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On November 2, 2026, Alibaba Cloud announced an upgrade to its Memory service, enhancing memory capabilities for user preferences, plans, and historical commitments in Personal Agents scenarios, and providing access methods such as MCP and CLI. The service extracts key information from conversations, saves it as memories and user profiles according to rules, and in subsequent sessions retrieves it based on user identity and the current question and adds it to the task context. According to an IT Home · AI report, in the HaluMem-medium comparison, Memory achieved the highest scores in all four metrics: recall, accuracy, and F1 for memory extraction, and the C metric for memory question answering; in the PersonaMem-v2 evaluation, it ranked first among the 8 systems listed with an overall score of 56.82. A Sina Tech report on the same day added that developers can use the API to write, view, and semantically retrieve memories, and can also access Agents tools and frameworks such as Codex, DeepSeek Harness, Claude Code, and OpenClaw via MCP and CLI. There are currently no further developments.
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Alibaba Cloud Memory Service Upgrade: Enhancing Long-Term Memory and Personalization for Personal AgentsDevelopments
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Nov 3
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Alibaba Cloud Memory Service Upgrade: Enhancing Long-Term Memory and Personalization for Personal Agents
Alibaba Cloud announced an upgrade to its Memory service, enhancing the ability to remember user preferences, plans, and historical agreements for Personal Agent scenarios, and providing access methods such as MCP and CLI. Memory extracts key information from conversations and saves it as memories and user profiles according to rules; in subsequent sessions, it retrieves information based on user identity and the current question and adds it to the task context. In the HaluMem-medium comparison, Memory achieved the highest scores in all four metrics for memory extraction: recall, accuracy, F1, and the memory question-answering C metric; in the PersonaMem-v2 evaluation, it ranked first among the 8 systems listed with an overall score of 56.82.
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Nov 2
Sina Tech
Alibaba Cloud Memory Service Upgrade: Enhancing Long-Term Memory and Personalization for Personal Agents
Alibaba Cloud announced an upgrade to its Memory service, enhancing memory capabilities for user preferences, plans, and historical agreements in Personal Agent scenarios, and providing integration methods such as MCP and CLI. Memory extracts key information from conversations, saves it as memories and user profiles according to rules, and in subsequent sessions retrieves it based on user identity and the current question and adds it to the task context. In the HaluMem-medium comparison, Memory achieved the highest scores in all four metrics: recall, accuracy, and F1 for memory extraction, and the C metric for memory question answering; in the PersonaMem-v2 evaluation, it achieved an overall score of 56.82, ranking first among the 8 systems listed and highest in 7 of the 9 task dimensions. Developers can use the API to write, view, and semantically retrieve memories, and can also integrate with agent tools and frameworks such as Codex, DeepSeek Harness, Claude Code, and OpenClaw via MCP and CLI.
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