No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by TencentCloud · Codex Skill · ★ 22.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is TencentDB-Agent-Memory safe to install? View the security audit →
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 | 22,948 |
| Forks | 2,092 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 65.6380407284643/100 |
| Open Issues | 623 |
| Last Updated | 2026-08-15 |
| Created | 2026-04-07 |
| Platforms | node |
| Est. Tokens | ~19k |
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TencentDB-Agent-Memory is TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, s. It is categorized as a Codex Skill with 22.9k 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 22.9k stars and 2092 forks, indicating an active community.
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