├── fixer.py          # Patches skills, creates new ones, runs evolution
│   ├── reporter.py       # Generates CLI/Telegram reports
│   ├── tracker.py        # Stores/retrieves learning curve data
│   ├── seed_demo_data.py # Demo data generator
│   └── demo.py           # Full pipeline demo runner
├── references/
│   └── failure_patterns.md
└── data/
    └── metrics.json      # Historical performance data

Hermes Features Used

Feature	How Dojo Uses It
Skills system	Dojo IS a skill; it creates/patches other skills
Self-evolution (GEPA)	Evolves weak skills via DSPy optimization
Session search	Reads past sessions to identify failure patterns
Cron scheduler	Runs overnight improvement cycle
Multi-platform	Morning report on Telegram
skill_manage	Creates and patches skills programmatically

Requirements

• Hermes Agent v0.2.0+
• Python 3.10+
• hermes-agent-self-evolution (for GEPA)

Built for

Nous Research Hermes Agent Hackathon (March 2026)

Contributing

Issues and pull requests welcome. The analyzer in particular benefits from real-world failure patterns — if you see a false-positive recommendation or a weak-skill misclassification, please open an issue with the offending tool name and top error string.

Thanks to external contributors:

• @eggressive — root-cause classification and description-based gap detection in the weakness analyzer (#3)

License

MIT — see LICENSE.

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Built on Hermes Agent by Nous Research