Memory Systems
Skill Verified ActiveGuides 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).
Guides the design and implementation of agent memory systems, helping users choose appropriate frameworks and architectures for persisting knowledge across sessions.
Features
- 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
Use Cases
- Building agents that must persist knowledge across sessions
- Choosing between memory frameworks
- Maintaining entity consistency across conversations
- Designing memory architectures that scale in production
Non-Goals
- 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.
Installation
First, add the marketplace
/plugin marketplace add muratcankoylan/Agent-Skills-for-Context-Engineering/plugin install Agent-Skills-for-Context-Engineering@context-engineering-marketplaceQuality Score
VerifiedTrust Signals
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