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Tencent Open-Sources Agent Memory System, Reduces Token Usage Up to 61%

GateNews

AI Agent AI Industry News

2026-05-14 07:37:54

According to Beating, Tencent Cloud recently open-sourced TencentDB Agent Memory, a local-first memory engine for AI agents. The system reduces token consumption by 61% in complex workflows—decreasing usage from 221.31M to 85.64M in WideSearch tasks—while improving task completion rates by 51.52%. The engine uses a layered memory architecture separating long-term memory (conversations, atomic facts, scenario chunks, and user profiles) from short-term task memory, with logs externalized and tasks visualized via Mermaid diagrams for efficient retrieval.

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