Recently, Tencent Cloud officially launched the "Lobster" memory service - TencentDB Agent Memory, adding powerful long-term memory capabilities to its OpenClaw system. This innovative memory engine was developed by the Tencent Cloud database team and adopts a four-layer progressive memory system, allowing AI assistants to better understand and remember user needs.

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The launch of the Agent Memory service has increased the accuracy of OpenClaw's responses to 76.10%, an increase of nearly 59% compared to the previous memory system. Users can experience that Lobster not only handles simple daily conversations but also maintains information coherence in complex projects, avoiding the "memory loss" phenomenon caused by the lack of long-term memory.

To achieve this goal, Agent Memory uses a unique four-layer memory architecture. The first layer is the original conversation, ensuring complete preservation of conversation content; the second layer is atomic memory, automatically extracting user preferences and key constraints; the third layer is scenario chunking, clustering memory information by project to ensure accurate context recall; the fourth layer is user profiling, forming stable user characteristics to help AI better adapt to user habits.

This service is easy to access. Users just need to configure it simply in the Tencent Cloud console to enable it with one click. In addition, for local users, Tencent Cloud provides simple command-line operations, allowing users to easily install the Agent Memory plugin. Enterprise users can also look forward to the upcoming Agent Memory Pro version, which will offer more powerful memory storage and data governance features, suitable for multi-user and enterprise-level scenarios.

Key Points:   

📈 The Agent Memory service improves the accuracy of OpenClaw's responses to 76.10%.  

💡 The four-layer memory architecture ensures that AI assistants can accurately remember user needs and preferences.  

🔧 Users can easily enable the Agent Memory plugin with simple operations. The enterprise version will be released soon.