Agent skill

Mem0 Project Tour

Shows everything mem0 has stored for the current project, grouped by category, with a compact search mode and an all-projects view.

Apache-2.0Auto-check passedAgent Workflows

Install Mem0 Project Tour

skills CLI

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

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

GitHub CLI

$ gh skill install mem0ai/mem0 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/opencode-plugin/opencode-skills/mem0-tour .claude/skills/mem0-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/

Paste into Claude Code

Install the "mem0-tour" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/opencode-plugin/opencode-skills/mem0-tour into .claude/skills/mem0-tour/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem0-tour", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/mem0ai/mem0/tree/main/integrations/opencode-plugin/opencode-skills/mem0-tour

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add mem0ai/mem0 --skill mem0-tour -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install mem0ai/mem0 mem0-tour --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mem0ai/mem0.git skills-src && mkdir -p .agents/skills && cp -r skills-src/integrations/opencode-plugin/opencode-skills/mem0-tour .agents/skills/mem0-tour && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "mem0-tour" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/opencode-plugin/opencode-skills/mem0-tour into .agents/skills/mem0-tour/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem0-tour", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add mem0ai/mem0 --skill mem0-tour -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install mem0ai/mem0 mem0-tour --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mem0ai/mem0.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/integrations/opencode-plugin/opencode-skills/mem0-tour .cursor/skills/mem0-tour && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "mem0-tour" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/opencode-plugin/opencode-skills/mem0-tour into .cursor/skills/mem0-tour/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem0-tour", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/mem0ai/mem0.git --path integrations/opencode-plugin/opencode-skills/mem0-tour

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add mem0ai/mem0 --skill mem0-tour -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install mem0ai/mem0 mem0-tour --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mem0ai/mem0.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/integrations/opencode-plugin/opencode-skills/mem0-tour .gemini/skills/mem0-tour && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "mem0-tour" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/opencode-plugin/opencode-skills/mem0-tour into .gemini/skills/mem0-tour/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem0-tour", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install mem0ai/mem0 mem0-tour

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add mem0ai/mem0 --skill mem0-tour -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

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

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "mem0-tour" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/opencode-plugin/opencode-skills/mem0-tour into .github/skills/mem0-tour/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem0-tour", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add mem0ai/mem0 --skill mem0-tour -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install mem0ai/mem0 mem0-tour --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "mem0-tour" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/opencode-plugin/opencode-skills/mem0-tour into .opencode/skills/mem0-tour/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem0-tour", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: mem0-tour
GitHub stars: 67k
Token cost: ~1.6k tokens
SKILL.md length: 540 words
Files: 1
Skills in repo: 26
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Shows everything mem0 has stored for the current project, grouped by category, with a compact search mode and an all-projects view.

Works in 6 steps: Fetch ALL memories for this project → Run supplementary semantic searches → Merge and group → …
Reviewing all memories stored for the current project
SKILL.md covers Cross-project mode, Peek mode (compact search), Execution and Output formatting
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

mem0-tour shows what mem0 has stored for the current project, using the get_memories and search_memories tools. The full tour fetches all memories for the active user and project in a page of 100, adds supplementary semantic searches for topics such as architecture decisions, and presents them grouped by category with full content. It suits onboarding to a project or reviewing captured decisions, conventions and learnings.

Two other modes branch off the same command. Passing a search query without any flag runs a compact peek mode with two parallel searches, one broad and one aimed at decision memories, deduplicated and shown as one-line results with type, date and a short ID. Passing --all-projects searches every project for the user, groups results by project and then by category, and marks the current project. When nothing matches, it says so plainly.

When your agent uses it

Reviewing all memories stored for the current project
Onboarding to a project through its captured decisions and conventions
Searching stored memories for one topic in a compact list
Seeing what mem0 holds across every project for the active user

Example prompts

“Give me a tour of what mem0 has stored for this project.”
“/mem0-tour auth middleware”
“Run the mem0 tour across all projects and mark the current one.”

Requirements

The mem0 plugin with its get_memories and search_memories tools

Workflow steps

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

Fetch ALL memories for this project
Run supplementary semantic searches
Merge and group
Display results
Print totals
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 Project Tour loads about 1.6k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 540 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~63
When it runs · the whole SKILL.md, loaded when a task matches: ~1.6k

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). 540 words, ~1,640 tokens.

Download SKILL.mdSave it as .claude/skills/mem0-tour/SKILL.md (or your agent's skills folder).

name: mem0-tour
description: Browses all stored memories grouped by category with full content display. Use when reviewing all project memories, exploring stored knowledge, onboarding to a project, or getting an overview of captured decisions, conventions, and learnings.

Mem0 Project Tour

Show the user what mem0 has stored for the current project.

Cross-project mode

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

Call get_memories with filters={"AND": [{"user_id": "<active_user_id>"}]}, page_size=200 — no app_id filter.
If a search query was also provided, run search_memories with query=<query>, filters={"AND": [{"user_id": "<active_user_id>"}]}, top_k=20 — again no app_id.
Group results by app_id first, then by category within each project.

Display:

## <app_id_1> (<N> memories) ← current
**Architecture Decisions** — <memory content>
...

## <app_id_2> (<N> memories)
...

<N> memories across <M> projects

Mark the current project with ← (current) in the heading.

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

Peek mode (compact search)

When /mem0-tour receives a search query argument (e.g., /mem0-tour auth middleware) WITHOUT --all-projects, run in peek mode — compact one-liner results:

Run 2 parallel search_memories calls:
- Broad: query=<query>, filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]}, top_k=10, rerank=true
- Targeted: query=<query>, filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}, {"metadata": {"type": "decision"}}]}, top_k=5, rerank=true

Deduplicate by ID, display compact results:

## mem0 search: "<query>" (<N> results)

1. [decision] Auth module uses JWT with RS256 keys (2025-05-15) [mem0:a3f8b2c1]
2. [anti_pattern] Don't use symmetric HS256 — leaked in env (2025-05-10) [mem0:7e2d9f4a]
3. [convention] All middleware in src/middleware/ (2025-05-08) [mem0:c4d5e6f7]

Format: <number>. [<type>] <content, 80 chars> (<date>) [mem0:<short_id>]

If no results: No memories matching "<query>" for project <project_id>.

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

Execution

Step 1: Fetch ALL memories for this project

Call get_memories to fetch all memories for this project:

filters={"AND": [{"user_id": "<active_user_id>"}, {"app_id": "<active_project_id>"}]}, page_size=100

Step 2: Run supplementary semantic searches

In parallel, run these search_memories calls to get relevance-ranked results for key topics:

query="architecture decisions design choices", filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]}, top_k=10, rerank=true
query="bugs errors failures anti-patterns", filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]}, top_k=10, rerank=true
query="project setup tooling conventions preferences", filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]}, top_k=10, rerank=true

Do NOT filter by metadata.type in these calls. The platform auto-assigns categories — filtering on metadata.type misses memories that were auto-categorized but don't have an explicit metadata.type.

Show full SKILL.md (249 more words)Show less

Step 3: Merge and group

Merge all results by memory ID (deduplicate). For each memory, determine its group using this priority:

Platform categories field (array on each memory, auto-assigned by Mem0). Use the first category value.
metadata.type field (if present, set explicitly by hooks/agent). Use as fallback if no categories.
"other" bucket for memories with neither.

Map category names to display names:

Platform category / metadata.type	Display name
`architecture decisions`, `architecture_decisions`, `decision`	Architecture Decisions
`anti patterns`, `anti_patterns`, `anti_pattern`	Anti-Patterns
`task learnings`, `task_learnings`, `task_learning`	Task Learnings
`coding conventions`, `coding_conventions`, `convention`	Coding Conventions
`user preferences`, `user_preferences`, `user_preference`	User Preferences
`project profile`, `project_profile`	Project Profile
`tooling setup`, `tooling_setup`, `environmental`	Tooling & Setup
`technology`, `professional_details`	Tooling & Setup
`session_state`	Session State
`compact_summary`	Compact Summaries
anything else	Other

Step 4: Display results

Sort groups by descending memory count. Display in compact tabular format:

First show the category summary table:

mem0 tour

Session (ses_abc123)  branch: main
Project: my-project  -  349 memories

Category                   Count
-----------------------------------------
tooling_setup                119
bug_fixes                     78
architecture_decisions        32
task_learnings                14
...

Then for each category (sorted by count descending), show memories as numbered one-liners. Truncate each memory to 100 chars max:

tooling_setup (119)
  1. User requires that no git commit or push be performed without explicit permission... 
  2. OpenCode plugins are loaded from ~/.config/opencode/plugins/ for global installation...
  3. Assistant determined that the symlink method for loading the Mem0 plugin was failing...
  ... and 116 more

bug_fixes (78)
  1. Fixed getAll filter format from flat object to AND-wrapped array for mem0ai TS SDK v3...
  2. Root cause of user_id mismatch: plugin derived kartik.labhshetwar from git email...
  ... and 76 more

Show top 5 memories per category by recency. If a group has more than 5, note ... and <N> more.

Skip empty groups entirely.

Step 5: Print totals

<N> memories across <M> categories
project: <project_id>  branch: <active_branch>

Identity - user: <user_id>  project: <project_id>  branch: <branch>

Step 6: Empty state

If zero memories found for this project, print:

No memories stored yet for project <project_id>.
Start working - mem0 captures learnings automatically, or use /mem0-remember to save something now.

Output formatting

IMPORTANT: Do NOT use markdown in your output. OpenCode TUI renders text verbatim - markdown like bold, ## headers, and | table | syntax appears as raw characters. Use plain text with indentation for structure. Use dashes for lists. Use spaces to align columns instead of markdown tables.

Files

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

Open the folder on GitHubat commit b7ad69a

Compare with similar skills

Mem0 Project 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 Project Tour compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Mem0 Project Tour this skillmem0ai/mem0	67k	—	~1.6k	Automated safety check: Pass	Apache-2.0	2 days ago
Agenticx Memory ArchitectDemonDamon/AgenticX	364	—	~1.1k	Automated safety check: Pass	Apache-2.0	today
Hyperspacedb MemoryYARlabs/hyperspace-db	162	—	~1.2k	Automated safety check: Pass	MIT	yesterday
Self Improving Systemsooiyeefei/ccc	495	—	~5.2k	Automated safety check: Pass	MIT	2 mo ago
Mem0Anil-matcha/awesome-muse-connectors	1.3k	—	~867	Automated safety check: Pass	MIT	5 days ago
Forgetful Repo EncodingScottRBK/forgetful	301	—	~1k	Automated safety check: Pass	MIT	today

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Questions about Mem0 Project Tour

What does Mem0 Project Tour do?

Shows everything mem0 has stored for the current project, grouped by category, with a compact search mode and an all-projects view. mem0-tour shows what mem0 has stored for the current project, using the get_memories and search_memories tools. The full tour fetches all memories for the active user and project in a page of 100, adds supplementary semantic searches for topics such as architecture decisions, and presents them grouped by category with full content.

When should I use Mem0 Project Tour?

Mem0 Project Tour fits situations like: reviewing all memories stored for the current project; onboarding to a project through its captured decisions and conventions; searching stored memories for one topic in a compact list; seeing what mem0 holds across every project for the active user.

How do I install Mem0 Project Tour in Claude Code?

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

How do I install Mem0 Project Tour in Codex?

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

Can I use Mem0 Project 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 mem0-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/mem0-tour, .gemini/skills/mem0-tour, .github/skills/mem0-tour and .opencode/skills/mem0-tour in your project.

What does Mem0 Project Tour need to run?

SKILL.md names no scripts, command-line tools or credentials: Mem0 Project Tour is instructions for the agent only. Our summary lists: The mem0 plugin with its get_memories and search_memories tools.

Does Mem0 Project 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 Project 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 Project Tour use?

Mem0 Project 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 Project Tour use?

About 1.6k tokens (SKILL.md is roughly 6.6k 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 Project Tour?

Skills that share tags, products or a category with Mem0 Project Tour: Agenticx Memory Architect (DemonDamon/AgenticX, 364 stars), Hyperspacedb Memory (YARlabs/hyperspace-db, 162 stars), Self Improving Systems (ooiyeefei/ccc, 495 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 Project Tour?

mem0ai (a GitHub organization) maintains it in mem0ai/mem0, which has 66,921 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.

Install Mem0 Project Tour

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Mem0 Project Tour

Cross-project mode

Peek mode (compact search)

Execution

Step 1: Fetch ALL memories for this project

Step 2: Run supplementary semantic searches

Step 3: Merge and group

Step 4: Display results

Step 5: Print totals

Step 6: Empty state

Output formatting

Files

Compare with similar skills

Similar skills

More from mem0ai/mem0

Related

Questions about Mem0 Project Tour