Mem0 Automation and Approval Integration
Run Mem0 on autopilot. Keep the veto.
47 actions
Your Mem0 memory layer updates before you’ve reviewed what changed. Rills proposes actions like adding or deleting memories; you approve from your phone before anything affects your users.
Interactive. No signup. 14 days free · approvals always free.
Most automation fires first, asks later. Rills shows you the change before it ships.
Every consequential project management action from Mem0 arrives on your phone first. Approve in seconds. Decline without explaining yourself. Workflows wait, paused at zero cost, until you decide.
Queue 3
Delete 18 memories from user profile 42?
18 memories flagged as stale
Last cleanup ran 14d ago
No user interactions in 60 days
Free to wait. Free to think.
Approvals and logic don't cost a credit. Pause a workflow for three hours or three weeks. The price is the same: zero. You only pay when something real happens: an AI call, an outbound action.
Approve from your phone in five seconds.
Swipe right when you're sure. Decline when you're not. Between meetings, mid-coffee, on the train. No dashboard to babysit, no inbox triage, and no surprise send you find out about after it's already out the door.
Routine cases graduate themselves.
Every approval feeds a confidence score for that exact workflow shape. The obvious cases (the ones you've green-lit fifty times) start running on their own. The judgment calls still come to you.
About Mem0 automation
Mem0 stores the context that shapes how your AI responds. A bad memory update ships a confused reply to a paying customer. A batch deletion fires before you realize it cleared a user’s entire history. You don’t notice until the ticket rolls in at 2am.
When Mem0 runs unsupervised
Mem0 acts on memory changes, user actions, and agent configs the moment they hit. No pause, no review, no one checking what just went out.
- Delete memory batch with uuids: clears a batch of learning you wanted to keep, no undo.
- Add new memory records: writes incorrect facts about a customer, then every LLM reply repeats them.
- Create a new user: adds an account with full access you didn’t authorize.
- Update memory text content: overwrites a carefully set preference with scraped noise.
- Delete memory by id: removes a single memory that later turns out to be the one holding a refund rule.
What Rills does inside Mem0
Rills intercepts every write, delete, and user-lifecycle action Mem0 proposes. You see the change, the affected object, and the risk before it reaches your AI. Named operations like Delete memory batch with uuids and Add new memory records queue in your approval tray.
The memory still updates; you just decide whether it should.
Why Mem0 has no triggers and how Rills fills the gap
Mem0 doesn’t fire events when memories change or agents are created. Rills polls Mem0 state on a schedule or waits for upstream signals from your other tools to start workflows.
- Scheduled checks: every hour, query
Get user memory statsand flag anomalies for review. - Upstream integration triggers: when a Stripe dispute arrives, Rills runs
Perform semantic search on memoriesto find related customer context, then proposes a memory update. - Manual approval queues: batch operations like
Delete memory batch with uuidssit in your queue until you swipe, even without a trigger event. - Cross-tool workflows: a new user in your app triggers a Rills action to
Create a new userin Mem0, but only after you approve the sync.
Use this Mem0 automation to keep your AI memory layer accurate without giving it the keys. Approve Mem0 changes from your phone, even when the memory app doesn't fire alerts. For Project Management teams who need control over their LLM context.
What Rills can do in Mem0
6 of 47 actions across reads, writes, and updates.
- 01
Add new memory records
Store important information and context from conversations or interactions so your AI assistant can remember and reference them in future conversations. This helps maintain continuity across multiple sessions and builds a growing knowledge base about your work and customers.
- 02
Delete memory by id
Permanently remove a specific stored memory from your knowledge base using its unique ID. Use this when you need to delete outdated information, incorrect entries, or sensitive data that's no longer relevant.
- 03
Perform semantic search on memories
Search through your stored memories using natural language queries to quickly find relevant information, notes, and past interactions. This helps you instantly locate specific details without manually browsing through all your records.
- 04
Retrieve memory list
Fetch a filtered list of stored memories with support for pagination, allowing you to search by keywords, metadata, date ranges, and associated IDs to quickly locate specific information your AI has learned.
- 05
Search memories with filters
Find specific memories and information from your knowledge base using filters and search terms, helping you quickly locate relevant project details, notes, or past decisions without scrolling through everything.
- 06
Update memory text content
Modify the text content of a stored memory to keep your personal knowledge base current and accurate. This is useful when you need to update information that has changed or add important details you've learned since the memory was originally created.