Store and retrieve persistent memory across AI agent sessions.
npx skills add https://github.com/MrWest3/west-command-center --skill memory-mrwest3
Please help me install this Agent Skill. Skill: memory Source: https://github.com/MrWest3/west-command-center/tree/main/templates/analyst/.claude/skills/memory Command: npx skills add https://github.com/MrWest3/west-command-center --skill memory-mrwest3
Memory is how you maintain continuity across restarts and context compactions — without it, every session starts blind.
Initialize the memory system in your agent workspace and start recording a daily entry at the start of each session.
High-intent search queries and answers about installing and using this skill.
Persistent memory for AI agents stores and retrieves context across sessions to preserve continuity. It applies structured read and write routines during session initialization, heartbeat updates, and termination to prevent sessions from starting blind.
A three-layer memory model maintains agent learning during context compaction by splitting data into daily memory, long-term memory, and a knowledge base. Automated journaling logs session start, heartbeat, and end events to provide a durable context trail.
Initialize the memory system in the agent workspace and start recording a daily entry at the start of each session. This automatically logs session boundaries and heartbeat updates into structured daily memory and long-term memory layers.
Yes, the memory system is RAG-ready and exposes structured memory data to downstream search and retrieval systems. This ingestion allows the knowledge base layer to be queried by retrieval-augmented generation components.
No dependencies are required to implement the three-layer memory model for session initialization and termination. The automated journaling and structured read/write routines operate independently to preserve context without external modules.
yocxy2Restore session context and workspace state for multi-session engineering tasks.
hffmnnjStore and retrieve persistent information across sessions with memory interfaces.
linnefromiceSuggest manual context compaction at workflow transitions via a PreToolUse hook.
GSU-FrankJImplements agent memory systems for cross-session persistence and structured knowledge representation via temporal graphs, vector stores, and entity tracking.
