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TencentCloud/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… Why it matters: worth a look if you build or run autonomous agents.

GitHub description: 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.

Stars

29k

Last 24h

+151est.

Last 7 days

+1.1kest.

Forks

2.8k

Who it's for

Teams and individual developers running multiple AI agents who want shared, governed memory (chat history, skills, docs, and code knowledge) that persists across agents and frameworks. Also suited to a one-person company building a squad of specialized agents.

  • Share Chat Memory, Skills, Wiki, and CodeGraph across a team of AI agents
  • Cold-start new agents from existing codebases, docs, and past conversation sessions
  • Equip role-specific agents (e.g., Reviewer, Builder) with only the memory assets they need

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Star history for TencentCloud/TencentDB-Agent-Memory

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About TencentDB-Agent-Memory

TencentCloud/TencentDB-Agent-Memory is a TypeScript project in the AI agents category, created 6 months ago. It has 29k GitHub stars and 2.8k forks, and gained +1.1k stars over the last 7 days (early estimate), ranking #21 of 104 AI agents repos tracked by OSS Radar this week.

See more trending AI agents repos or the top AI repos this week.

Language
TypeScript
Category
AI agents
Created
Apr 7, 2026
Last push
Oct 13, 2026
  • agent
  • ai-agent
  • embedding
  • llm
  • local-first
  • long-term-memory
  • memory
  • openclaw-plugin
  • vector-search

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