--- title: "Tencent Cloud open-source Agent Memory reduces token consumption by up to 61%" type: "News" locale: "en" url: "https://longbridge.com/en/news/286374398.md" description: "On May 14th, Tencent Cloud officially open-sourced TencentDB Agent Memory, providing short-term memory compression and long-term personalized memory capabilities for Agent long-task scenarios. Long-term memory was made available for free last month, and this open-source release focuses on short-term memory compression. The project is currently compatible with mainstream Agent frameworks such as OpenClaw and Hermes, supporting one-click integration. According to reports, 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, allowing the Agent to maintain a lightweight context in long tasks while supporting layered tracing and recovery of original information. In multi-task continuous session experiments, this solution reduced token consumption by up to 61% while improving task success rates in long-task scenarios" datetime: "2026-05-14T07:14:06.000Z" locales: - [zh-CN](https://longbridge.com/zh-CN/news/286374398.md) - [en](https://longbridge.com/en/news/286374398.md) - [zh-HK](https://longbridge.com/zh-HK/news/286374398.md) --- # Tencent Cloud open-source Agent Memory reduces token consumption by up to 61% According to Zhitong Finance APP, on May 14th, Tencent Cloud officially open-sourced TencentDB Agent Memory, providing short-term memory compression and long-term personalized memory capabilities for Agent long-task scenarios. Long-term memory was made available for free last month, and this open-source release focuses on short-term memory compression. The project is currently compatible with mainstream Agent frameworks such as OpenClaw and Hermes, supporting one-click integration. It is reported that TencentDB Agent Memory uses 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, allowing the Agent to maintain a lightweight context in long tasks while supporting layered tracing and recovery of original information. In multi-task continuous session experiments, this solution reduced token consumption by up to 61% while improving task success rates in long-task scenarios ### Related Stocks - [00700.HK](https://longbridge.com/en/quote/00700.HK.md) - [TCEHY.US](https://longbridge.com/en/quote/TCEHY.US.md) - [80700.HK](https://longbridge.com/en/quote/80700.HK.md) - [HTCD.SG](https://longbridge.com/en/quote/HTCD.SG.md) - [TCTZF.US](https://longbridge.com/en/quote/TCTZF.US.md) ## Related News & Research - [DeepSeek could be valued at up to $50 billion in first fundraising, sources say](https://longbridge.com/en/news/285373932.md) - [Tencent Holdings (TCTZF) Receives a Buy from CMB International Securities](https://longbridge.com/en/news/286401264.md) - [In-depth analysis of the Shai-Hulud malware: Is open source a recipe for disaster?](https://longbridge.com/en/news/286230902.md) - [Token Names Daniel K. Van Ostrand Head of Engineering and Product](https://longbridge.com/en/news/286398412.md) - [Nebius welcomes Clarifai’s core team and licenses inference IP to strengthen Nebius Token Factory | NBIS Stock News](https://longbridge.com/en/news/286161929.md)