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Memory Systems

技能已验证活跃

Guides implementation of agent memory systems, compares production frameworks (Mem0, Zep/Graphiti, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention. Use when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph for agents", "track entities over time", "add long-term memory", "choose a memory framework", or mentions temporal knowledge graphs, vector stores, entity memory, adaptive memory, dynamic memory or memory benchmarks (LoCoMo, LongMemEval).

目的

Guides the design and implementation of agent memory systems, helping users choose appropriate frameworks and architectures for persisting knowledge across sessions.

功能

Guides agent memory system implementation
Compares production memory frameworks (Mem0, Zep/Graphiti, Letta, LangMem, Cognee)
Designs persistence architectures for cross-session knowledge retention
Details memory layers and retrieval strategies
Provides practical integration examples and benchmarks

使用场景

Building agents that must persist knowledge across sessions
Choosing between memory frameworks
Maintaining entity consistency across conversations
Designing memory architectures that scale in production

非目标

Implementing specific LLM models for embedding
Providing a runtime for memory systems
General prompt engineering beyond memory context

Trust

info:Issues AttentionIn the last 90 days, 6 issues were opened and 2 were closed, indicating a slow response rate to new issues.

安装

请先添加 Marketplace

/plugin marketplace add muratcankoylan/Agent-Skills-for-Context-Engineering

/plugin install Agent-Skills-for-Context-Engineering@context-engineering-marketplace

质量评分

已验证

97 /100

1 day ago 分析

信任信号

最近提交about 1 month ago

GitHub 所有者 muratcankoylan

星标15.6k

Extract entities and relations from source files to build a knowledge graph

技能

ruvnet