Most frameworks still dump everything into memory — every token, every step.
That causes:
-
memory bloat,
-
agents repeating mistakes,
-
and no audit trail of why reasoning collapsed.
I’ve been testing a different approach: log only failure points (contradictions, gaps, unknowns). This produces a compact, auditable “Reasoning Report” instead of endless transcripts.
Example collapse report for 2+2=5:
{
“collapse_point”: “Arithmetic Error”,
“claim”: “2+2=5”,
“evidence”: “Contradicts elementary arithmetic”,
“status”: “collapsed”
}
Has anyone here tried failure-only logging in LangGraph, or would this pattern make sense to explore?