TencentDB-Agent-Memory
TencentDB Agent Memory is a team-level AI agent memory center that transforms conversations, documents, and code into reusable memory assets.
- Type
- Agent Skill
- Open source
- Yes
- GitHub Stars
- ★ 9.6k
- Source
- skill-github
Overview
TencentDB Agent Memory is a team-level AI agent memory center that converts conversations, documents, and code into four types of reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph), which can be shared and used across multiple agents and frameworks. By leveraging symbolic short-term memory and hierarchical long-term memory techniques, it significantly reduces token usage and improves task success rates. Ideal for development teams requiring efficient information management and reuse.
Capabilities
- ▪Symbolic short-term memory reduces token usage
- ▪Hierarchical long-term memory improves task success rate
- ▪Cross-session experience reuse
- ▪Shared memory assets across multiple agents
Use cases
Setup
npm install @tencentdb-agent-memory/memory-tencentdb
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
How do I get started with TencentDB Agent Memory?
Please refer to the Quick Start documentation for installation and configuration.
What versions of Node.js are supported?
Supports Node.js version >=22.16.
Related skills
gemini-cli
Gemini CLI is an open-source AI agent that brings Gemini's powerful capabilities directly into the terminal.
sast-skills
Transform your AI coding assistant into a SAST scanner to automatically detect vulnerabilities in code.
better-harness
Helps coding agents (like Claude Code, Codex, etc.) improve workflows.
scientific-agent-skills
Transform any AI agent into a scientific assistant with 147 ready-to-use research skills.
susi_alexa_skill
A skill that enables question-and-answer interactions between Alexa and Susi AI.
claude-context
Provides code search capabilities for Claude Code, turning the entire codebase into context.