🛠️

Tool

Tencentdb Agent Memory

Name: Tencentdb Agent Memory
Author: TencentCloud

by TencentCloud tencentcloud/tencentdb-agent-memory

Free2AITools Nexus Index

63.3

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 60

P: Popularity 65

R: Recency 100

Q: Quality 70

Tech Context

Vital Performance —

Source →

TypeScript Lang

Open Source 5.3K Stars

Alpha Reliability

Tool Information Summary
Entity Passport
Registry ID	tencentcloud/tencentdb-agent-memory
License	NOASSERTION
Provider	github

📜

Cite this tool

Academic & Research Attribution

BibTeX

@misc{gh_tool_tencentcloud_tencentdb_agent_memory,
  author = {TencentCloud},
  title = {Tencentdb Agent Memory Tool},
  year = {2026},
  howpublished = {\url{https://github.com/TencentCloud/TencentDB-Agent-Memory}},
  note = {Accessed via Free2AITools.}
}

APA Style

TencentCloud. (2026). Tencentdb Agent Memory [Tool]. Free2AITools. https://github.com/TencentCloud/TencentDB-Agent-Memory

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🐙 GitHub Clone

git clone https://github.com/TencentCloud/TencentDB-Agent-Memory

📦 NPM Install

npm install tencentdb-agent-memory

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 60

Popularity (P) 65

Recency (R) 100

Quality (Q) 70

💬 Index Insight

FNI V2.0 for Tencentdb Agent Memory: Authority (A:60), Popularity (P:65), Recency (R:100), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

📋 Specs

Language: TypeScript
License: NOASSERTION
Version: —

CODE

🔌 Usage & Integration

Quick Start

# ============ Configuration Parameters ============
# MODEL_API_KEY    LLM API key (required) — replace with your own credential
# MODEL_BASE_URL   LLM endpoint, defaults to Tencent Cloud LKE (Large Model Knowledge Engine)
# MODEL_NAME       Model name, defaults to DeepSeek-V3.2
# MODEL_PROVIDER   Provider type: "custom" works for any OpenAI-compatible endpoint

MODEL_API_KEY="your-api-key"
MODEL_BASE_URL="https://api.lkeap.cloud.tencent.com/v1"
MODEL_NAME="deepseek-v3.2"
MODEL_PROVIDER="custom"

# ============ docker run Flags ============
# -d                          Run container in detached (background) mode
# --name hermes-memory        Container name, for later docker exec / logs / stop
# --restart unless-stopped    Auto-restart on crash or host reboot
# -p 8420:8420                Host port ↔ container port (Hermes Gateway)
# -e MODEL_*                  Inject the config parameters above as env vars
# -v hermes_data:/opt/data    Persist memory data to a named volume (survives

Technical Documentation

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 vector piles.

When integrated with OpenClaw, it cuts token usage by up to 61.38%, improves pass rate by 51.52% (relative), and raises PersonaMem accuracy from 48% to 76%.

Memory Capability	Benchmark	OpenClaw Success	With Plugin	Relative Δ	OpenClaw Tokens	With Plugin Tokens	Relative Δ
Short-term	WideSearch	33%	50%	+51.52%	221.31M	85.64M	−61.38%
Short-term	SWE-bench	58.4%	64.2%	+9.93%	3474

Social Proof

GitHub Repository

5.3KStars

459Forks

Repo Issues

🐙 Data Source: GitHub ↗

🔄 Updated daily

Source summary: Based on GitHub metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Tool Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: gh-tool--tencentcloud--tencentdb-agent-memory
slug: tencentcloud--tencentdb-agent-memory
source: github
author: TencentCloud
license: NOASSERTION
tags: agent, llm, memory, openclaw-plugin, ai-agent, embedding, local-first, long-term-memory, vector-search, typescript

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag: other

📊 Engagement & Metrics

downloads: 0
stars: 5,273
forks: 459
github stars: 5,273

Data indexed from public sources. Updated daily.