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TencentDB Agent Memory: A team-level memory hub for AI agents

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TencentDB Agent Memory: A team-level memory hub for AI agents
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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). 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. We started from a practical question: How do you reduce repetitive work when using Agents?

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Original publisherGitHub
Canonical URLhttps://github.com/TencentCloud/TencentDB-Agent-Memory
Publication timeWed, 05 Aug 2026 15:20:39 +0000
Retrieval time2026-08-05T15:25:41.720Z
Last seen2026-08-05T15:25:41.720Z
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Opening excerpt (first ~120 words) tap to expand

Agents remember. Humans innovate. Installation · What is it? · Team Play · Technical Implementation · Benchmark English · 简体中文 Latest: Team Memory Beta is evolving quickly — install it and start exploring in minutes. memoryhub_demo.mov Installation Start all three services in one go (memory-core + memory-hub + proxy): git clone https://github.com/Tencent/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.

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