---
license: mit
pretty_name: OpenFront.io RL GameRecords
tags:
  - reinforcement-learning
  - games
  - openfront
---

# OpenFront.io RL game replays

Sparse-turn **GameRecord v0.0.2** JSON for every finished RL episode
(training, watch, showcase). Same format as the OpenFront client archive /
Node bridge (`version`, `gitCommit`, sparse `turns` with intents).

Each parquet row is one game. The `record_json` column is the full Node-
compatible GameRecord string (~100–200 KB for long games). When a watch /
showcase episode recorded policy decisions, `thinking_json` holds a compact
top-3 action trace (typically a few KB) derived from the MODEL overlay
`.debug.json` sidecar. Metadata columns capture policy / engine / stage.

Generated by [djmango/openfront-ai](https://github.com/djmango/openfront-ai).
Replay with `datagen/replay.ts` or the client archive API / `ofshowcase archive`.