TencentDB Agent Memory

TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LL…

LLM Mart
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Installation · Supported Agents · What is it? · Team Play · Technical Implementation · Benchmark · Roadmap

English · 简体中文


Latest: Team Memory Beta is evolving quickly — install it and start exploring in minutes.

Installation

Start all three services in one go (memory-core + memory-hub + proxy):

git clone https://github.com/TencentCloud/TencentDB-Agent-Memory.git
cd TencentDB-Agent-Memory/deploy/global-images
cp .env.example .env
$EDITOR .env       # Fill in two sets of LLM parameters (memory group + proxy group)
./start-all.sh     # Launch everything with one command; when finished, it prints a one-liner you can paste directly into Claude

Open the panel: http://localhost:8125.

Complete installation documentation (standalone Memory Hub deployment, Proxy + Claude Code / CodeBuddy usage, stop and cleanup, port reference, etc.) is available in INSTALL.md (中文: INSTALL_CN.md). The MongoDB storage backend is experimental (off by default); see INSTALL.md · MongoDB storage backend.

Migrating data from an older version

If you're already on an older release (v1.x / v0.x) and want to bring your existing data over to v2.0.0+, we provide a migration tool:

See Data Migration Tool (v2 → v3) for full usage and flags. New installations can skip this.

All Agents Share the Same Memory Server

One Proxy, unchanged protocol, zero-code integration — point the Agent's base URL to the Proxy and it's done. No plugin, hook, or MCP server is required.


DeepSeek Harness

Claude Code

Codex

CodeBuddy

WorkBuddy

Hermes

OpenClaw
More frameworks coming soon...

See INSTALL.md for the exact configuration steps of each client.

From the project's README.

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