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Fix deployment: defer agent load, add missing workbench packages and credentials
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# ============================================================================
# memory.py — working memory for the Grounded Theory workbench (stub)
# ============================================================================
#
# This is a scaffolding stub. Future rounds will grow this into a real
# per-run memory that nodes can read from and write to for inter-node
# continuity beyond what fits in the TypedDict state.
#
# For round 1 this is just a dict with a consistent interface, so nodes
# that want to remember something across invocations have a place to
# put it. Not currently used by any real node.
# ============================================================================
class WorkbenchMemory:
"""Tiny in-process memory store. Keyed by arbitrary string."""
def __init__(self):
self._store = {}
def get(self, key, default=None):
return self._store.get(key, default)
def put(self, key, value):
self._store[key] = value
def clear(self):
self._store.clear()
def items(self):
return list(self._store.items())
# Module-level singleton. Nodes can import and use, or ignore.
memory = WorkbenchMemory()