Your AI agent can store and recall information across different conversations. It uses a three memory layers system based on the PARA method. The first layer is a knowledge graph with atomic facts about people and projects. The second layer is a raw timeline of daily notes. The third layer captures tacit knowledge about your personal patterns and preferences.
Everything is saved to files so nothing is lost when a session ends. You can search using semantic search to find information even when words differ. The system also handles planning files and regular memory clean up. This makes your AI a reliable partner that remembers important details.
Global
mkdir -p ~/.claude/skills/para-memory-filesProject
mkdir -p .claude/skills/para-memory-filesSource 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