Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
Plugin port maintainer avatar

Tencentdb Agent Memory

  • 6 repo stars
  • Updated July 26, 2026
  • baodq97/tencentdb-agent-memory

tencentdb-agent-memory is a Claude Code plugin that stores four-layer long-term memory locally with hybrid FTS5 and vector recall so agents can remember context across sessions without external APIs.

About

tencentdb-agent-memory is a Claude Code plugin inspired by TencentDB Agent Memory that implements four-layer long-term memory entirely on your machine. Hooks inject hybrid FTS5 and vector recall on each prompt, auto-capture turns, and consolidate scenes and persona without external APIs. Use it when you want durable, privacy-preserving Claude Code memory with a tmem CLI and optional GitHub contributor intelligence via /contrib.

  • Four-layer memory: L0 conversation, L1 atoms, L2 scenes, L3 persona
  • Hybrid FTS5 plus EmbeddingGemma vector search merged with RRF
  • Fully local with no external gateway or paid API required
  • tmem CLI for search, recall, scenes, sync, and daemon management
  • /contrib profiles GitHub engineers into evidence-linked contributor personas

Tencentdb Agent Memory by the numbers

  • Data as of Jul 27, 2026 (Skillselion catalog sync)
/plugin marketplace add baodq97/tencentdb-agent-memory

Add your badge

Show developers this marketplace is listed on Skillselion. Paste this into your README.

Listed on Skillselion
repo stars6
Last updatedJuly 26, 2026
Repositorybaodq97/tencentdb-agent-memory

How can Claude Code retain and retrieve relevant memories across sessions without cloud memory services or paid embedding APIs?

Give Claude Code four-layer local long-term memory with hybrid FTS5 and vector recall plus optional GitHub contributor profiling.

Who is it for?

Developers running Claude Code who want local, hybrid-recall long-term memory with CLI inspection and optional GitHub contributor profiling.

Skip if: Teams needing hosted multi-user memory sync or simple one-shot context without setup of local embedding models.

What you get

Creates local memory stores under ~/.memory-tencentdb, injects recalled persona and atoms into prompts, and exposes tmem commands for search, scenes, and consolidation.

Recommended Marketplaces

FAQ

Does it require external APIs?

No. All extraction and consolidation is done by the Claude agent with local FTS5, sqlite-vec, and EmbeddingGemma-300m embeddings.

What happens automatically each turn?

UserPromptSubmit runs hybrid recall and injects persona, relevant atoms, and an L2 scene-navigation index; Stop and SessionEnd capture and queue consolidation.

What is /contrib for?

It profiles public GitHub engineers into evidence-linked contributor personas and playbooks stored separately from self-memory.

AI Agentsagentsautomation

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.