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Implement a deep memory system with programmatic context injection and asynchronous updates.
This PR introduces a "deep memory" capability to provide the agent with more robust long-term recall. It ensures relevant context is programmatically injected into the system prompt before every LLM call (online layer) and asynchronously updates an external deep memory service based on transcript growth thresholds and near-compaction events (offline layer). This moves beyond model-dependent tool calls for memory and provides a more reliable, continuously updated long-term memory.