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A practical inquiry into the runtime architecture of multi-agent AI systems in production, discussing orchestration, memory, statefulness, and tool choices like Temporal, LangGraph, and custom approaches.
ActiveGraph introduces a continuity layer for long-running AI agents, building on BabyAGI's concept of persistent state to maintain coherent, evolving models of beliefs, dependencies, and actions over time.