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  1. Home
  2. /Repositories
  3. /TencentCloud/TencentDB-Agent-Memory
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago

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 Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • FuzzySimilar title/name (fuzzy) · 66%RippleMem: From Isolated Retrieval to Associative Recollection for Long-Term Agent Memory →

    “Fuzzy title match (0.78): “RippleMem: From Isolated Retrieval to Associative Recollecti” ≈ “TencentCloud/TencentDB-Agent-Memory””

  • FuzzySimilar title/name (fuzzy) · 66%Adaptive Memory and Reflection Multi-Agent System for Medical Question Answering →

    “Fuzzy title match (0.78): “Adaptive Memory and Reflection Multi-Agent System for Medica” ≈ “TencentCloud/TencentDB-Agent-Memory””

  • FuzzySimilar title/name (fuzzy) · 66%Utility Under Attack: Agent Memory Poisoning and the Limits of Content Screening and Provenance Ranking →

    “Fuzzy title match (0.78): “Utility Under Attack: Agent Memory Poisoning and the Limits ” ≈ “TencentCloud/TencentDB-Agent-Memory””

  • FuzzySimilar title/name (fuzzy) · 66%InjecMEM: Memory Injection Attack on LLM Agent Memory Systems →

    “Fuzzy title match (0.78): “InjecMEM: Memory Injection Attack on LLM Agent Memory System” ≈ “TencentCloud/TencentDB-Agent-Memory””

  • PossiblePossibly related (embedding) · 58%AI agents need context everywhere they run, even where the cloud can't follow →
  • PossiblePossibly related (embedding) · 57%Structured memory filtering with metadata in AgentCore Memory →
  • PossiblePossibly related (embedding) · 53%Multi-cloud lakehouse architecture on AWS for Agentic AI, Part 1: Architecture and best practices - Amazon Web Services (AWS) →
  • FuzzySimilar title/name (fuzzy) · 66%Supra Cognitive Modes: A Routed Architecture for Agent Memory →

    “Fuzzy title match (0.78): “Supra Cognitive Modes: A Routed Architecture for Agent Memor” ≈ “TencentCloud/TencentDB-Agent-Memory””

Implements

paperRippleMem: From Isolated Retrieval to Associative Recollection for Long-Term Agent MemorypaperAdaptive Memory and Reflection Multi-Agent System for Medical Question AnsweringpaperUtility Under Attack: Agent Memory Poisoning and the Limits of Content Screening and Provenance RankingpaperInjecMEM: Memory Injection Attack on LLM Agent Memory SystemspaperSupra Cognitive Modes: A Routed Architecture for Agent MemorypaperAgentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture ProblemspaperMemTools: A Unified Research Framework for Interoperable Agent MemorypaperRecursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses

Covers

newsAI agents need context everywhere they run, even where the cloud can't follownewsStructured memory filtering with metadata in AgentCore MemorynewsMulti-cloud lakehouse architecture on AWS for Agentic AI, Part 1: Architecture and best practices - Amazon Web Services (AWS)

Related to (incoming)

modelAgentCore-8BpaperMemSyco-Bench: Benchmarking Sycophancy in Agent MemorypaperShared Selective Persistent Memory for Agentic LLM SystemspaperMemory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents

Covers (incoming)

newsTencentDB Agent Memory Tops 20,000 GitHub Stars in 90 Days, Launches Team Memory for Multi-Agent Collaboration - macaubusiness.com

Related across the graph

newsTencentDB Agent Memory Tops 20,000 GitHub Stars in 90 Days, Launches Team Memory for Multi-Agent Collaboration - macaubusiness.comnewsAI agents need context everywhere they run, even where the cloud can't follownewsMulti-cloud lakehouse architecture on AWS for Agentic AI, Part 1: Architecture and best practices - Amazon Web Services (AWS)paperInjecMEM: Memory Injection Attack on LLM Agent Memory SystemspaperAgentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture ProblemsnewsStructured memory filtering with metadata in AgentCore MemorypaperAdaptive Memory and Reflection Multi-Agent System for Medical Question AnsweringpaperMemory as a Controlled Process: Learned Adaptive Memory Management for LLM AgentsmodelAgentCore-8BpaperMemTools: A Unified Research Framework for Interoperable Agent MemorypaperRippleMem: From Isolated Retrieval to Associative Recollection for Long-Term Agent MemorypaperShared Selective Persistent Memory for Agentic LLM SystemspaperRecursive Experiential-Working Memory Evolution for Long-Horizon Agent HarnessespaperSupra Cognitive Modes: A Routed Architecture for Agent MemorypaperMemSyco-Bench: Benchmarking Sycophancy in Agent MemorypaperUtility Under Attack: Agent Memory Poisoning and the Limits of Content Screening and Provenance Ranking
Knowledge path·NTencentDB Agent Memory Tops 20,000 GitHub Stars in 90 Days, Launches Team Memory for Multi-Agent Collaboration - macaubusiness.com→NAI agents need context everywhere they run, even where the cloud can't follow→NMulti-cloud lakehouse architecture on AWS for Agentic AI, Part 1: Architecture and best practices - Amazon Web Services (AWS)→RTencentCloud/TencentDB-Agent-Memory

Topics

agentai-agentembeddingllmlocal-firstlong-term-memorymemoryopenclaw-pluginvector-search

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Graph trust82Primary
Graph score9242