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Sets up and drives TencentDB Agent Memory (MemoryCore + MemoryHub + MemoryProxy + MemoryPanel, from AnEntrypoint/agent-memory) -- a persistent, cross-session memory and knowledge system for AI agents. Chat Memory (L0 conversation -> L1 atom -> L2 scenario -> L3 persona), a versioned Skill library extracted from past work, a Wiki + CodeGraph knowledge map over docs and code, and a human-controlled review panel. Use when the user wants an agent team to share and accumulate memory/skills/knowledge across sessions and across multiple agent frameworks (not just this one Claude Code session), when they mention "memory hub", "team memory", "chat memory", "skill library", "wiki", "codegraph", or ask to install/configure/troubleshoot the memory-tencentdb plugin, or when onboarding a new agent into an existing team's accumulated experience. As of gm's tencentdb_backend addition, this system's format can ALSO be gm's own memorize/recall/memorize-fire/memorize-prune backend for an opted-in namespace (see gm.config.json's memory.tencentdb_backend) -- when that's enabled, the verb surface an agent already knows is unchanged; only the storage target moves. Use this skill for the standalone deployment (Docker Compose, panel UI, team review) or when gm's own backend is not what's being asked about.