by TencentCloud · Codex Skill · ★ 6.2k
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 | 6,208 |
| Forks | 545 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 68.3318796658995/100 |
| Open Issues | 116 |
| Last Updated | 2026-06-26 |
| Created | 2026-04-07 |
| Platforms | node |
| Est. Tokens | ~19k |
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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 6.2k 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/TencentCloud/TencentDB-Agent-Memory. The project has 6.2k stars and 545 forks, indicating an active community.