M5.2: agent memory

remember(name, description, fact) and forget(name, why): control tools for
the driver (before the go-ahead too) and conversations, writing only the
agent's own vault folder, one note per fact with its provenance. No one
agrees first; each change is a line in the thread. The harness keeps the
index and puts it into the transcript once per item, with a hash.

At an item's close, completed or abandoned, a bounded memory pass (the
driver's model, its own transcript and view) records what was decided and
learned; it never holds the close up (tuning.memory.max_turns).

With the operator: corrections may be paraphrased (L6 changed), the model
forgets on its own, and nothing limits what may prompt a note. The walk
remembers and forgets, and checks nothing lands outside the agent's folder.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01J5Utyfzw7gF7UhjRDEtjTk

nisse-dev/src/nisse_dev/loop/items.py

@@ -80,6 +80,8 @@ class Loop:
     # The toolchain as the harness last checked it (M4.1): name, version
     # command, version.
     toolchain: tuple[tuple[str, str, str], ...] = ()
+    # L6: the agent's memory index was put into the transcript (once).
+    memory_shown: bool = False
 
     def to_data(self) -> dict[str, Any]:
         return asdict(self)