memory-systems
Designs persistent agent memory: cross-session retention, entity tracking, temporal validity, graph or vector retrieval and consolidation.
- Kind
- Skill
- Works with
- Any agent
- Source
- Agent Skills for Context Engineering @ 9ff0c99108b3
- Path
- skills/memory-systems/SKILL.md
- Jobs
- Context management
- Topics
- Agents & MCP
Credit
- Made by
- muratcankoylan
- Original
- github.com/muratcankoylan/Agent-Skills-for-Context-Engineerin…
- License
- MIT
Listed by Skill Manifest; not made by us.
InstallInstall it from a plugin marketplace.
/plugin install context-engineering@context-engineering-marketplace
Install factsScanned 2 Nov 2026
- Adds
- .claude/skills/memory-systems/ (the skill folder)
- 1 file(s) the skill refers to
- Runs scripts
- None found
- Uses the network
- None found
- Needs secrets
- None found
- Source revision
- 9ff0c99108b3
- Licence
- MIT
- Last activity
- 12 Oct 2026
- Review
- Reviewed
Found by a static scan of the stored text; nothing is run. “None found” is not a guarantee, so read what you install before you run it.
- Only the main file is read; other files in the folder are not scanned
# Memory System Design Memory provides the persistence layer that allows agents to maintain continuity across sessions and reason over accumulated knowledge. Simple agents rely entirely on context for memory, losing all state when sessions end. Sophisticated agents implement layered memory architectures that balance immediate context needs with long-term knowledge retention. The evolution from vector stores to knowledge graphs to temporal knowledge graphs represents increasing investment in structured memory for improved retrieval and reasoning. ## When to Activate Activate this skill when: - Building agents that must persist knowledge across sessions - Choosing between memory frameworks (Mem0, Zep/Graphiti, Letta, LangMem, Cognee) - Needing to maintain entity consistency across conversations - Implementing reasoning over accumulated knowledge - Designing memory architectures that scale in production - Evaluating memory systems against benchmarks (LoCoMo, LongMemEval, DMR) - Building dynamic memory with automatic entity/relationship extraction and self-improving memory (Cognee) Do not activate this skill for adjacent work owned by other skills: …