AI Infrastructure · npm

@tencentdb-agent-memory/memory-tencentdb

Four-layer local memory system plugin for OpenClaw — auto-captures, structures, and profiles conversational knowledge using local LLM + SQLite vector search (L0→L1→L2→L3 pipeline)

Details

Author
tencentdb-agent-memory
Category
AI Infrastructure
Platform
npm
Framework
unknown
Language
javascript
Stars
0
First indexed
2026-05-15
Last active
Directory sync
2026-05-15

Overview

Four-layer local memory system plugin for OpenClaw — auto-captures, structures, and profiles conversational knowledge using local LLM + SQLite vector search (L0→L1→L2→L3 pipeline)

Quick start

npm

npm install @tencentdb-agent-memory/memory-tencentdb

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What @tencentdb-agent-memory/memory-tencentdb can do

  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Embedding — Computes vector embeddings for semantic search.
  • Ai — ai task automation.
  • Ai Memory — ai-memory task automation.

Frequently asked questions

What is @tencentdb-agent-memory/memory-tencentdb?
Four-layer local memory system plugin for OpenClaw — auto-captures, structures, and profiles conversational knowledge using local LLM + SQLite vector search (L0→L1→L2→L3 pipeline)
How do I install @tencentdb-agent-memory/memory-tencentdb?
Use npm: `npm install @tencentdb-agent-memory/memory-tencentdb`. Full setup details on the source page linked above.
Is @tencentdb-agent-memory/memory-tencentdb open source?
@tencentdb-agent-memory/memory-tencentdb is published on npm.
What are alternatives to @tencentdb-agent-memory/memory-tencentdb?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for @tencentdb-agent-memory/memory-tencentdb is sourced from npm, published by tencentdb-agent-memory.

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