Agent skill

Mem0 Memory Tour

by mem0ai in mem0ai/mem0

Shows every stored Mem0 memory grouped by category with full text, optionally across all projects or filtered by a search query.

Apache-2.0Auto-check passedAgent Workflows

Install Mem0 Memory Tour

skills CLI
$ npx skills add mem0ai/mem0 --skill tour -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mem0ai/mem0 tour --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mem0ai/mem0.git skills-src && mkdir -p .claude/skills && cp -r skills-src/integrations/pi-agent-plugin/skills/tour .claude/skills/tour && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
tour
GitHub stars
67k
Token cost
~652 tokens
SKILL.md length
249 words
Files
1
Skills in repo
26
Repo updated
First seen
Licence
Apache-2.0

At a glance

Shows every stored Mem0 memory grouped by category with full text, optionally across all projects or filtered by a search query.

  • Works in 5 steps: Fetch ALL memories → Group by category → Display results → …
  • Reviewing everything the agent has stored about you
  • SKILL.md covers Cross-project mode, Search mode and Execution
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

The skill fetches all memories through the mem0_memory tool and groups them by category under display names such as Identity and Background, Preferences, Goals and Aspirations, Projects and Initiatives, Decisions, Technical Knowledge, People and Relationships, Routines and Workflows, Lessons Learned and Work and Professional, with anything else under Other. Groups are sorted by memory count, show full text with dates, show the 10 most recent entries when a group is larger, and end with a total of memories across categories.

Two variants change the flow. With --all-projects it searches globally without a project filter and groups by project first, marking the current project, and with a search query it switches to search mode and prints compact one-line results. If nothing is stored, it prints a message that no memories exist yet and points to /mem0-remember. It is meant for reviewing what the agent remembers or getting oriented at the start of a session.

When your agent uses it

  • Reviewing everything the agent has stored about you
  • Getting oriented at the start of a new session
  • Comparing memories across several projects
  • Searching stored memories for a topic

Example prompts

  • “/mem0-tour --all-projects”
  • “Show me everything Mem0 remembers, grouped by category.”
  • “/mem0-tour cooking recipes”

Requirements

  • The mem0_memory tool available to the agent

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Fetch ALL memories
  2. Group by category
  3. Display results
  4. Print totals
  5. Empty state

What it can do on your machine

Read from SKILL.md and the folder at commit b7ad69a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Mem0 Memory Tour loads about 652 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 249 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~652

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mem0ai/mem0 at commit b7ad69a, republished under its Apache-2.0 licence (© mem0ai). 249 words, ~652 tokens.

Download SKILL.mdSave it as .claude/skills/tour/SKILL.md (or your agent's skills folder).
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:

CategoryDisplay name
identityIdentity & Background
preferencesPreferences
goalsGoals & Aspirations
projectsProjects & Initiatives
decisionsDecisions
technicalTechnical Knowledge
relationshipsPeople & Relationships
routinesRoutines & Workflows
lessonsLessons Learned
workWork & Professional
anything elseOther
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.

© mem0ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in integrations/pi-agent-plugin/skills/tour of mem0ai/mem0.

Open the folder on GitHubat commit b7ad69a

Compare with similar skills

Mem0 Memory Tour next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Mem0 Memory Tour compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mem0 Memory Tour this skillmem0ai/mem067k—~652Automated safety check: PassApache-2.0
Agenticx Memory ArchitectDemonDamon/AgenticX315—~1.1kAutomated safety check: PassApache-2.0
Hyperspacedb MemoryYARlabs/hyperspace-db162—~880Automated safety check: PassMIT
Self Improving Systemsooiyeefei/ccc494—~5.2kAutomated safety check: PassMIT
Mem0Anil-matcha/awesome-muse-connectors1.3k—~867Automated safety check: PassMIT
MemPalace Memory SearchMemPalace/mempalace59k—~1.4kAutomated safety check: PassMIT

Similar skills

  • Agenticx Memory Architect

    DemonDamon/AgenticX

    Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents.

    315 GitHub stars~1.1k tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Hyperspacedb Memory

    YARlabs/hyperspace-db

    Zero-overhead cognitive long-term and episodic memory for AI agents (Mem0 drop-in and mcp-hyperspace-memory).

    162 GitHub stars~880 tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Decide whether your agent actually needs persistent memory, feedback loops, or closed-loop learning, then design the smallest thing that pays for itself.

    494 GitHub stars~5.2k tokensUpdated 2 mo ago
    Agent WorkflowsAuto-check passed
  • Mem0

    Anil-matcha/awesome-muse-connectors

    Mem0 memory CLI: add memories from messages, semantic search, read or delete memories, poll async events.

    1.3k GitHub stars~867 tokensUpdated 4 days ago
    Agent WorkflowsAuto-check passed
  • MemPalace Memory Search

    MemPalace/mempalace

    Mines project files and conversation exports into a local, searchable memory palace and recalls past work by semantic search through the mempalace CLI.

    59k GitHub stars~1.4k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed
  • Installs and configures MemPalace as a private local palace, a shared-brain hub or a client of an existing hub, including MCP registration and version-correct initialization.

    59k GitHub stars~2.2k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed

More from mem0ai/mem0

All 26 skills in this repo
  • Adds persistent memory to AI apps with the Mem0 Python and TypeScript SDKs: store, search, update and delete user memories, with framework integrations.

    67k GitHub starsUsed in 1 repo~2.2k tokens
    Auto-check passed
  • Adds, searches, lists, updates and deletes memories on the Mem0 platform from the terminal with the mem0 command, including a JSON mode built for agents.

    67k GitHub stars~2k tokensUpdated today
    Auto-check: notes
  • Adds persistent memory to Vercel AI SDK apps with the Mem0 provider, using a wrapped model or standalone retrieve and store utilities.

    67k GitHub stars~2.3k tokensUpdated today
    Auto-check passed
  • Finds and deletes specific mem0 memories by search query or ID, always asking for confirmation first, and can undo the most recent memories added this session.

    67k GitHub stars~664 tokensUpdated today
    Auto-check passed
  • Saves a fact, decision or preference the user states into mem0 as written, labeled with a memory type such as decision, convention or user_preference.

    67k GitHub stars~560 tokensUpdated today
    Auto-check passed
  • Shows or changes the default Mem0 memory scope, project, session or global, which decides where memories are saved and searched.

    67k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

Works with

Questions about Mem0 Memory Tour

What does Mem0 Memory Tour do?

Shows every stored Mem0 memory grouped by category with full text, optionally across all projects or filtered by a search query. The skill fetches all memories through the mem0_memory tool and groups them by category under display names such as Identity and Background, Preferences, Goals and Aspirations, Projects and Initiatives, Decisions, Technical Knowledge, People and Relationships, Routines and Workflows, Lessons Learned and Work and Professional, with anything else under Other. Groups are sorted by memory count, show full text with dates, show the 10 most recent entries when a group is larger, and end with a total of memories across categories.

When should I use Mem0 Memory Tour?

Mem0 Memory Tour fits situations like: reviewing everything the agent has stored about you; getting oriented at the start of a new session; comparing memories across several projects; searching stored memories for a topic.

How do I install Mem0 Memory Tour in Claude Code?

Run `npx skills add mem0ai/mem0 --skill tour -a claude-code`. Or copy the skill folder (integrations/pi-agent-plugin/skills/tour in mem0ai/mem0) into .claude/skills/tour in your project. Claude Code loads it when a task matches its description.

How do I install Mem0 Memory Tour in Codex?

Run `npx skills add mem0ai/mem0 --skill tour -a codex`. Or copy the skill folder (integrations/pi-agent-plugin/skills/tour in mem0ai/mem0) into .agents/skills/tour in your project. Codex loads it when a task matches its description.

Can I use Mem0 Memory Tour in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mem0ai/mem0 --skill tour -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tour, .gemini/skills/tour, .github/skills/tour and .opencode/skills/tour in your project.

What does Mem0 Memory Tour need to run?

SKILL.md names no scripts, command-line tools or credentials: Mem0 Memory Tour is instructions for the agent only. Our summary lists: The mem0_memory tool available to the agent.

Does Mem0 Memory Tour access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Mem0 Memory Tour safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Mem0 Memory Tour use?

Mem0 Memory Tour is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Mem0 Memory Tour use?

About 652 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Mem0 Memory Tour?

Skills that share tags, products or a category with Mem0 Memory Tour: Agenticx Memory Architect (DemonDamon/AgenticX, 315 stars), Hyperspacedb Memory (YARlabs/hyperspace-db, 162 stars), Self Improving Systems (ooiyeefei/ccc, 494 stars) and Mem0 (Anil-matcha/awesome-muse-connectors, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mem0 Memory Tour?

mem0ai (a GitHub organization) maintains it in mem0ai/mem0, which has 66,867 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 9, 2026.

Source: mem0ai/mem0 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.