How to Connect Mem0 to an AI Agent
Mem0 is the memory layer for AI applications — a managed store for the context an agent needs to remember across sessions. Preferences, decisions, prior conversations, project facts, customer history. Without a memory layer, every interaction starts from zero. With Mem0, AI workflows get continuity.
The day-to-day operation still requires work. You add memories, search them, prune the stale ones, scope them to the right user. Doing that through code is fine for engineers but slow for everyone else.
Carly is a full-service AI agent with 60+ integrations. Mem0 is one of them. Once connected, you can manage your memory store by emailing carly@usecarly.com or chatting at dashboard.carlyassistant.com. No SDK, no JSON, just instructions.
Connect Mem0
Mem0 uses an API key. Generate one in your Mem0 dashboard. Then go to dashboard.carlyassistant.com/integrations, find Mem0 under ML, click Connect, and paste the key.
Done. Your agent can now read and write memories on your account. See the full Mem0 integration page for use cases and FAQs.
What Your Agent Can Do With Mem0
Add Memories From Any Context
Email your agent:
To: carly@usecarly.com Subject: Store this for Acme
Store this in Mem0 for user_id “acme-co”: they’re on the Pro plan, renewal is October, primary contact is Lena (lena@acme.com), and they specifically asked us not to enable beta features without checking with her first.
The agent writes four scoped memories. The next time your support or success AI talks to anyone from Acme, those facts surface in retrieval.
Search Memories on Demand
Chat message to your agent:
What does Mem0 know about user_id “acme-co”?
The agent runs a search and returns a clean summary — plan, renewal, contacts, preferences. Useful before customer calls and renewals.
Update or Delete Stale Memories
To: carly@usecarly.com Subject: Update Acme contact
Lena is no longer the primary contact at Acme — it’s Marcus now (marcus@acme.com). Update Mem0 for user_id “acme-co”.
The agent finds the relevant memory and updates it. Old contact info gets replaced or marked superseded depending on how you’ve configured the store.
Pipe Memory Updates From Other Tools
Chat message to your agent:
Read my Slack thread with the Acme team about their renewal terms. Pull out anything we agreed to and store it in Mem0 for user_id “acme-co”.
The agent reads the Slack messages, extracts the commitments, and writes them to Mem0 — without you copy-pasting.
The Agent Learns How You Work
After you store a few memories, the agent learns your scope conventions, your tagging style, and the kinds of facts you consider memory-worthy. New facts from support tickets, CRM notes, and meeting recaps start landing in Mem0 with the right scope automatically.
This applies across everything — not just Mem0. The agent learns your data hygiene rules and applies them to every system it touches.
Build a Dedicated Memory Curator
Your main agent handles everything for you. But you can also create specialized email agents for memory curation specifically.
You are a memory curation assistant. When someone emails you:
1. Read the message and identify any facts that should be stored long-term
2. Determine the right scope — user_id, agent_id, or org-wide
3. Write the memory to Mem0 with appropriate tags
4. If you find a fact that contradicts an existing memory, flag it for review
Don't store transient information — only durable facts, decisions, and preferences.Give this agent an address like memory@yourdomain.usecarly.com. Customer success reps forward call notes to it. Engineers forward decisions from design reviews. The store stays current without anyone manually pushing data.
Workflows That Replace Manual Memory Management
Customer Context for Support AI
A support AI agent answers an inbound email. Before responding, it queries Carly: “Pull Mem0 memories for this user.” The agent returns plan, history, preferences, and any recent escalation flags. The support AI’s response is informed instead of generic.
Decision Capture After Meetings
To: carly@usecarly.com Subject: Product decisions from today
From this morning’s product review, we agreed to deprecate the legacy webhook API by Q4 and replace it with a new webhook v2 endpoint. Owner is Marcus. Any AI agent we build that talks about webhooks should use v2 going forward.
The agent stores the decision as an org-scoped memory. Future AI workflows that touch webhooks read this context and respond consistently.
Memory Audit and Cleanup
Chat message to your agent:
List all Mem0 memories for user_id “acme-co” that haven’t been referenced in the last 90 days. I want to review them and prune anything stale.
The agent pulls the candidates, you review, and prune commands go right back through chat.
Mem0 + Other Integrations
Memory updates flow naturally from your other tools:
- Mem0 + HubSpot — CRM notes about preferences and decisions land in Mem0 automatically
- Mem0 + Gmail — Customer email threads with renewal decisions get stored as memories
- Mem0 + Slack — Threads marked as “remember this” get written to Mem0
- Mem0 + Notion — Decisions captured in Notion docs get mirrored into Mem0 for AI workflows
- Mem0 + Linear/Jira — Resolutions on tickets get stored as memories scoped to the relevant customer
FAQ
Do I need a paid Mem0 plan?
Mem0 has a free tier sufficient for small projects. For production AI applications, a paid plan with higher limits and better retention is usually appropriate. Carly works on either.
Can the agent scope memories to specific users or agents?
Yes. Mem0 supports scoping by user_id, agent_id, and run_id. Tell the agent which scope to use when writing memories — it passes the right identifier to the API.
How does the agent decide what’s worth remembering?
By default, the agent stores what you explicitly ask it to. With a custom curator agent, you can specify rules — durable facts, decisions, preferences — and let it filter out transient information.
Can multiple AI agents share the same Mem0 store?
Yes. Mem0 is a shared backend. Your main agent, your custom email agents, and any other AI applications you’ve connected can all read and write to the same store with the same API key.
Will the agent surface memories during normal conversations?
If you ask. The main agent doesn’t auto-pull Mem0 context for every message — that would be wasteful. But you can tell it to query Mem0 before responding to certain users or topics, and it will.
What’s the difference between the main agent and a specialized email agent?
Carly is your personal AI assistant — it handles Mem0, email, scheduling, and 60+ other tools. Specialized email agents are AI employees you create for specific jobs — like a memory curator with its own email address that anyone on the team can forward facts to.
Connect Mem0 to your Carly agent →
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