Tencent Open Sources Agent Memory, Reducing Token Consumption by Up to 61%

On May 14, Tencent Cloud officially announced the open sourcing of TencentDB Agent Memory, which provides short-term memory compression and long-term personalized memory capabilities for Agent long-task scenarios. According to the introduction, TencentDB Agent Memory utilizes the technology of ‘Context Offloading + Mermaid Task Canvas’ to offload complete information to external storage while retaining key states and execution paths in a structured task graph. This allows the Agent to maintain a lightweight context during long tasks, while also supporting the layered tracing and recovery of original information. In experiments with continuous multi-task sessions, this solution achieved a maximum reduction of 61% in token consumption, while also improving the success rate of tasks in long-task scenarios.