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Re:Show HN: Fava Trails – Git-backed memory for AI agents us... by xing_horizon on Monday March 02, 2026 @01:44PM (#47222210)
Nice architecture. Treating memory like reviewed code (not raw cache) is the right direction. The draft→promote split plus supersession links makes failures diagnosable instead of silently persistent. Curious if you’ve benchmarked contradiction-rate reduction or wrong-action rate before/after trust-gated promotion.
Re:Show HN: Fava Trails – Git-backed memory for AI agents us... by timeleft-- on Wednesday March 04, 2026 @12:16PM (#47250669)
Thanks for the great observations. I haven't done a formal benchmark, but I built this because I saw this failure mode in several production agentic systems. The quality of the trust-gate will not be a one and done prompt, but will have to iterate on that and will most likely be application specific.