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ADAM v2.0: Advanced Agentic Mesh — DAG orchestrator, cognition, knowledge web, forge tools, runtime optimization
ba2ada2
"""Advanced Memory Systems — persistent knowledge and caching.
Ultra-lightweight knowledge graph and predictive cache.
No external DB needed — uses JSON files for persistence
and in-memory structures for speed.
"""
import sys
import os
# Backward compat: re-export AgentMemory from the old memory.py file
# The old file is at shared/agent/memory.py (sibling of this package).
# We use importlib to load it by file path to avoid the naming conflict
# with this memory/ package directory.
_this_dir = os.path.dirname(os.path.abspath(__file__))
_parent_dir = os.path.dirname(_this_dir)
_old_memory_path = os.path.join(_parent_dir, "memory.py")
if os.path.exists(_old_memory_path):
import importlib.util
_spec = importlib.util.spec_from_file_location("_old_memory", _old_memory_path)
_mod = importlib.util.module_from_spec(_spec)
_spec.loader.exec_module(_mod)
AgentMemory = _mod.AgentMemory
else:
class AgentMemory:
"""Fallback empty memory if old memory.py not found."""
async def store(self, *args, **kwargs): pass
async def recall(self, *args, **kwargs): return []
async def get_session_summary(self, *args, **kwargs): return ""
async def clear_session(self, *args, **kwargs): pass
from .knowledge_web import KnowledgeWeb
from .predictive_cache import PredictiveCache
__all__ = ["KnowledgeWeb", "PredictiveCache", "AgentMemory"]