AI agents often use many different memory systems. This makes them slow and hard to manage. The V3 Memory Specialist solves that by bringing all those systems into one place called AgentDB. It uses HNSW indexing to make searches up to 12,500 times faster. Everything still works with old code too.
Seven different memory backends become one unified system. This means agents can share memories and work faster. The specialist handles the whole process automatically. It is built for developers who want their agents to have a simple, powerful memory.
Global
mkdir -p ~/.claude/skills/agent-v3-memory-specialistProject
mkdir -p .claude/skills/agent-v3-memory-specialistSource 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