← RAG & agent memory

TencentDB-Agent-Memory

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.

AgentPick Score 80/100#9 in RAG & agent memory★ 29k GitHub starsUpdated 14 Oct 2026TypeScript

Ranked by AgentPick Score, our data score from public GitHub activity. Description is the project's own.

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

Starter prompt

Try TencentDB-Agent-Memory on one small, low-risk task: [task]. Tell me what worked, what didn't, and how long it took.
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