Mem Integrations
Put Mem to work with AI and enterprise-grade automation
4.9/5 on G2·
Google for Startups Accelerator
No Mem connector? The Agent builds one.
Web search for Mem's public API docs, or hand over your own — either way, the Agent researches the real API surface and ships a working connector.
Try Knit FreeNot a block library. Real code.
Legacy automation tools like Zapier, Workato, and Make hand you a fixed library of pre-built steps to drag, drop, and configure around the edges. Knit's Integrations Agent writes real, custom Mem integration code for your exact logic.
Legacy iPaaS
- Fixed library of pre-built steps — drag, drop, configure around the edges
- Capped by whatever the vendor's already built
- AI features bolted on after the fact
Knit Integrations Agent
- Real, inspectable code for your exact Mem logic
- Auto-builds a missing Mem connector itself
- Native LLM connectors built in, not bolted on
from knit import Knit
client = Knit(api_key=KNIT_API_KEY)
@client.on("new-note-created")
def create_a_document_from_a_template(event):
return client.documents_&_notes.create_a_document_from_a_template(
integration_id=MEM_INTEGRATION_ID,
record_id=event["id"],
fields={
"source": "Mem",
"synced_at": event["updated_at"],
},
# ...maps the event to a real "Create a document from a template" call
)Example: illustrative of what the Agent generates from a plain-English prompt — real, inspectable, and yours to edit.
Skip the engineering. Ship the workflows.
See what you can build with Mem on Knit
Mem → Cleft
When note tags are updated in Cleft, sync mem tags in Mem.
Mem → Day One
When a note is created in Mem, append or save it into Day One.
Mem → Carbon Voice
When an AI system prompt response is generated in Carbon Voice, save the summary as a mem in Mem.
Mem → Hiver bot
When a new bot response is generated in Hiver bot, save a note in Mem.
Mem → Cleft
When note tags are updated in Cleft, sync mem tags in Mem.
Mem → Day One
When a note is created in Mem, append or save it into Day One.
Mem → Carbon Voice
When an AI system prompt response is generated in Carbon Voice, save the summary as a mem in Mem.
Mem → Hiver bot
When a new bot response is generated in Hiver bot, save a note in Mem.
Mem → Clerk
When something happens in Mem, use Clerk to summarize it or draft a reply.
Mem → Exa AI
When something happens in Mem, use Exa AI to summarize it or draft a reply.
Mem → VLM Run
When something happens in Mem, use VLM Run to summarize it or draft a reply.
Mem → DeepSeek
When something happens in Mem, use DeepSeek to summarize it or draft a reply.
Mem → Clerk
When something happens in Mem, use Clerk to summarize it or draft a reply.
Mem → Exa AI
When something happens in Mem, use Exa AI to summarize it or draft a reply.
Mem → VLM Run
When something happens in Mem, use VLM Run to summarize it or draft a reply.
Mem → DeepSeek
When something happens in Mem, use DeepSeek to summarize it or draft a reply.
See the APIs & webhooks enabling Mem Integrations
The real endpoints Knit's Agent can call to turn a plain-English use case into working Mem Integration code
Get fine-grained control to customize exactly how your notes appear in Mem.
Send content directly to Mem that's automatically formatted into a note and organized for you.
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Customer Stories
See how leading technology firms are scaling their operations
Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
#1 in Ease of Integrations
4.9 out of 5 stars on G2
Common questions about the Mem automation
Is there a pre-built Mem automation?
Not yet — Mem isn't in Knit's Unified API or MCP Servers catalog today, so there's no pre-built connector for it either. The Integrations Agent can build the real automation (and the connector powering it) on demand instead of you waiting on our roadmap.
How does the Agent actually build the Mem connector?
It researches Mem's real public API documentation — authentication, endpoints, data schema — and writes a working connector against that real surface. You can also upload your own docs if Mem's aren't public.
How long does it take?
Minutes to build a first working version, not weeks — you test it against real Mem data before it goes anywhere near production.
What happens after the Agent builds it?
You own it. It runs the same way any Knit-built connector does — you are not left maintaining hand-rolled integration code yourself.
Could Mem become a real pre-built connector later?
Yes — as apps get built and used through the Agent, the highest-demand ones are natural candidates to join the pre-built Unified API/MCP Servers catalog directly.