Tencent Cloud has open-sourced TencentDB Agent Memory v2.0, a team-level memory hub for AI agents that turns conversations, documents and code into four reusable memory assets: Chat Memory, Skill, LLM-Wiki and Code-Graph. These assets are versioned, permissioned and equipped to specific agents. The stable 2.0.0 release was published on August 3, 2026. The system is MIT-licensed and self-hosted, with three Docker images published to Docker Hub that start with one command, and multi-arch builds covering linux/amd64 and linux/arm64. The project targets solo builders and small engineering teams, with mid-size organizations able to run it as shared infrastructure, while large regulated enterprises should pilot rather than standardize. Applications include onboarding a new agent to an existing codebase, impact analysis before refactoring, release checklists, incident runbooks, code review standards, and turning product docs into agent-readable pages. Chat Memory retains preferences, facts, decisions and interaction history; Skill distills reusable procedures from completed tasks; Wiki turns documents into structured pages with a link graph; and CodeGraph indexes symbols, files, call relationships and impact paths. Conversations save as L0, then an async pipeline refines them into L1 Atom, L2 Scenario and L3 Core/Persona, with retrieval using BM25 plus vector retrieval plus RRF, capped by item count, character budget and timeout. Governance differentiates