Memory Systems
Choose and wire a production memory layer for an LLM agent by comparing Mem0, Zep/Graphiti, Letta, Cognee, and LangMem with benchmarks.
Install
npx skills add https://github.com/viktorbezdek/skillstack --skill memory-systemsWhat is this skill?
- Compares 5 memory frameworks with benchmarks
- Temporal knowledge graphs
- Memory consolidation strategies
- Retrieval strategy guidance
Adoption & trust: 9 GitHub stars.
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Journey fit
Primary fit
Selecting and integrating a memory backend is core agent-construction work, squarely in the build stage where you assemble the agent's components. Memory architecture is agent-tooling: it equips the agent with retrieval, temporal knowledge graphs, and consolidation rather than UI or generic backend logic.