Agents just got an upgrade

Categories: Tools, Product

Summary

n8n just shipped a dedicated Agents tab that eliminates repetitive setup work, letting builders start with a working agent instead of a blank canvas. Pre-configured toggles for RAG, memory, and sub-agents ship with sensible defaults, while maintaining full power for advanced use cases—now available in preview on cloud and free self-hosted.

Key Takeaways

  1. Agents now live in a dedicated tab with pre-built integrations (chat, RAG, episodic memory, sub-agents) as toggles with sensible defaults, reducing boilerplate setup time while maintaining advanced capabilities.
  2. MCP (Model Context Protocol) library enables one-click connections to popular services on self-hosted deployments, removing friction for integrating external tools without manual configuration.
  3. Background agent execution with scheduled triggers allows non-deterministic tasks to run autonomously on a timer, completing objectives with all available resources—enabling automation previously limited to deterministic workflows.
  4. Reusable agent architecture: build one agent with tools/skills/personality, then deploy across multiple workflows via the message agent node or standalone via native chat—maximizing leverage across systems.
  5. Upload full reference file folders directly into agents for RAG-enhanced context, plus native skill support and access to a large tool node library—all without requiring custom workflow wiring.

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Transcript Excerpt

We just added a new way to build and use agents, a way that feels much more native. n8n is already well known for its agent nodes. Their modularity is great, but it also means that there's a set number of steps that you always need to do just to get started. And for anything advanced, it's up to the user to build into the workflow themself. That's why we added agents. Agents live in their own tab next to workflows. The setup you're used to doing in the workflow is now all in one simple place. From wiring in chat connections, rag, episodic memory, and sub agents, too. It's all just built in as a toggle with sensible defaults. So now when you make an agent, you're starting with something that actually works and is capable instead of a blank canvas. The simplicity isn't removing capabilities …

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