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mem0

Mem0 memory CLI: add memories from messages, semantic search, read or delete memories, poll async events. Trigger phrases: mem0, memory layer, remember this.

Install / Use

npx skills add Anil-matcha/awesome-muse-connectors --skill mem0

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Supported Platforms

Universal

Our assessment of mem0

mem0 scores 83/100 on our quality scale, 3186th of 4,592 Development & Engineering skills we index.

Its SKILL.md is 3.4 KB long, split into 7 sections with 1 code example: a solid amount of guidance for an agent.

With 1,321 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
15/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 20 days ago, so mem0 is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

mem0 compared with similar skills

All 4 of these similar skills score higher than mem0; compare them before choosing.

SkillScoreStarsUpdatedFormat
mem0 (this skill)by Anil-matcha831.3k20d agoSKILL.md
taste-skillby Leonxlnx100102.3ktodayCLAUDE.md
Agent-Reachby Panniantong100102.2ktodayCLAUDE.md
headroomby headroomlabs-ai10077.8k1d agoCLAUDE.md
ai-job-searchby ai-job-search-dev10065.4k4d agoCLAUDE.md

Frequently asked questions

How do I install mem0?
Run npx skills add Anil-matcha/awesome-muse-connectors --skill mem0. The install tabs above show the steps for each supported agent.
Which AI agents does mem0 work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is mem0 safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is mem0 still maintained?
The repository was last updated 20 days ago, so mem0 is actively maintained.

name: "mem0" description: "Mem0 memory CLI: add memories from messages, semantic search, read or delete memories, poll async events. Trigger phrases: mem0, memory layer, remember this." metadata: { "includeInPrompt": true } tagline: "Mem0 memory CLI: add memories from messages, semantic search, read or delete memories, poll async events." catalog_auth: "API key via the secure credential flow" catalog_hosts: ["api.mem0.ai"]

mem0

Purpose

Manage the user's mem0 memory layer: store memories extracted from messages, run semantic search over them, and handle the full lifecycle (list, read, delete) scoped by user, agent, or app. Use when the user mentions mem0, a persistent memory layer, or asks to remember or recall facts.

Tooling

All commands go through bin/mem0.py. Add and search are async: they return an event_id, which you poll with status.

bin/mem0.py auth                                                          # verify the API key
bin/mem0.py add --user-id alice --message "Michael prefers morning standups"  # store a memory (async)
bin/mem0.py status --event-id <event_id>                                  # poll an add/search event
bin/mem0.py search --user-id alice --query "meeting preferences"          # semantic search (async)
bin/mem0.py list --user-id alice                                          # list memories for a user
bin/mem0.py get --id <memory_id>                                          # get one memory
bin/mem0.py history --id <memory_id>                                      # change log of one memory
bin/mem0.py delete --id <memory_id>                                       # delete one memory (confirm first)
bin/mem0.py wipe --user-id alice                                          # delete ALL memories in scope (confirm first)

add needs one scope identifier (--user-id, --agent-id, --app-id, or --run-id); --role defaults to user.

Auth

  • Provider id: mem0 (credential is collected as custom.mem0)
  • Collection: API key via the secure credential flow (credentials.request_api_access); created at app.mem0.ai (keys look like m0-...; agents can self-mint via mem0 init --agent)
  • Scheme: nonstandard Authorization: Token <key> (NOT Bearer), plus Accept: application/json; sent verbatim by bin/mem0.py
  • Allowed hosts: api.mem0.ai
  • Status check: bin/mem0.py auth (must return "ok": true)

Operating Rules

  1. add, delete, and especially wipe are writes: confirm with the user before running them, unless standing permission exists. wipe deletes every memory in the scope; say exactly which scope it hits before confirming.
  2. Reading (search, list, get, history, status) needs no confirmation.
  3. Add and search are async: after add or search, poll status --event-id <event_id> until the event reports success, then read the results. Do not invent memory contents before the poll succeeds.
  4. mem0 v3 add is add-only: it does not auto-update or auto-delete older conflicting memories, so check search first when a fact may already exist.
  5. Free Hobby tier: 10k add requests + 1k retrieval requests per month. Stay inside it; warn before bulk operations.
  6. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/mem0.py). Do not print, log, or transmit the key value.

Files

  • SKILL.md
  • bin/mem0.py

Maturity

🧪 Draft: written from mem0's public API docs; not yet live-tested end-to-end.

Related Skills

View on GitHub
GitHub Stars1.3k
CategoryDevelopment
Updated20d ago
Forks305

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions