diff --git a/think/conversation.py b/think/conversation.py
index a2c71cf00..e262e0c44 100644
--- a/think/conversation.py
+++ b/think/conversation.py
@@ -65,8 +65,6 @@ def record_exchange(
     1. conversation/exchanges.jsonl — append-only quick-read index
     2. YYYYMMDD/conversation/HHMMSS_1/talents/conversation.md — journal entry
        for FTS5 search indexing (matches */*/*/talents/*.md formatter pattern)
-
-    Also runs lightweight entity extraction on the conversation text.
     """
     if not user_message or not agent_response:
         return
@@ -129,55 +127,6 @@ def record_exchange(
     except Exception:
         logger.exception("Failed to write conversation journal entry")
 
-    # 3. Entity extraction
-    _extract_entities(user_message + " " + agent_response, facet=facet, day=day)
-
-
-def _extract_entities(text: str, *, facet: str, day: str) -> None:
-    """Detect known entity names mentioned in conversation text.
-
-    Matches against attached entities for the active facet. Any matches
-    are recorded as detected entities for the day, integrating with the
-    existing entity signal infrastructure.
-    """
-    if not facet:
-        return
-
-    try:
-        from think.entities.loading import load_entities
-
-        entities = load_entities(facet)
-        if not entities:
-            return
-
-        text_lower = text.lower()
-
-        for entity in entities:
-            name = entity.get("name", "")
-            if not name or len(name) < 3:
-                continue
-
-            # Word boundary match for entity name
-            if re.search(r"\b" + re.escape(name.lower()) + r"\b", text_lower):
-                try:
-                    from think.entities.saving import save_detected_entity
-
-                    save_detected_entity(
-                        facet=facet,
-                        day=day,
-                        entity_type=entity.get("type", "Person"),
-                        name=name,
-                        description="Mentioned in conversation",
-                    )
-                except ValueError:
-                    pass  # Already detected today — expected
-                except Exception:
-                    logger.debug(
-                        "Failed to record entity detection: %s", name, exc_info=True
-                    )
-    except Exception:
-        logger.debug("Entity extraction from conversation failed", exc_info=True)
-
 
 # ---------------------------------------------------------------------------
 # Exchange Retrieval