Hermes Traj

Purpose

• Save useful conversations as structured training or QA artifacts.
• Separate successful traces from failed traces.
• Preserve the task, outcome, and signal-rich decisions without saving noise.
• Build a dataset that can be reviewed, filtered, and improved over time.
• Make post-task learning operational instead of aspirational.

Default File Strategy

• Use a success JSONL file for completed helpful runs.
• Use a failure JSONL file for incomplete or incorrect runs.
• Keep one JSON object per line.
• Prefer append-only writes with later offline cleanup.
• Store files in a predictable project path.

Recommended Fields