---
title: "n8n Templates · Production n8n workflows with cross-session"
description: "Production n8n workflows with cross-session memory. Production-pattern hardened n8n workflow templates for voice agents, customer support, personal assistants."
canonical: "https://matthiasmeyer.tech/repos/n8n-templates"
language: "en"
last_updated: "2026-08-10"
markdown_versions: ["https://matthiasmeyer.tech/repos/n8n-templates.md", "https://matthiasmeyer.tech/de/repos/n8n-templates.md", "https://matthiasmeyer.tech/es/repos/n8n-templates.md"]
image: "https://matthiasmeyer.tech/api/og/repo/n8n-templates?lang=en"
publisher: "Matthias Meyer, https://matthiasmeyer.tech (llms.txt: https://matthiasmeyer.tech/llms.txt)"
---

workflow stable Python

# n8n Templates

Production n8n workflows with cross-session memory

Production-pattern hardened n8n workflow templates for voice agents, customer support, personal assistants. Multi-provider, powered by StudioMeyer Memory.

[View on GitHub →](https://github.com/studiomeyer-io/n8n-templates)

## What it solves

Without persistent memory every automated conversation starts from zero. A voice agent forgets the caller. A support bot asks a returning customer for their email the third time. A personal assistant misses the project context you discussed yesterday. These are n8n workflows that fix that, and they are ready to import rather than something you assemble.

## How it works

Every workflow follows the same loop: search the memory, reason with what came back, write the outcome back. The memory itself is StudioMeyer Memory, a hosted MCP backend with a knowledge graph, semantic search and tenant isolation. Each template is multi-provider from the start, so you pick OpenAI or Anthropic with one click and can add a Gemini or local Ollama branch with a single switch rule. The memory writes stay identical no matter which model you picked, which is the point: the workflow does not care.

## When to use it

Take them when you already run n8n and want a working starting point for a voice agent, a support bot or a personal assistant that remembers people between calls. The free tier of the memory backend is activated with one click in the portal and needs no card.

## When not to use it

They are templates, not a product. They assume a running n8n and someone who is comfortable editing a workflow. The memory-backed variants also assume a hosted backend, so if everything has to stay on your own hardware, start from the memory-free variant in the same repo instead.

Stars

★ 3

Forks

⑂ 1

Clones (14d)

⊟ 14

Language

Python

Updated

2026-08-10

## Related repos

- Local Memory MCP

    → uses memory from

    →

    https://matthiasmeyer.tech/repos/local-memory-mcp

- n8n Memory Node

    ← shipped together with

    →

    https://matthiasmeyer.tech/repos/n8n-nodes-studiomeyer-memory

- n8n Workflows

    ← memoryless variant of

    →

    https://matthiasmeyer.tech/repos/n8n-workflows

## Sitemap

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