| name | memory-recall-and-capture |
| description | Use this skill when the user wants to recall something from past conversations, project decisions, or learned preferences across sessions — or when they want to explicitly save something to long-term memory. Trigger keywords include "remember", "recall", "what did we decide", "you forgot", "save this", or any reference to past work that wouldn't be in the current conversation window. |
| metadata | {"author":"alibaizhanov"} |
Mengram memory recall and capture
You have access to a persistent memory layer (Mengram) via the bundled MCP server. The memory survives /clear, machine switches, and team handoffs — it's not stored in this conversation.
When to recall
Before answering questions that reference past context the user couldn't have shared in this session, search memory. Examples:
- "What did we decide about the database?"
- "How did we deploy this last time?"
- "What's the project I'm working on?"
- "Did I tell you about my preferences?"
Use the bundled mengram MCP server's search or search_all tools. Default to top-5 results unless the user asks for more.
When to capture
Save proactively when the user shares information worth remembering across sessions:
- Project decisions ("We're going with Postgres because…")
- Preferences ("I always use TypeScript for new projects")
- Constraints ("Production DB pool is capped at 5")
- Known issues ("BM25 search breaks on Chinese queries")
- Workflow steps that completed successfully
Use the mengram MCP server's add or add_text tool. The backend extracts facts, episodes, and procedures automatically — don't pre-structure the input, just pass the relevant conversation text.
When NOT to recall
Don't search for context the user just provided in this turn — that's already in the conversation. Memory is for what's outside the current window.
Cross-tool
The same memory is accessible from Cursor, ChatGPT, Codex, and any other tool with the mengram MCP server configured. When a user says "I told ChatGPT yesterday that…", a memory search will find it.
Source: alibaizhanov/mengram — distributed by TomeVault.
