TencentDB-Agent-Memory

GitHub describes it as 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, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.. The repository metadata lists TypeScript as its primary language. The metadata lists the NOASSERTION license. This article stays within the project description and details documented in the GitHub repository README.

GitHub describes it as 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, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.. The repository metadata lists TypeScript as its primary language. The metadata lists the NOASSERTION license. The README describes the project this way: 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 README section "Migrating data from an older version" states: 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:

The README section "Migrating data from an older version" states: See Data Migration Tool (v2 → v3) for full usage and flags. New installations can skip this.

The README section "What is TencentDB Agent Memory?" states: We started from a practical question: How do you reduce repetitive work when using Agents?

The repository README is the source for this review. It does not replace a local installation or an independent test.

• Source 1 · Project repository
• Source 2 · README