diff --git a/features/replay.py b/features/replay.py
index 519dae6..38ba94b 100644
--- a/features/replay.py
+++ b/features/replay.py
@@ -112,7 +112,12 @@ async def _txn(conn: Any) -> int:
             new = min(1.0, old + boost)
             if new <= old:
                 continue
-            await conn.execute("UPDATE core_memory SET importance=?, updated_at=? WHERE entry_id=?", (new, now, int(r["entry_id"])))
+            # `updated_at` is deliberately NOT written: this is a derived-score
+            # change on a nightly timer, and `updated_at` is the age that
+            # forgetting decays by and archives on. Stamping it made a
+            # frequently recalled fact immortal — it could never age out. The
+            # replay time is recorded in `importance_audit.rescored_at` below.
+            await conn.execute("UPDATE core_memory SET importance=? WHERE entry_id=?", (new, int(r["entry_id"])))
             await conn.execute(
                 """INSERT INTO importance_audit (user_id, chunk_id, source, old_importance, new_importance, signal_breakdown, reason, rescored_at)
                    VALUES (?, ?, 'core_memory', ?, ?, '{}', 'cls_replay', ?)""",
diff --git a/lifecycle/importance_scheduler.py b/lifecycle/importance_scheduler.py
index 5ca8bb9..45f9c6e 100644
--- a/lifecycle/importance_scheduler.py
+++ b/lifecycle/importance_scheduler.py
@@ -480,9 +480,15 @@ def _rescore_user(self, user_id: str, conn: Any, stats: dict[str, int]) -> None:
                 stats["skipped"] += 1
                 continue
             now = time.time()
+            # `updated_at` is NOT written here. It is the age that
+            # `lifecycle.forgetting.decay` and the archive read, so stamping it
+            # with `now` made every rescored row look freshly written and no
+            # such row ever aged out or archived. The rescore time is already
+            # recorded in `importance_audit.rescored_at`, which is where it
+            # belongs.
             conn.execute(
-                "UPDATE core_memory SET importance=?, updated_at=? WHERE entry_id=?",
-                (new_score, now, int(r["entry_id"])),
+                "UPDATE core_memory SET importance=? WHERE entry_id=?",
+                (new_score, int(r["entry_id"])),
             )
             conn.execute(
                 """INSERT INTO importance_audit
diff --git a/tests/test_importance_scheduler.py b/tests/test_importance_scheduler.py
index d064c9e..d047cef 100644
--- a/tests/test_importance_scheduler.py
+++ b/tests/test_importance_scheduler.py
@@ -62,6 +62,37 @@ async def test_scheduler_rescores_big_delta(cm, monkeypatch):
     assert audit["reason"] == "scheduled"
 
 
+@pytest.mark.asyncio
+async def test_rescoring_does_not_rejuvenate_the_row(cm, monkeypatch):
+    """`updated_at` is the age that forgetting and archive read.
+
+    The sweep used to stamp `updated_at=now` on every row whose score moved, so a
+    rescored row looked freshly written: decay never saw it age and archive never
+    reached it. Measured on the Hermes base before the fix, 94 rows older than 60
+    days by `created_at` still read as younger than 30 by `updated_at`.
+    """
+    monkeypatch.setattr("lifecycle.importance_scheduler.connection_manager", cm)
+    conn = await cm.get("memory.db")
+    born = time.time() - 90 * 86400
+    touched = time.time() - 5 * 86400
+    await conn.execute(
+        """INSERT INTO core_memory
+           (user_id, "key", value, importance, updated_at, created_at)
+           VALUES (?, ?, ?, ?, ?, ?)""",
+        ("alice", "k", "redis cluster pipelining", 0.4, touched, born),
+    )
+    await conn.commit()
+
+    s = ImportanceScheduler(scheduler_config=SchedulerConfig(delta_threshold=0.05))
+    stats = await s.run_once()
+    assert stats["rescored"] >= 1
+
+    row = await (await conn.execute("SELECT importance, updated_at, created_at FROM core_memory WHERE \"key\"='k'")).fetchone()
+    assert row["importance"] != 0.4, "the rescore still happened"
+    assert row["updated_at"] == touched, "a rescore must not reset the row's age"
+    assert row["created_at"] == born
+
+
 @pytest.mark.asyncio
 async def test_scheduler_skips_small_delta(cm, monkeypatch):
     monkeypatch.setattr("lifecycle.importance_scheduler.connection_manager", cm)
diff --git a/tests/test_replay.py b/tests/test_replay.py
index a7feb54..d9cc377 100644
--- a/tests/test_replay.py
+++ b/tests/test_replay.py
@@ -43,6 +43,34 @@ def _save(core, key, value, importance):
     asyncio.run(core.save("u1", key, value, importance=importance))
 
 
+def test_replay_boost_does_not_rejuvenate_the_row(tmp_path):
+    """The nightly boost is a derived-score change, not owner activity.
+
+    `core_memory.updated_at` is the age that `lifecycle.forgetting` decays by and
+    archives on, so a nightly timer that stamps it makes a frequently recalled
+    row immortal: it never ages and never archives. The rescore time belongs in
+    `importance_audit.rescored_at`, which already carries it.
+    """
+    cm, core = _make_cm(tmp_path)
+    _save(core, "hot", "recalled long ago", importance=0.5)
+    conn = asyncio.run(cm.get(DB_NAME))
+    hot_id = int(_fetchone(conn, "SELECT entry_id FROM core_memory WHERE key='hot'")[0])
+
+    born = time.time() - 120 * 86400
+    touched = time.time() - 45 * 86400
+    asyncio.run(conn.execute("UPDATE core_memory SET created_at=?, updated_at=? WHERE entry_id=?", (born, touched, hot_id)))
+    asyncio.run(conn.commit())
+
+    asyncio.run(record_recall_useful(cm, "user", "u1", [(hot_id, "hot")]))
+    result = asyncio.run(cls_replay(cm, "u1", layer="user"))
+    assert result["boosted"] == 1
+
+    row = _fetchone(conn, "SELECT importance, updated_at, created_at FROM core_memory WHERE entry_id=?", (hot_id,))
+    assert abs(float(row[0]) - 0.55) < 1e-9, "the boost still happened"
+    assert float(row[1]) == touched, "a background boost must not reset the row's age"
+    assert float(row[2]) == born
+
+
 def test_record_and_replay_boost(tmp_path):
     """A recalled fact gets +0.05; unrecalled facts are untouched."""
     cm, core = _make_cm(tmp_path)