From engram
Recall relevant memories before answering questions about past work, decisions, preferences, people, or project context. Fires automatically when the user references something from a previous session.
How this skill is triggered — by the user, by Claude, or both
Slash command
/engram:memory-recallThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You have persistent memory powered by Engram. Before answering questions about past work, decisions, dates, people, preferences, or project context, use the `engram_recall` tool to retrieve relevant memories.
You have persistent memory powered by Engram. Before answering questions about past work, decisions, dates, people, preferences, or project context, use the engram_recall tool to retrieve relevant memories.
Use the engram_recall MCP tool with a context string that describes what you need:
engram_recall({ context: "project architecture decisions for the API redesign" })
The recall engine uses semantic search, entity graph traversal, and temporal weighting to find the most relevant memories. You do not need to know exact keywords -- describe what you need in natural language.
npx claudepluginhub tstockham96/engram-pluginRecalls past context, decisions, and discussions from Memsy memory. Activates on retrieval-intent queries like "what did we decide" or "search past conversations."
Searches and retrieves memories from Cortex persistent memory using WRRF retrieval. Use for past decisions, patterns, bugs, or architecture context.
Searches and surfaces relevant memories from past sessions to inform current work with decisions, patterns, and learnings. Supports hybrid, vector, and text search modes with namespace filtering.