How do I install the Memory Recall And Capture skill?

Run npx skillmds@latest add tomevault-io/memory-recall-and-capture in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Memory Recall And Capture safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Memory Recall And Capture?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Memory Recall And Capture free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Memory Recall And Capture?

tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Memory Recall And Capture by tomevault-io

Name: Memory Recall And Capture
Author: tomevault-io

Memory Recall And Capture

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.

tomevault-io Updated Sep 17, 2026

File contents

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.

---name: memory-recall-and-capturedescription: 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.---# Mengram memory recall and captureYou 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 recallBefore 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 captureSave 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 successfullyUse 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 recallDon'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-toolThe 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](https://github.com/alibaizhanov/mengram) — distributed by [TomeVault](https://tomevault.io).

Frequently asked questions