Zep consultants
We can help you automate your business with Zep and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing Zep.
About Zep
Zep is a long-term memory store for AI agents and chatbots, available as an n8n node. Unlike simple buffer memory that forgets everything when a session ends, Zep persists conversation history, extracts key facts, and lets your AI recall relevant context from days, weeks, or months ago. This transforms a basic chatbot into an assistant that genuinely remembers your users — their preferences, past issues, and ongoing projects.
Under the hood, Zep stores messages and automatically generates summaries of older conversations. When your AI agent receives a new message, Zep retrieves the most relevant historical context using semantic search rather than dumping the entire chat log into the prompt. This keeps token usage manageable while giving the model access to important details from past interactions. It also supports user-level memory, so each customer or team member gets their own persistent context.
For businesses building customer-facing AI or internal assistants that handle repeat interactions, Zep solves the biggest complaint users have with chatbots: “I already told you this.” Our AI agent development team has integrated Zep into support workflows, onboarding assistants, and account management bots. Combined with vector retrieval for knowledge base lookups, Zep-backed agents deliver the kind of personalised, context-aware experience that builds trust and reduces escalations to human staff.
Zep FAQs
Frequently Asked Questions
Common questions about how Zep consultants can help with integration and implementation
How is Zep different from Window Buffer Memory in n8n?
Does Zep work with all language models in n8n?
Can Zep remember different users separately?
How does Zep handle very long conversation histories?
Is Zep self-hosted or cloud-based?
What business use cases benefit most from Zep?
How it works
We work hand-in-hand with you to implement Zep
As Zep consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate Zep with integrate and automate 800+ tools.
Step 1
Identify Memory Requirements
We analyse your AI agent use case to determine what needs to be remembered — conversation history, user preferences, extracted facts, or a combination. This shapes the Zep configuration and determines whether self-hosted or cloud deployment suits your needs.
Step 2
Deploy and Configure Zep
Set up a Zep instance (self-hosted or cloud) and configure memory sessions, user identification, and retention policies. We ensure the instance is properly secured and sized for your expected conversation volume and user base.
Step 3
Connect Zep to Your n8n Workflow
Add the Zep memory node to your AI agent configuration in n8n. We wire it into the conversation loop so each new message automatically stores context and retrieves relevant history from past sessions.
Step 4
Configure Memory Extraction Rules
Set up Zep to extract and store key facts from conversations — names, preferences, issue details, and project context. This ensures your AI has structured recall alongside raw conversation history for more precise and helpful responses.
Step 5
Test Cross-Session Memory
Run test conversations across multiple sessions to verify that the AI correctly recalls past interactions, user preferences, and previously discussed topics. We check for accuracy, relevance, and appropriate handling of outdated information.
Step 6
Monitor Memory Quality and Usage
Track memory retrieval accuracy, storage growth, and user satisfaction over time. We set up dashboards to monitor Zep performance and schedule periodic reviews to prune outdated facts and optimise retrieval settings.
Transform your business with Zep
Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation Zep consultation.