#103 · Primary category: AI Agents & Automation

TencentDB-Agent-Memory

agent ai-agent embedding llm local-first long-term-memory memory openclaw-plugin vector-search

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.

Project last updated:08/27/26

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Why we included this project

Once you have several AI agents doing real work, the biggest annoyance is that each new session starts from scratch. The same project context and working decisions get re-explained every time. TencentDB Agent Memory fixes that by acting as a shared memory hub: it captures conversations, documents, and code, then turns them into reusable assets like chat memory, extractable skills, a wiki of docs, and a code graph that any connected agent can pull from. It ships as a self-hosted stack with a web panel, so you can run it locally and hook it into tools like Claude Code or CodeBuddy. For small teams and solo builders, that means agents carry context across sessions and share what they learn instead of rediscovering the same details on every task.

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