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Tencent has open-sourced TencentDB-Agent-Memory, which implements a four-layer memory system. It supports integration via the OpenClaw plugin and provides a Docker-based solution for Hermes, boosting PersonaMem accuracy from 48% to 76%.
The author upgraded their Hermes agents with TencentDB Agent Memory, using a local Qwen 3.5-4B model via llama-server for structured JSON extraction and multi-step tool use, implementing a resilient layered memory pipeline with cursor-based checkpointing.
Comparison of TencentDB's agent memory, which excels at compressing messy run histories for token savings, versus the Memos local plugin, which focuses on turning execution history into reusable habits and long-term learning through feedback loops.