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 mem0Installs into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
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.
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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| mem0 (this skill)by Anil-matcha | 83 | 1.3k | 20d ago | SKILL.md |
| taste-skillby Leonxlnx | 100 | 102.3k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 102.2k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 77.8k | 1d ago | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 65.4k | 4d ago | CLAUDE.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.
Skill content
View source on GitHubname: "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 ascustom.mem0) - Collection: API key via the secure credential flow (
credentials.request_api_access); created at app.mem0.ai (keys look likem0-...; agents can self-mint viamem0 init --agent) - Scheme: nonstandard
Authorization: Token <key>(NOT Bearer), plusAccept: application/json; sent verbatim bybin/mem0.py - Allowed hosts:
api.mem0.ai - Status check:
bin/mem0.py auth(must return"ok": true)
Operating Rules
add,delete, and especiallywipeare writes: confirm with the user before running them, unless standing permission exists.wipedeletes every memory in the scope; say exactly which scope it hits before confirming.- Reading (search, list, get, history, status) needs no confirmation.
- Add and search are async: after
addorsearch, pollstatus --event-id <event_id>until the event reports success, then read the results. Do not invent memory contents before the poll succeeds. - mem0 v3 add is add-only: it does not auto-update or auto-delete older conflicting memories, so check
searchfirst when a fact may already exist. - Free Hobby tier: 10k add requests + 1k retrieval requests per month. Stay inside it; warn before bulk operations.
- 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.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
