Designs agent memory architectures and compares frameworks like Mem0, Zep, Letta, and Cognee.
npx skills add https://github.com/TECH-HY/SKILLS --skill memory-systems-tech-hy
Please help me install this Agent Skill. Skill: memory-systems Source: https://github.com/TECH-HY/SKILLS/tree/main/skills/memory-systems Command: npx skills add https://github.com/TECH-HY/SKILLS --skill memory-systems-tech-hy
High-intent search queries and answers about installing and using this skill.
Start with file-system memory storing facts as structured JSON with timestamps, then move to Mem0 or a vector store when you need semantic search. Add Zep/Graphiti or Cognee only when you need relationship traversal or temporal validity tracking.
Mem0 offers the fastest path to production with managed infrastructure. Zep/Graphiti fits enterprise cases needing bi-temporal relationship modeling. Cognee builds denser multi-layer semantic graphs suited for multi-hop reasoning and evolving memory.
A temporal knowledge graph stores facts with validity intervals (valid_from, valid_until), letting agents query what was true at a specific time. This prevents stale facts from poisoning context when information changes over time.
A vector store suffices for direct factual queries, but degrades on multi-hop reasoning. Benchmarks show Letta's simple filesystem agents scored 74% on LoCoMo, so add graph structure only when retrieval quality demands it.
Stale results occur when temporal validity is not tracked. Check valid_until timestamps, prefer facts with the most recent valid_from, and trigger consolidation when most results are expired. Surface conflicts to users when confidence is low.
Evaluate against LoCoMo, LongMemEval, or DMR benchmarks before and after changes. Treat results as signals for specific retrieval dimensions rather than definitive rankings, and monitor memory growth and retrieval latency in production.
KrystianYCSilvaOptimize dynamic context discovery, compression, caching, and memory management for token efficiency.
nshaikhsIdentify memory architectures and persistence strategies for cross-session AI agent continuity.
EchoNoReturnDiagnose context stuffing and guide memory architecture in AI workflows.
yeeehaoooStore and retrieve agent memories across sessions with layered memory systems.
