N8n Ai Agent Not Working
n8n AI agent nodes fail in 2026 most often because of three issues: the LLM credential is expired or rate-limited, a tool the agent is trying to call has a credential error or malformed output, or the agent's memory configuration is not persisting between runs (common with in-memory storage on restarts).
Why This Happens
- Configuration gaps between tools or services
- Missing integrations or manual workarounds that weren't designed to scale
- Changes in vendor behavior, pricing, or API that weren't communicated clearly
What To Check First
- Verify your current setup matches the vendor's latest documentation
- Look for recent changes — platform updates, new team members, configuration drift
- Check if the problem is consistent or intermittent (different root causes, different fixes)
When To Escalate
- The problem is costing you money or customers per week
- You've spent more than 2 hours on it without progress
- A vendor quoted you more than $500 and you're not sure if it's necessary
Dealing with this right now?
To debug: run the AI agent workflow manually from the n8n editor and watch the execution in real time. The agent node shows the LLM's reasoning steps, each tool call, and any errors. If the LLM call itself is failing, check the API key in your n8n credential — Claude, OpenAI, and other providers rotate keys differently. If tool calls are failing, run each tool node in isolation to confirm it works without the agent. For memory issues, switch from in-memory to a persistent memory node (PostgreSQL, Redis, or a simple n8n workflow variable).
