TencentDB-Agent-Memory

About TencentDB-Agent-Memory

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

agent ai-agent embedding llm local-first long-term-memory memory openclaw-plugin vector-search

Quick Facts

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

Compatible Skills

These tools work well together with TencentDB-Agent-Memory for enhanced workflows:

openclaw-engram — semantic(0.51)+complementary+same_lang+similar_pop+shared_platform (63%)
Ori-Mnemos — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (62%)
remnic — semantic(0.48)+complementary+same_lang+similar_pop+shared_platform (62%)
MoltBrain — semantic(0.38)+complementary+same_lang+similar_pop+shared_platform (58%)
OpenFlux — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (57%)

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Frequently Asked Questions

What is TencentDB-Agent-Memory?

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.

What programming language is TencentDB-Agent-Memory written in?

TencentDB-Agent-Memory is primarily written in TypeScript. It covers topics such as agent, ai-agent, embedding.

How do I install or use TencentDB-Agent-Memory?

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.

View on GitHub → Browse Codex Skill tools