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Browses all stored memories grouped by category with full content display. Use when reviewing all memories, exploring stored knowledge, onboarding to a new session, or getting an overview of what the agent remembers.

From plugin
mem0
65k15 skills1 agent1 MCP
Install
$ npx -y skills add mem0ai/mem0 --skill tour --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/tour

Context preview

The summary Claude sees to decide when to auto-load this skill.

Browses all stored memories grouped by category with full content display. Use when reviewing all memories, exploring stored knowledge, onboarding to a new session, or getting an overview of what the agent remembers.

SKILL.md

tour.SKILL.md
name: tour
description: Browses all stored memories grouped by category with full content display. Use when reviewing all memories, exploring stored knowledge, onboarding to a new session, or getting an overview of what the agent remembers.

Memory Tour

Show the user what Mem0 has stored — a full walkthrough of all memories grouped by category.

Cross-project mode

When invoked with `--all-projects` (e.g., `/mem0-tour --all-projects`), search across ALL projects:

1. Use `mem0_memory` tool with `action="get_all"`, `scope="global"` — no project filter. 2. Group results by project first, then by category within each project. 3. Display:

   ## <project_1> (<N> memories) <- current
   **Goals** — <memory content>
   ...

   ## <project_2> (<N> memories)
   ...

   <N> memories across <M> projects

4. Mark the current project with `<- current` in the heading.

If `--all-projects` is NOT present, use the standard single-project flow below.

Search mode

When `/mem0-tour` receives a search query argument (e.g., `/mem0-tour cooking recipes`), run in **search mode** — compact one-liner results:

1. Use `mem0_memory` tool with `action="search"`, `query=<query>`. 2. Display compact results (same format as the search skill). 3. If no results: `No memories matching "<query>".`

If no query argument and no `--all-projects` flag, use the full tour flow below.

Execution

Step 1: Fetch ALL memories

Use `mem0_memory` tool with `action="get_all"`.

Step 2: Group by category

Group memories using their `categories` field. Map to display names:

| Category | Display name | |---|---| | `identity` | Identity & Background | | `preferences` | Preferences | | `goals` | Goals & Aspirations | | `projects` | Projects & Initiatives | | `decisions` | Decisions | | `technical` | Technical Knowledge | | `relationships` | People & Relationships | | `routines` | Routines & Workflows | | `lessons` | Lessons Learned | | `work` | Work & Professional | | anything else | Other |

Step 3: Display results

Sort groups by descending memory count. For each group:

## <display_name> (<count> memories)
- <full_memory_content> (<date>)
- ...

Show the **full memory text** for each entry — do NOT truncate. If a group has more than 10 entries, show top 10 by recency and note `... and <N> more`.

Step 4: Print totals

<N> memories across <M> categories

Step 5: Empty state

If zero memories found:

No memories stored yet. Start a conversation — Mem0 captures learnings automatically, or use /mem0-remember to store something manually.
Read more
Ships withmem0

Mem0 ("mem-zero") enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions.

Get the whole plugin, auto-invoked
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Python
Language
Apache-2.0
License
1d ago
Last commit
3y ago
Created

Repo: mem0ai/mem0

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