When AI agents interact with users, they often lack long-term memory, which leads to disjointed conversations and a lack of personalization. PolarDB Agent Memory is a managed service for building dedicated long-term memory for AI agents and is 100% compatible with the open-source Mem0 system. By efficiently extracting, storing, and retrieving memories across multiple interactions, it empowers agents with the ability to continuously learn and accumulate knowledge, helping you build truly intelligent and personalized AI applications.
Advantages
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Out-of-the-box and quick integration: 100% compatible with the open-source Mem0 framework and supports quick integration through concise APIs to help you seamlessly migrate existing agent applications. The service includes optimized prompt templates and supports custom strategies to accommodate different business scenarios.
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Fully managed with optimized costs: Provides a visual web management interface. You do not need to invest in hardware or worry about system deployment, O&M, or troubleshooting. The memory refinement technology significantly reduces token consumption of large language models and further saves resource costs.
Use cases
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Intelligent customer service: Perceive cross-session context to avoid repeated questions, provide coherent problem resolutions, and improve service efficiency and satisfaction.
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Personalized education: Build learner capability profiles, dynamically adjust teaching content, provide personalized learning paths, and enable individualized instruction.
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Healthcare management: Continuously record patient medical history, treatment plans, and physiological metrics to build complete health profiles and provide continuous, individualized medical services.
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Emotional companionship and mental health: Deeply understand user emotions, personality, and life events, identify stress sources, and provide empathetic and continuous support.
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Intelligent recommendation systems: Provide more accurate and dynamic recommendations based on long-term user interests and real-time feedback.
Edition description
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Item |
Standard Edition |
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Compute mode |
Shared compute, fully managed, with no need to manage underlying resources. |
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Scale limit |
Supports up to 20 million memories/vectors and 30 QPS. |
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Purchase items |
Common items such as memory description, region, VPC, memory type, memory expiration settings, and security group. |
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Billing method |
Billed based on the number of memories, duration, and model invocation fees. |
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Applicable scenarios |
Small and medium-scale agent applications, quick trials, and scenarios without an owned database cluster. |
Related documentation
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Create PolarDB Agent Memory: Describes how to create Standard Edition PolarDB Agent Memory.
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PolarDB Agent Memory billing: Describes the detailed billing information of PolarDB Agent Memory.
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Use PolarDB Agent Memory: Describes how to obtain connection addresses, configure whitelists, customize extraction strategies, and call APIs.