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.
Implement a local memory system for AI agents to improve their performance and efficiency (OpenClaw required)
git clone https://github.com/Tencent/TencentDB-Agent-Memory.git cd TencentDB-Agent-Memory/deploy/global-images cp .env.example .env
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeTencentDB 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.
TencentDB-Agent-Memory has 25.3k stars on GitHub. It has been forked 2.4k times. TencentDB-Agent-Memory is written mainly in TypeScript. It has been in active development since 2026. Its main topics are agent, ai-agent, embedding, llm.
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.
TencentDB-Agent-Memory is an open-source project.
Yes. TencentDB-Agent-Memory is free and open source — you can use, modify and self-host it.
TencentDB-Agent-Memory is written mainly in TypeScript.
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