Smart AI agents need memory to work well across different conversations. This skill helps you design memory systems that can store information for a short time or a long time.
You can also connect facts using graph-based memory. This allows the agent to understand relationships between people, products, and events.
The result is an agent that learns and grows from past interactions. It can keep track of entities and reason over accumulated knowledge.
Global
mkdir -p ~/.claude/skills/memory-systemsProject
mkdir -p .claude/skills/memory-systemsSource Repository
Obsidian Baseskepano/obsidian-skills
Build powerful database views inside Obsidian with filters formulas and summaries
Compressjuliusbrussee/caveman
Shrink memory files into caveman speak to save tokens and preserve code
Dbs Restoredontbesilent2025/dbskill
Continue your diagnosis where you last left off without repeating yourself
Remembergithub/awesome-copilot
Save lessons learned and build a smart knowledge base that grows with you
Remembering Conversationsobra/episodic-memory
Search past conversations to recall decisions, solutions, and avoid repeating mistakes
Rememberrohitg00/agentmemory
Save important insights with tags and recall them later easily
Session Historyrohitg00/agentmemory
See your recent session history in a clean timeline instantly
Recallrohitg00/agentmemory
Quickly recall past sessions and learnings from your agent's memory