🧠 Code keeps changing, but wiki docs don't update themselves. Here's a memory system that automatically detects and self-corrects stale documentation. Title: Building Self-Correcting Memory in OpenWiki URL: OpenWiki links every claim in its wiki to the source code evidence behind it, then detects and repairs staleness whenever that code changes. Three highlights stand out. 📎 Claim-level evidence binding Every wiki assertion is stored explicitly as a "statement" paired with its "evidence" — the exact source location backing it up. Claims and their proof always travel together. 🔍 Deterministic staleness detection The runtime compares the evidence version a claim was written against with the current source version. Any mismatch flags the claim as stale — no model call needed. Stale doesn't mean wrong, just "needs reverification." 📈 Measured self-correction Across 2,000 evaluated claims, stale claims dropped from 80 to 9 (about 89% reduction) and hallucinated claims went from 15 to 0. At one checkpoint, a 17% stale rate recovered to 0% by the next update cycle. Memory systems that can say what they believe and why they believe it. Reframing forgetting as reassessing trust, not deletion, is the key idea here. #AIAgents# #KnowledgeManagement#