Temporal decision memory for a claims agent
Learning Agents- proposed
- voting · 10d
- running
- measuring
- concluded
Preregistration · v1 · 24 Aug 2026 · immutable after start
Hypothesis
A claims-triage agent that records each decision with its reasoning and timestamp in the episodic store from r-memory-layer, and retrieves prior decisions on similar claims, improves triage consistency on a 500-claim synthetic corpus by at least 12 points without a drop in accuracy.
Kill condition
Kill if consistency improves under 5 points by day 12 on the held-out split, or if accuracy drops more than 2 points at any point.
Running notes · fed from harness sessions and by the pair
- manual28 Aug 2026JP Jun Park
Consistency metric defined: agreement on near-duplicate pairs, 180 pairs in the held-out split.
- manual24 Aug 2026TO Tom Okafor
First dependent run on r-memory-layer. Depends on the memory store; does not need the forgetting mechanism because the corpus is synthetic. Predicted +15, confidence 0.55.
Harness notes are auto-captured from Claude Code sessions: model, date, commit, session reference. Never the transcript, code or paths.