When autonomous agents execute multi-day workflows, context window limits force truncation. Storing state updates in an interactive graph allows agents to write new nodes, establish causal dependencies, and prune contradicted beliefs without bloating prompt token budgets.
Graph-Backed Agentic Memory: How Autonomous Agents Maintain Long-Term World Models
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