TencentCloud/TencentDB-Agent-Memory

原文摘要

TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies. Agents remember,Humans innovate. Highlights · Overview · Core Technology · Features · Quick Start English · 简体中文 ✨ Highlights TencentDB Agent Memory = symbolic short-term memory + layered long-term memory. Symbolic short-term memory offloads heavy tool logs and condenses them into compact Mermaid symbols, cutting token usage and improving task success. Layered long-term memory distills fragmented conversations into structured personas and scenes, instead of flat vector piles. When integrated with OpenClaw, it cuts token usage by up to 61.38% , improves pass rate by 51.52% (relative), and raises PersonaMem accuracy from 48% to 76% . Memory Capability Benchmark OpenClaw Success With Plugin Relative Δ OpenClaw Tokens With Plugin Tokens Relative Δ Short-term WideSearch 33% 50% +51.52% 221.31M 85.64M −61.38% Short-term SWE-bench 58.4% 64.2% +9.93% 3474.1M 2375.4M −33.09% Short-term AA-LCR 44.0% 47.5% +7.95% 112.0M 77.3M −30.98% Long-term PersonaMem 48% 76% +59% — — — These results are measured over continuous long-horizon sessions, not isolat…