AI agents can now remember important information across sessions. This skill gives them a persistent memory bank that stores architecture patterns, decisions, and project knowledge. It works like a smart notebook that your agent can search and update anytime.
The memory system automatically syncs with your project documentation. You can save new knowledge, retrieve past decisions, or search by keywords and tags. A built-in dashboard helps you visualize how memories are used.
Developers and teams who work with AI agents will benefit from this tool. It helps agents remember past conversations and decisions without losing context. This makes your AI assistant more reliable and consistent over time.
Global
mkdir -p ~/.claude/skills/agent-memory-mcpProject
mkdir -p .claude/skills/agent-memory-mcpSource 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