by Tencent · Codex Skill · ★ 3.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 vect
| Stars | 3,709 |
| Forks | 298 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 55.776/100 |
| Open Issues | 34 |
| Last Updated | 2026-05-21 |
| Created | 2026-04-07 |
| Platforms | node |
| Est. Tokens | ~197k |
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TencentDB-Agent-Memory is TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.. It is categorized as a Codex Skill with 3.7k GitHub stars.
TencentDB-Agent-Memory is primarily written in TypeScript. It covers topics such as agent, ai-agent, embedding.
You can find installation instructions and usage details in the TencentDB-Agent-Memory GitHub repository at github.com/Tencent/TencentDB-Agent-Memory. The project has 3.7k stars and 298 forks, indicating an active community.
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