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/list-projects

Lists all projects with stored memories for the current user, showing memory counts and last activity dates. Use when checking which projects have memories, comparing memory distribution across repos, or finding a specific project scope.

From plugin
mem0
63k32 skills1 MCP
Install
$ npx -y skills add mem0ai/mem0 --skill list-projects --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/list-projects

Context preview

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

Lists all projects with stored memories for the current user, showing memory counts and last activity dates. Use when checking which projects have memories, comparing memory distribution across repos, or finding a specific project scope.

SKILL.md

list-projects.SKILL.md
name: list-projects
description: Lists all projects with stored memories for the current user, showing memory counts and last activity dates. Use when checking which projects have memories, comparing memory distribution across repos, or finding a specific project scope.

Mem0 List Projects

Show all known project scopes for the current user.

Execution

Step 1: Fetch memories to discover app_ids

There is no dedicated "list projects" API endpoint. Discover projects by fetching the user's memories across all scopes.

**Important:** A filter with only `user_id` triggers implicit null scoping — it excludes memories that have a non-null `app_id`. Run two queries and merge:

1. **Null-scoped:** `get_memories` with `filters={"AND": [{"user_id": "<active_user_id>"}]}`, `page_size=200` — catches memories without `app_id` 2. **App-scoped:** `get_memories` with `filters={"AND": [{"user_id": "<active_user_id>"}, {"app_id": {"exists": true}}]}`, `page_size=200` — catches memories with any `app_id`

Run both calls in parallel. Merge results, deduplicate by memory `id`.

If either response indicates more pages, paginate (up to 1000 total).

Step 2: Extract distinct projects

For each memory, determine project by: 1. Top-level `app_id` field (preferred) 2. `metadata.project_id` (legacy memories) 3. `metadata.project` (oldest format) 4. `"(unscoped)"` if none found

Group by resolved project name. For each project, count:

  • Total memories
  • Most recent `created_at` date
  • Top 3 `metadata.type` values by frequency

Step 3: Display

## mem0 projects

  <app_id_1>  <count> memories  (last: <date>) ← current
  <app_id_2>  <count> memories  (last: <date>)

<N> projects, <M> total memories

Mark current project with `← current`. Sort by memory count descending.

Step 4: Empty state

If zero memories found:

No projects found. Run /mem0:onboard to get started.
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Mem0 ("mem-zero") enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions.

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Python
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Apache-2.0
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2d ago
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Repo: mem0ai/mem0

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