TencentDB-Agent-Memory — Codex Skill by TencentCloud

by TencentCloud · Codex Skill · ★ 6.2k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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

agentai-agentembeddingllmlocal-firstlong-term-memorymemoryopenclaw-pluginvector-search

Quick Facts

Stars6,208
Forks545
LanguageTypeScript
CategoryCodex Skill
Quality Score68.3318796658995/100
Open Issues116
Last Updated2026-06-26
Created2026-04-07
Platformsnode
Est. Tokens~19k

Compatible Skills

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

  • TencentDB-Agent-Memory — semantic(1.00)+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • agentos — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (61%)
  • agentos — semantic(0.31)+complementary+same_lang+similar_pop+shared_platform (56%)
  • swarmvault — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • MemOS — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (55%)

TencentDB-Agent-Memory alternative? Top 6 similar tools

Looking for a TencentDB-Agent-Memory alternative? If you're comparing TencentDB-Agent-Memory with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • TencentDB-Agent-Memory by Tencent · ⭐ 4.5k

    TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline,

  • MemOS by MemTensor · ⭐ 10.0k

    Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill r

  • Acontext by memodb-io · ⭐ 3.3k

    Agent Skills as a Memory Layer

  • honcho by plastic-labs · ⭐ 5.6k

    Memory library for building stateful agents

  • cipher by campfirein · ⭐ 3.6k

    Byterover Cipher is an opensource memory layer specifically designed for coding agents. Compatible with Cursor

  • EverMemOS by EverMind-AI · ⭐ 3.5k

    A memory OS that makes your OpenClaw agents more personal while saving tokens.

More Codex Skill Tools

Explore other popular codex skill tools:

View all Codex Skill tools →

Popular TypeScript Agent Tools

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 6.2k 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/TencentCloud/TencentDB-Agent-Memory. The project has 6.2k stars and 545 forks, indicating an active community.

What are the best alternatives to TencentDB-Agent-Memory?

The top alternatives to TencentDB-Agent-Memory on Agent Skills Hub include TencentDB-Agent-Memory, MemOS, Acontext. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

View on GitHub → Browse Codex Skill tools